Elevator car blocking method, device, camera device, storage medium and system

Abstract

The present application provides an elevator anti-vehicle method, device, imaging device, storage medium and system, belonging to the technical field of image processing. The method includes: obtaining a target image, which is an image for identifying an object entering an elevator car; inputting the target image into a vehicle recognition model to output a first recognition result and a second recognition result, where the first recognition result is whether the object is a first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is a second target vehicle allowed to enter the elevator car, and the similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range; if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, then control the elevator car to stop running. This method improves the accuracy of preventing the first target vehicle from entering the elevator car.

Description

Technical Field

[0001] The present application relates to the field of image processing technology, and in particular to an elevator blocking method, device, camera equipment, storage medium and system. Background Art

[0002] Electric vehicles have brought great convenience to people's daily life, but as more and more people live in high-rise buildings, many people take their electric vehicles to high-rise buildings for charging via elevators. High-rise buildings are densely populated, and during the charging process, electric vehicles are prone to fires due to short circuits in the charging circuit. Once a fire occurs, it will pose a serious threat to the lives and property safety of people in the high-rise buildings. Summary of the invention

[0003] The embodiment of the present application provides an elevator blocking method, device, camera equipment, storage medium and system, which can improve the accuracy of blocking a first target vehicle from entering an elevator car. The technical solution is as follows:

[0004] In one aspect, a method for stopping an elevator is provided, the method comprising:

[0005] Acquire a target image, where the target image is an image used to identify an object entering an elevator car;

[0006] Input the target image into a vehicle recognition model, and output a first recognition result and a second recognition result, wherein the first recognition result is whether the object is a first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is a second target vehicle allowed to enter the elevator car, and the similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range;

[0007] If the first recognition result is that the object is the first target vehicle, and the second recognition result is that the object is not the second target vehicle, the elevator car is controlled to stop running.

[0008] In a possible implementation, before inputting the target image into the vehicle recognition model and outputting the first recognition result and the second recognition result, the method further includes:

[0009] If the object is a vehicle, obtaining vehicle characteristic information of the vehicle;

[0010] If the vehicle feature information does not match the vehicle feature information of the first target vehicle, the step of inputting the target image into a vehicle recognition model and outputting a first recognition result and a second recognition result is performed.

[0011] In a possible implementation, the method further includes:

[0012] If the vehicle feature information matches the vehicle feature information of the first target vehicle, perform the step of controlling the elevator car to stop running.

[0013] In a possible implementation manner, the obtaining of the vehicle feature information of the vehicle includes at least one of the following implementation manners:

[0014] Identify the license plate information of the vehicle from the target image, and use the license plate information as the vehicle feature information; or,

[0015] Based on the target image, identify the weight information of the vehicle, and use the weight information as the vehicle feature information; or,

[0016] Scan a preset part of the vehicle, and use the scanned electrolyte information as the vehicle feature information.

[0017] In a possible implementation manner, the identifying of the weight information of the vehicle based on the target image includes:

[0018] Obtain the sum of the target object in the target image and the weight of the vehicle;

[0019] Based on the morphological feature information of the target object, determine the weight information of the target object;

[0020] Determine the difference between the sum of the weights and the weight information of the target object as the weight information of the vehicle.

[0021] In a possible implementation manner, the obtaining of the target image includes at least one of the following implementation manners:

[0022] Obtain a first image, where the first image is an image of the corridor where the elevator car is located;

[0023] Obtain a second image, where the second image is an image of the entrance of the elevator car;

[0024] Obtain a third image, where the third image is an image inside the elevator car.

[0025] In a possible implementation manner, if controlling the elevator car to stop running, the method further includes at least one of the following implementation manners:

[0026] Output an optical signal, where the optical signal is used for alarming;

[0027] Output an audio signal, where the audio signal is used for alarming;

[0028] Play video information, where the video information is used for alarming;

[0029] Send an alarm message to a first terminal, where the first terminal is a mobile terminal used by a first manager of the elevator car;

[0030] Send a notification message to a second terminal, where the second terminal is a fixed terminal used by a second manager of the elevator car, and the notification message is used to trigger the second manager to output an alarm message through an intercom; receive the alarm message output by the intercom.

[0031] In a possible implementation manner, the controlling the elevator car to stop running includes at least one of the following implementation manners:

[0032] Make the floor keys of the elevator car ineffective; or,

[0033] Make the door closing keys of the elevator car ineffective.

[0034] In a possible implementation manner, the training process of the vehicle recognition model includes:

[0035] Obtain a plurality of first sample images and a plurality of second sample images. The first label is already marked in the first sample images, and the first label indicates whether the first target vehicle is included in the first sample images. The second label is already marked in the second sample images, and the second label indicates whether the second target vehicle is included in the second sample images;

[0036] Based on the plurality of first sample images and the plurality of second sample images, perform model training to obtain the vehicle recognition model.

[0037] In a possible implementation manner, the obtaining a plurality of first sample images and a plurality of second sample images includes:

[0038] Based on the first target vehicle, obtain images of different vehicle models including the first target vehicle as first positive sample images, and obtain images not including the first target vehicle as first negative sample images. The first positive sample images and the first negative sample images form the first sample images;

[0039] Based on the second target vehicle, obtain images of different vehicle models including the second target vehicle as second positive sample images, and obtain images not including the second target vehicle as second negative sample images. The second positive sample images and the second negative sample images form the second sample images.

[0040] In a possible implementation manner, the process of obtaining a plurality of second sample images is:

[0041] Obtain a plurality of candidate sample images;

[0042] Determine the similarity between the object included in each candidate sample image and the first target vehicle;

[0043] Select a plurality of second sample images from the plurality of candidate sample images whose similarities are within a preset similarity threshold range.

[0044] In a possible implementation manner, the method further includes:

[0045] If the object exits the elevator car, restore the operating state of the elevator car.

[0046] In a possible implementation manner, if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, the method further includes:

[0047] Obtain the user information of the owner of the object;

[0048] Based on the user information, perform a punishment operation on the owner.

[0049] In a possible implementation manner, the performing a punishment operation on the owner based on the user information includes at least one of the following implementation manners:

[0050] Based on the user information, perform a penalty operation on the owner; or,

[0051] Based on the user information, reduce the credit value of the owner; or,

[0052] Based on the user information, restrict the owner from entering the target place, where the target place is the place where the elevator car is located.

[0053] In a possible implementation manner, the method further includes:

[0054] Obtain the motion information of the target object in the elevator car;

[0055] If it is determined based on the motion information that the motion amplitude of the target object is greater than a preset amplitude, execute the step of controlling the elevator car to stop running.

[0056] In a possible implementation manner, the method further includes:

[0057] Receive a release instruction, where the release instruction is triggered by the central control room of the elevator car;

[0058] Based on the release instruction, restore the operating state of the elevator car.

[0059] In a possible implementation manner, the method further includes:

[0060] After controlling the elevator car to stop running, obtain the multimedia resources for recording the current elevator blocking event;

[0061] Associate and store the attribute information of the multimedia resources and the multimedia resources.

[0062] In a possible implementation manner, the method further includes:

[0063] If a query instruction is received, based on the target attribute information carried by the query instruction, obtain the multimedia resources associated with the target attribute information, and play the multimedia resources; or,

[0064] Display a query interface, where the query interface includes the attribute information of at least one stored multimedia resource and a playback control for playing each multimedia resource; if a trigger operation on the playback control of any multimedia resource is received, play the any multimedia resource.

[0065] On the other hand, an elevator car blocking device is provided, and the device includes:

[0066] A first acquisition module, configured to acquire a target image, where the target image is an image for identifying an object entering the elevator car;

[0067] An input / output module, configured to input the target image into a vehicle recognition model, and output a first recognition result and a second recognition result, where the first recognition result is whether the object is a first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is a second target vehicle allowed to enter the elevator car, and the second target vehicle is within a preset similarity threshold range from the first target vehicle;

[0068] A control module, configured to control the elevator car to stop running if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle.

[0069] In a possible implementation manner, the device further includes:

[0070] A second acquisition module, configured to acquire the vehicle feature information of the vehicle if the object is a vehicle;

[0071] The input / output module, configured to input the target image into the vehicle recognition model and output a first recognition result and a second recognition result if the vehicle feature information does not match the vehicle feature information of the first target vehicle.

[0072] In a possible implementation manner, the device further includes:

[0073] The control module is configured to control the elevator car to stop operating if the vehicle feature information matches the vehicle feature information of the first target vehicle.

[0074] In a possible implementation, the second acquisition module includes at least one of the following recognition units:

[0075] The first recognition unit is configured to recognize the license plate information of the vehicle from the target image and use the license plate information as the vehicle feature information; or,

[0076] The second recognition unit is configured to recognize the weight information of the vehicle based on the target image and use the weight information as the vehicle feature information; or,

[0077] The third recognition unit is configured to scan a preset part of the vehicle and use the scanned electrolyte information as the vehicle feature information.

[0078] In a possible implementation, the second recognition unit is configured to:

[0079] Obtain the sum of the target object in the target image and the weight of the vehicle;

[0080] Determine the weight information of the target object based on the morphological feature information of the target object;

[0081] Determine the difference between the sum of the weights and the weight information of the target object as the weight information of the vehicle.

[0082] In a possible implementation, the first acquisition module includes at least one of the following acquisition units:

[0083] The first acquisition unit is configured to acquire a first image, where the first image is an image of the corridor where the elevator car is located;

[0084] The second acquisition unit is configured to acquire a second image, where the second image is an image of the entrance of the elevator car;

[0085] The third acquisition unit is configured to acquire a third image, where the third image is an image inside the elevator car.

[0086] In a possible implementation, if the elevator car is controlled to stop operating, the device further includes:

[0087] The first output module is configured to output an optical signal for alarming;

[0088] The second output module is configured to output an audio signal for alarming;

[0089] A first playback module for playing video information for alarm.

[0090] A first sending module for sending alarm information to a first terminal, where the first terminal is a mobile terminal used by a first manager of the elevator car.

[0091] A second sending module for sending notification information to a second terminal, where the second terminal is a fixed terminal used by a second manager of the elevator car, and the notification message is used to trigger the second manager to output alarm information through an intercom; receiving the alarm information output by the intercom.

[0092] In a possible implementation, the control module includes at least one of the following control units:

[0093] A first control unit for disabling the floor keys of the elevator car; or

[0094] A second control unit for disabling the door closing keys of the elevator car.

[0095] In a possible implementation, the device further includes:

[0096] A third acquisition module for acquiring a plurality of first sample images and a plurality of second sample images, where the first sample images are labeled with a first label indicating whether the first target vehicle is included in the first sample images, and the second sample images are labeled with a second label indicating whether the second target vehicle is included in the second sample images;

[0097] A training module for performing model training based on the plurality of first sample images and the plurality of second sample images to obtain the vehicle recognition model.

[0098] In a possible implementation, the third acquisition module includes:

[0099] A fourth acquisition unit for acquiring images of different vehicle models including the first target vehicle as first positive sample images based on the first target vehicle, and acquiring images not including the first target vehicle as first negative sample images, where the first positive sample images and the first negative sample images constitute the first sample images;

[0100] A fifth acquisition unit for acquiring images of different vehicle models including the second target vehicle as second positive sample images based on the second target vehicle, and acquiring images not including the second target vehicle as second negative sample images, where the second positive sample images and the second negative sample images constitute the second sample images.

[0101] In a possible implementation, the third acquisition module is configured to:

[0102] Acquire a plurality of candidate sample images;

[0103] Determine the similarity between the object included in each candidate sample image and the first target vehicle;

[0104] Select a plurality of second sample images from the plurality of candidate sample images, where the similarity is within a preset similarity threshold range.

[0105] In a possible implementation, the device further includes:

[0106] A first restoration module, configured to restore the operating state of the elevator car if the object exits the elevator car.

[0107] In a possible implementation, if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, the device further includes:

[0108] A fourth acquisition module, configured to acquire user information of the owner of the object;

[0109] A punishment module, configured to perform a punishment operation on the owner based on the user information.

[0110] In a possible implementation, the punishment module includes at least one of the following units:

[0111] A penalty unit, configured to perform a penalty operation on the owner based on the user information; or,

[0112] A credit value reduction unit, configured to reduce the credit value of the owner based on the user information; or,

[0113] A restriction unit, configured to restrict the owner from entering a target place based on the user information, where the target place is the place where the elevator car is located.

[0114] In a possible implementation, the device further includes:

[0115] A fifth acquisition module, configured to acquire motion information of a target object in the elevator car;

[0116] The control module is configured to control the elevator car to stop operating if it is determined based on the motion information that the motion amplitude of the target object is greater than a preset amplitude.

[0117] In a possible implementation, the device further includes:

[0118] A receiving module for receiving a release instruction triggered by the central control room of the elevator car;

[0119] A second recovery module for restoring the operating state of the elevator car based on the release instruction.

[0120] In a possible implementation, the device further includes:

[0121] A sixth acquisition module for acquiring multimedia resources for recording the current elevator blocking event after controlling the elevator car to stop running;

[0122] An association module for associating and storing the attribute information of the multimedia resources and the multimedia resources.

[0123] In a possible implementation, the device further includes:

[0124] A seventh acquisition module for, if a query instruction is received, acquiring the multimedia resources associated with the target attribute information based on the target attribute information carried by the query instruction and playing the multimedia resources; or,

[0125] A display module for displaying a query interface, where the query interface includes the attribute information of at least one stored multimedia resource and a playback control for playing each multimedia resource; if a trigger operation on the playback control of any multimedia resource is received, then play the any multimedia resource.

[0126] On the other hand, a camera device is provided, which includes one or more processors and one or more memories, and at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to implement the operations performed by the elevator blocking method as described in any one of the above.

[0127] On the other hand, a computer-readable storage medium is provided, in which at least one program code is stored, and the at least one program code is loaded and executed by a processor to implement the operations performed by the elevator blocking method as described in any one of the above.

[0128] On the other hand, an elevator blocking system is provided, and the system includes: a camera device and a controller;

[0129] The controller is electrically connected to the camera device;

[0130] The camera device is used to capture a target image, which is an image for identifying an object entering a controlled elevator car. The target image is input into a vehicle recognition model, and a first recognition result and a second recognition result are output. The first recognition result is whether the object is a first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is a second target vehicle allowed to enter the elevator car. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range. If the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, a ladder blocking instruction is sent to the controller.

[0131] The controller is used to control the elevator car to stop running based on the ladder blocking instruction.

[0132] In a possible implementation, the system further includes a relay.

[0133] The controller is electrically connected to the elevator car through the relay.

[0134] The relay is used to connect the communication link between the controller and the elevator car after the controller receives the ladder blocking instruction.

[0135] The controller is used to control the elevator car to stop running through the communication link.

[0136] In a possible implementation, the camera device is further used to, if the object is a vehicle, obtain the vehicle feature information of the vehicle. If the vehicle feature information does not match the vehicle feature information of the first target vehicle, the target image is input into the vehicle recognition model, and a first recognition result and a second recognition result are output.

[0137] In a possible implementation, the vehicle feature information includes the weight information of the vehicle. The system further includes a weight sensor, and the weight sensor is connected to the camera device.

[0138] The weight sensor is used to obtain the sum of the weights of the target object and the vehicle in the target image, and send the sum of the weights to the camera device.

[0139] The camera device is used to determine the weight information of the target object based on the morphological feature information of the target object, and determine the difference between the sum of the weights and the weight information of the target object as the weight information of the vehicle.

[0140] In a possible implementation, the vehicle feature information includes the electrolyte information of the vehicle.

[0141] The system further includes a scanning device configured to scan a preset part of the vehicle and send the scanned electrolyte information to the imaging device.

[0142] In a possible implementation, the system further includes a display screen; the display screen is installed in the elevator car and is electrically connected to the imaging device;

[0143] The display screen is configured to receive an alarm instruction sent by the imaging device and play video information based on the alarm instruction, where the video information is used for alarming.

[0144] In a possible implementation, the system further includes a first terminal, which is a mobile terminal used by a first manager of the elevator car;

[0145] The first terminal is electrically connected to the imaging device;

[0146] The imaging device is further configured to send an alarm message to the first terminal;

[0147] The first terminal is configured to output the alarm message.

[0148] In a possible implementation, the system further includes a second terminal and an intercom. The second terminal is a fixed terminal used by a second manager of the elevator car;

[0149] The second terminal and the intercom are respectively electrically connected to the imaging device;

[0150] The imaging device is further configured to send a notification message to the second terminal;

[0151] The second terminal is configured to display the notification message, where the notification message is used to trigger the second manager to output an alarm message through the intercom;

[0152] The intercom is configured to output an alarm message;

[0153] The imaging device is further configured to receive the alarm message output by the intercom.

[0154] In a possible implementation, the system further includes: a storage device, which is electrically connected to the imaging device;

[0155] The storage device is configured to obtain multimedia resources for recording the current elevator blocking event; and associate and store the attribute information of the multimedia resources and the multimedia resources.

[0156] In a possible implementation, the system further includes a third terminal, and the third terminal is electrically connected to the imaging device;

[0157] The third terminal is configured to, if a query instruction is received, based on the target attribute information carried in the query instruction, obtain the multimedia resources associated with the target attribute information from the storage device, and play the multimedia resources; or,

[0158] The third terminal is configured to display a query interface, where the query interface includes the attribute information of at least one stored multimedia resource and a playback control for playing each multimedia resource; if a trigger operation on the playback control of any multimedia resource is received, obtain the any multimedia resource from the storage device, and play the any multimedia resource.

[0159] In a possible implementation, the imaging device includes at least one of a first camera, a second camera, and a third camera;

[0160] The first camera is installed in the corridor where the elevator car is located;

[0161] The second camera is installed at the entrance of the elevator car;

[0162] The third camera is installed inside the elevator car.

[0163] On the other hand, a computer program product or a computer program is provided. The computer program product or the computer program includes computer program code, and the computer program code is stored in a computer-readable storage medium. A processor of the imaging device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, so that the imaging device performs the operations performed by the above elevator car blocking method.

[0164] The beneficial effects of the technical solution provided by the embodiments of the present application at least include:

[0165] The embodiments of the present application provide an elevator car blocking method. This method can respectively identify a first target vehicle prohibited from entering the elevator car and a second target vehicle allowed to enter the elevator car through a vehicle recognition model. Since the second target vehicle is a vehicle that is easily confused with the first target vehicle, based on the recognition results of these two target vehicles, controlling the elevator car can effectively filter out the interference of the second vehicle and improve the accuracy of blocking the first target vehicle from entering the elevator car. Description of the Drawings

[0166] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0167] Figure 1 It is a schematic diagram of an elevator car blocking system provided by an embodiment of the present application;

[0168] Figure 2 It is a flowchart of an elevator car blocking system provided by an embodiment of the present application;

[0169] Figure 3 It is a schematic diagram of an elevator car blocking system provided by an embodiment of the present application;

[0170] Figure 4 It is a flowchart of an elevator car blocking method provided by an embodiment of the present application;

[0171] Figure 5 It is a flowchart of an elevator car blocking method provided by an embodiment of the present application;

[0172] Figure 6 It is a flowchart of an elevator car blocking method provided by an embodiment of the present application;

[0173] Figure 7 It is a flowchart of an elevator car blocking method provided by an embodiment of the present application;

[0174] Figure 8 It is a block diagram of a camera device provided by an embodiment of the present application.

[0175] The reference numerals in the figure are respectively represented as:

[0176] 101 - Camera device;

[0177] 102 - Controller;

[0178] 103 - Elevator car;

[0179] 104 - Relay;

[0180] 105 - Control panel;

[0181] 106 - Light curtain controller;

[0182] 107 - Weight sensor;

[0183] 108 - Scanning device;

[0184] 109 - Display screen;

[0185] 110 - First terminal;

[0186] 111 - The second terminal;

[0187] 112 - Walkie - talkie;

[0188] 113 - Intercom alarm bell;

[0189] 114 - Landline phone;

[0190] 115 - Storage device;

[0191] 116 - Switch;

[0192] 117 - Voice interaction screen;

[0193] 118 - The first wireless device;

[0194] 119 - The second wireless device. Detailed implementation manners

[0195] To make the objectives, technical solutions and advantages of this application clearer, the following will further describe the implementation manners of this application in detail with reference to the accompanying drawings.

[0196] The terms "first", "second", "third", "fourth", etc. in the description and claims of this application and the accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non - exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0197] An embodiment of this application provides a system for preventing vehicles from entering an elevator. Refer to Figure 1 , the system includes: a camera device 101 and a controller 102.

[0198] The controller 102 is electrically connected to the camera device 101.

[0199] The camera device 101 is configured to capture a target image, where the target image is an image for identifying an object entering the elevator car 103 to be controlled. The target image is input into a vehicle recognition model, and a first recognition result and a second recognition result are output. The first recognition result is whether the object is a first target vehicle prohibited from entering the elevator car 103, and the second recognition result is whether the object is a second target vehicle allowed to enter the elevator car 103. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range. If the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, a ladder - blocking instruction is sent to the controller 102.

[0200] A controller 102 is configured to control the elevator car 103 to stop running based on a car-blocking instruction.

[0201] It should be noted that the system further includes an elevator car 103 to be controlled; the elevator car 103 is electrically connected to the controller 102.

[0202] The embodiment of the present application provides an elevator car-blocking system. The system can respectively identify a first target vehicle prohibited from entering the elevator car and a second target vehicle allowed to enter the elevator car through a vehicle recognition model. In this way, based on the recognition results of these two target vehicles, the elevator car is controlled, which can effectively filter out the interference of the second vehicle and improve the accuracy of blocking the first target vehicle from entering the elevator car.

[0203] It should be noted that the first target vehicle is a vehicle prohibited from entering the elevator car, that is, the first target vehicle is a vehicle that can cause danger. For example, the first target vehicle is a motorcycle, a locomotive, an electric vehicle, etc. Among them, the motorcycle can be an electric motorcycle, a motor-driven motorcycle using a battery for lighting, etc. An electric vehicle is a vehicle powered by a battery, including small electric vehicles, medium-sized electric vehicles, large electric vehicles, and cloak electric vehicles, that is, it includes all types of electric vehicles such as electric bicycles, electric motorcycles, and electric tricycles. The second target vehicle is a vehicle allowed to enter the elevator car, that is, the second target vehicle is a safe vehicle, a vehicle that does not require battery power, and has a similarity with the first target vehicle within a preset similarity threshold range, that is, a vehicle that is likely to be confused with the first target vehicle, including a wheelchair, a baby carriage, a trolley, a balance bike, a stretcher, a bicycle, etc.

[0204] The similarity between the first target vehicle and the second target vehicle includes shape similarity, weight similarity, etc. The shape similarity includes contour similarity, structure similarity, functional component similarity, etc.

[0205] It should be noted that the preset similarity threshold range is between 0 and 100%, and can be set and changed as needed; this preset similarity threshold range enables the second target vehicle to be recognized as a vehicle that is likely to be confused with the first target vehicle, and the second target vehicle is not recognized as the first target vehicle.

[0206] It should be noted that since the elevator car-blocking system provided by the embodiment of the present application controls the elevator car 103 by adding hardware such as a camera device 101 and a controller 102, and is not directly connected to the elevator system, it can be installed based on an AI (intelligent) elevator without re-wiring, which does not belong to elevator renovation, has a short installation period, and is simple to install, thereby improving the application efficiency of the elevator car-blocking system.

[0207] In an embodiment of the present application, the imaging device 101 includes at least one of a first camera, a second camera, and a third camera. The first camera is installed in the corridor where the elevator car 103 is located; the second camera is installed at the entrance of the elevator car 103; and the third camera is installed inside the elevator car 103.

[0208] In an embodiment of the present application, the installation positions of the first camera, the second camera, and the third camera can be set and changed as needed; for example, the first camera can be installed directly above the corridor entrance; the second camera can be installed directly above the entrance of the elevator car 103; the third camera can be installed in the upper left corner of the elevator car 103, etc.

[0209] In an embodiment of the present application, since the imaging device 101 includes a first camera, a second camera, and a third camera, in this way, through the first camera, the second camera, and the third camera, an object entering the elevator car 103 can be recognized multiple times. When any one of the first camera, the second camera, and the third camera recognizes that the object is the first target vehicle and not the second target vehicle, an alarm is started, thereby improving the comprehensiveness of imaging and the timeliness of the alarm.

[0210] In an embodiment of the present application, the first camera, the second camera, and the third camera can be intelligent dome cameras of model MS-DT200. This kind of camera adopts a high-performance two-million-pixel 1 / 2.8-inch CMOS (Complementary Metal-Oxide-Semiconductor) image sensor, has good low-light effect and high image clarity. It is built with a high-performance GPU chip, supports deep learning algorithms, and provides accurate vehicle and person classification detection; supports H.265 and can output 2 million (1920×1080) @ 30fps. It is built with an efficient white light and infrared fill light, and the maximum infrared monitoring distance is 40 meters; it supports intelligent detection: area intrusion, tripwire intrusion, fast movement (all three support vehicle and person classification and accurate detection), object left, object moved, loitering detection, people gathering, parking detection, heat map. It supports sound and light alarm linkage, and when an alarm occurs, it can trigger a linked sound alarm and white light flashing. It supports built-in MIC IN, supports 2 alarm inputs and 2 outputs, 1 audio input and 1 output, and a 256G SD card; it supports DC (direct current) 12V / POE (Power Over Ethernet) power supply method, which is convenient for engineering installation.

[0211] It should be noted that the imaging device 101 is also used to output an optical signal and an audio signal, and the optical signal and the audio signal are respectively used for alarm.

[0212] The optical signal output by the imaging device 101 can be white light, red light, etc. The audio signal output by the imaging device 101 can be an alarm voice, an alarm ringtone, etc.; the alarm voice and the alarm ringtone can be set and changed as needed. For example, the alarm voice can be the voice of "The public security reminds that fire is ruthless, and electric vehicles are not allowed to enter the elevator."

[0213] Continue to refer to Figure 1 , the system further includes a relay 104. The controller 102 is electrically connected to the elevator car 103 through the relay 104. The relay 104 is used to connect the communication link between the controller 102 and the elevator car 103 after the controller 102 receives the elevator blocking instruction. The controller 102 is used to control the elevator car 103 to stop running through the communication link.

[0214] Among them, the system further includes a control panel 105, and the control panel 105 is used to display some buttons of the elevator car 103; for example, an opening button is displayed on the control panel 105, and the controller 102 is electrically connected to the opening button. When the controller 102 receives the elevator blocking instruction, the controller 102 controls the opening button displayed on the control panel 105 to be in a pressed state, that is, the opening button is displayed in a red constant-on state.

[0215] For another example, a warning button is also displayed on the control panel 105, and the controller 102 is electrically connected to the warning button. When the controller 102 receives the elevator blocking instruction, the controller 102 controls the warning button displayed on the control panel 105 to be in a pressed state, that is, the opening button is displayed in a red constant-on state to alarm the user through the warning button.

[0216] Among them, the system further includes a light curtain controller 106, and the controller 102 is connected to the light curtain controller 106. When the controller 102 receives the elevator blocking instruction, the light curtain controller 106 is in a state of receiving an optocoupler signal, so that the elevator car door is in an open state all the time, that is, the elevator car 103 stops running.

[0217] Among them, the position of the controller 102 in the elevator car 103 can be set and changed as needed; for example, continue to refer to Figure 1 , the controller 102 can be installed outside the top of the elevator car 103.

[0218] In the embodiment of the present application, by setting the relay 104, the connection between the controller 102 and the control panel 105 is controlled; in this way, when the controller 102 receives the elevator blocking instruction, the controller 102 and the control panel 105 can be connected to prevent the elevator car 103 from running; when the controller 102 does not receive the elevator blocking instruction, the controller 102 and the control panel 105 can be disconnected to restore the running state of the elevator car 103, thereby improving the flexibility of the elevator car blocking system.

[0219] In an embodiment of the present application, the imaging device 101 is further configured to, if the object is a vehicle, obtain the vehicle feature information of the vehicle; if the vehicle feature information does not match the vehicle feature information of the first target vehicle, input the target image into the vehicle recognition model, and output a first recognition result and a second recognition result.

[0220] Wherein, the vehicle feature information includes at least one of the weight information and the electrolyte information of the vehicle. In an embodiment of the present application, the weight information of the vehicle is the weight of the vehicle. The electrolyte information of the vehicle is whether the vehicle contains an electrolyte or an electrolyte solution, and the electrolyte is the electrolyte or electrolyte solution contained in the vehicle's battery.

[0221] Continue to refer to Figure 1 , the system further includes a weight sensor 107, and the weight sensor 107 is connected to the imaging device 101; the weight sensor 107 is configured to obtain the sum of the weights of the target object and the vehicle in the target image, and send the sum of the weights to the imaging device 101; the imaging device 101 is configured to determine the weight information of the target object based on the morphological feature information of the target object, and determine the difference between the sum of the weights and the weight information of the target object as the weight information of the vehicle. Wherein, the weight sensor 107 is installed on the outer bottom of the elevator car 103.

[0222] It should be noted that since an electric vehicle contains a battery, it is much heavier than other types of vehicles such as wheelchairs, baby carriages, handcarts, balance bikes, stretchers, bicycles, etc.; thus, using the weight information of the vehicle as the vehicle feature information can effectively distinguish electric vehicles from vehicles other than electric vehicles.

[0223] In an embodiment of the present application, the target object includes at least one person, and the sum of the weights of the target object and the vehicle is the sum of the weights of at least one person and the vehicle.

[0224] Continue to refer to Figure 1 , the system further includes a scanning device 108, and the scanning device 108 is configured to scan a preset part of the vehicle and send the scanned electrolyte information to the imaging device 101.

[0225] Wherein, the scanning device 108 can be an X-ray scanning device 108, which can scan the electrolyte in the vehicle. The preset part of the vehicle is the part for placing the battery, including the footrest of the vehicle, the saddle of the vehicle, etc.

[0226] It should be noted that the scanning device 108 is installed inside the elevator car 103, and the position of the scanning device 108 inside the elevator car 103 can be set and changed as needed; for example, the scanning device 108 can be installed on the left side of the elevator car 103 or on the right side of the elevator car 103.

[0227] In the embodiment of the present application, since the storage battery of the electric vehicle mainly contains electrolytes, while other types of vehicles such as wheelchairs, baby carriages, trolleys, scooters, stretchers, bicycles, etc. do not have storage batteries; thus, taking the electrolyte information as the vehicle characteristic information can effectively distinguish electric vehicles from vehicles other than electric vehicles.

[0228] Continue to refer to Figure 1 , the system further includes a display screen 109; the display screen 109 is installed in the elevator car 103, and the display screen 109 is electrically connected to the imaging device 101; the display screen 109 is configured to receive an alarm instruction sent by the imaging device 101 and play video information based on the alarm instruction, and the video information is used for alarm.

[0229] Among them, the video information can be a promotional video released by the public security department to prohibit electric vehicles from entering the elevator.

[0230] In a possible implementation manner, the alarm instruction is an instruction for instructing the display screen 109 to play video information, and the video information is stored in the display screen 109. After receiving the alarm instruction, the display screen 109 plays the video information.

[0231] In another possible implementation manner, the alarm instruction carries video information. After receiving the alarm instruction, the display screen 109 plays the video information carried by the alarm instruction.

[0232] In the embodiment of the present application, the display screen 109 is also connected to the control panel 105. The display screen 109 is an intelligent screen for voice interaction. When the elevator car 103 is running normally, the user can talk to the display screen 109 and say the target floor they want to go to, that is, select the floor on the control panel 105, thereby realizing AI voice interaction and avoiding virus infection caused by the user contacting the control panel 105.

[0233] In the embodiment of the present application, the position of the display screen 109 in the elevator car 103 can be set and changed as needed; for example, the display screen 109 can be installed at the control panel 105, opposite the control panel 105, etc.

[0234] In the embodiment of the present application, by setting the display screen 109, the video information for alarm can be played, so that after the owner of the object entering the elevator receives the video information, the object can be withdrawn from the elevator car 103.

[0235] Refer to Figure 2 , the system further includes a first terminal 110. The first terminal 110 is a mobile terminal used by the first manager of the elevator car 103. The first terminal 110 is electrically connected to the imaging device 101. The imaging device 101 is further configured to send alarm information to the first terminal 110; the first terminal 110 is configured to output the alarm information.

[0236] It should be noted that the first terminal 110 in the embodiments of the present application can be a mobile terminal such as a mobile phone, a tablet computer, and a notebook computer, and can be carried around by the first manager. The background management APP of the elevator car 103 is installed on the first terminal 110. After the imaging device 101 sends an alarm message to the first terminal 110, the first terminal 110 receives the alarm message based on the background management APP, and outputs the alarm message on the first terminal 110 based on the background management APP. The alarm message output by the first terminal 110 can be a pop-up alarm, a map flashing alarm, a sound alarm, or an email alarm, etc.

[0237] In the embodiments of the present application, by connecting the imaging device 101 to the mobile terminal used by the first manager, the first manager can receive the alarm message in a timely manner regardless of when and where, and thus can timely grasp the situation that the object entering the elevator car 103 is the first target vehicle prohibited from entering the elevator car 103, improving the efficiency of elevator management.

[0238] Continue to refer to Figure 2 , the system further includes a second terminal 111 and an intercom 112. The second terminal 111 is a fixed terminal used by the second manager of the elevator car 103; the second terminal 111 and the intercom 112 are respectively electrically connected to the imaging device 101; the imaging device 101 is further configured to send a notification message to the second terminal 111; the second terminal 111 is configured to display the notification message, and the notification message is used to trigger the second manager to output an alarm message through the intercom 112; the intercom 112 is configured to output an alarm message; the imaging device 101 is further configured to receive the alarm message output by the intercom 112.

[0239] Among them, the second terminal 111 is a fixed terminal in the central control room, and the intercom 112 is installed at a fixed position matching the second terminal 111, that is, the intercom 112 is installed in the central control room where the second terminal 111 is located, and is the intercom 112 used by the second management personnel in the central control room, so that the second management personnel in the central control room output an alarm message through the intercom 112.

[0240] In the embodiments of the present application, the second terminal 111 is a monitoring and management platform for the elevator car 103, and the monitoring and management platform can be an imaging device or the like. The notification message displayed by the second terminal 111 can be a pop-up alarm, a map flashing alarm, a sound alarm, or an email alarm, etc.; among them, the pop-up alarm can be to display an image of the first target vehicle entering the elevator car 103 on the second terminal 111, and the image of the first target vehicle entering the elevator car 103 is as Figure 3 shown. After receiving the notification message, the second manager outputs an alarm message through the intercom 112, and the alarm message can be an alarm voice such as "Please do not push the electric vehicle into the elevator, the consequences of the fire are very serious".

[0241] It should be noted that the imaging device 101 in the embodiments of the present application has a voice intercom function, and relevant personnel in the elevator car 103 and the second manager can have a voice conversation through the intercom 112 and the imaging device 101.

[0242] In the embodiments of the present application, by electrically connecting the second terminal 111 and the intercom 112 to the imaging device 101 respectively, the second manager can receive notification information in a timely manner, so as to timely master the situation that the object entering the elevator car 103 is the first target vehicle prohibited from entering the elevator car 103, and output an alarm message through the intercom 112. When the object does not exit the elevator car 103, the second manager can immediately initiate a remote intercom to remind relevant personnel, thereby improving the management efficiency.

[0243] In another possible implementation manner, an intercom alarm bell 113 is provided in the elevator car 103. The intercom alarm bell 113 is electrically connected to the intercom 112 and can be connected through a wireless bridge or an RVVP (shielded twisted pair) cable. The intercom 112 is used to output an alarm message, and the intercom alarm bell 113 is used to receive the alarm message output by the intercom 112. Relevant personnel in the elevator car 103 and the second manager can have a voice conversation through the intercom 112 and the intercom alarm bell 113.

[0244] In another possible implementation manner, referring to Figure 2 , the system further includes a landline phone 114. An intercom alarm bell 113 is provided in the elevator car 103. The landline phone 114 is electrically connected to the intercom alarm bell 113 and can be connected through an RVVP (shielded twisted pair) cable. The landline phone 114 is used to output an alarm message, and the intercom alarm bell 113 is used to receive the alarm message output by the intercom 112. Relevant personnel in the elevator car 103 and the second manager can have a voice conversation through the landline phone 114 and the intercom alarm bell 113.

[0245] Continuing to refer to Figure 2 , the system further includes a storage device 115. The storage device 115 is electrically connected to the imaging device 101; the storage device 115 is used to obtain multimedia resources for recording the current elevator blocking event; and the attribute information of the multimedia resources and the multimedia resources are associated and stored.

[0246] It should be noted that the storage device 115 can be a network digital video recorder. The device for recording the current elevator blocking event can be the imaging device 101 for obtaining the target image, or another imaging device 101 electrically connected to the storage device 115. In the embodiments of the present application, the example where the device for recording the current elevator blocking event is the imaging device 101 for obtaining the target image is used for illustration.

[0247] The imaging device 101 records the current elevator blocking event, including at least one of the following implementation manners:

[0248] In a possible implementation manner, when the controller 102 controls the elevator car 103 to stop running, the imaging device 101 is linked to perform preview or recording. In another possible implementation manner, the imaging device 101 always performs preview or recording without interruption.

[0249] In the embodiment of the present application, the system further includes a third terminal, which is electrically connected to the imaging device 101; the third terminal is configured to, if a query instruction is received, obtain the multimedia resource associated with the target attribute information from the storage device 115 based on the target attribute information carried in the query instruction, and play the multimedia resource; or, the third terminal is configured to display a query interface, where the query interface includes the attribute information of at least one stored multimedia resource and a playback control for playing each multimedia resource; if a trigger operation on the playback control of any multimedia resource is received, obtain any multimedia resource from the storage device 115 and play any multimedia resource.

[0250] In a possible implementation manner, the storage device 115 may be a storage device 115 external to the third terminal, that is, the storage device 115 and the third device may be two separate devices; the storage device 115 may also be a memory in the third terminal; correspondingly, the storage device 115 and the third device may be an integrated device.

[0251] In the embodiment of the present application, the second terminal 111 and the third terminal may be different terminals or the same terminal. If the third terminal and the second terminal 111 are the same terminal, this terminal is a background terminal for a monitoring and management platform, and the monitoring and management system of this platform may adopt the Smartpss (network monitoring and management software) system.

[0252] Continue to refer to Figure 2 , the system further includes a switch 116, and the imaging device 101 is connected to the first terminal 110, the second terminal 111, and the third terminal respectively through the switch 116. The switch 116 is connected to the first terminal 110, the second terminal 111, and the third terminal through network cables. The switch 116 is connected to the imaging device 101 in a wireless bridge manner. A first wireless device 118 is provided at the elevator car 103, and a second wireless device 119 is provided at the switch 116. The switch 116 and the imaging device 101 are connected through the first wireless device 118 and the second wireless device 119 to implement wireless bridge connection.

[0253] In the embodiment of the present application, the switch 116 and the wireless device are connected by means of a wireless bridge, saving the wiring project between the switch 116 and the camera device 101, and greatly saving the maintenance cost caused by factors such as line faults and aging; moreover, the position of the camera device 101 can be adjusted arbitrarily according to needs without any line adjustment, thus making the construction of the entire elevator car blocking system extremely simple, with a short construction period and quick results.

[0254] Continue to refer to Figure 1 , the system further includes a voice interaction screen 117 installed at the elevator entrance, and the voice interaction screen 117 is electrically connected to the control panel 105 for going up and down; users can call the control panel 105 through the voice interaction screen 117 according to their needs of going up or down to select the button for going upstairs or downstairs.

[0255] The installation method of the elevator car blocking system provided by the embodiment of the present application is flexibly selectable. It can be installed based on an AI (intelligent) elevator and used in conjunction with a complete set of AI elevator systems, with all the functions of a smart elevator. The system optimizes the application environment and is widely applied to passenger elevators, freight elevators, medical elevators, etc. of all categories and brands. The elevator car blocking system provided by the embodiment of the present application can also be independently deployed without re-wiring and does not belong to the technical field of elevator transformation; the installation and commissioning of this elevator car blocking system take no more than 1 hour, with a short installation period and simple installation, and the elevator can resume operation in a short time without affecting the elevator-riding needs of residents and the passage order.

[0256] Taking a certain elevator installed with the elevator car blocking system provided by the embodiment of the present application as an example, the number of electric vehicles entering the elevator in the previous week, the first week, the second week, and the third week was respectively counted, and the numbers were 136, 67, 17, and 0. It can be seen that by installing the elevator car blocking system provided by the embodiment of the present application, the situation of electric vehicles entering the elevator car 103 is effectively reduced or even eliminated.

[0257] The elevator car blocking system provided by the embodiment of the present application combines multiple aspects such as AI voice interaction, face / image recognition, Internet of Things, automatic control, big data, and operation management, effectively improving the elevator management efficiency and the safety of taking the elevator.

[0258] It should be noted that the AI ​​elevator blocking algorithm, camera 101, relay 104 and related operation and maintenance quality assurance services constitute a local elevator blocking system; the system realizes the elevator blocking function based on the intelligent detection of deep learning algorithms, linkage white light alarm and linkage sound alarm, which is easy to install, can reduce safety hazards, and has a short installation period. The AI ​​elevator blocking algorithm, wireless bridge, elevator blocking management platform, camera 101, relay 104 and related operation and maintenance quality assurance services constitute a linkage elevator blocking system; the system adds a remote control function of the fire control room to the local elevator blocking function. When an electric vehicle does not leave, the fire control room can immediately initiate a remote intercom to remind relevant personnel; management personnel can cancel emergency false alarms through the back end of the fire control room to ensure the normal operation of the elevator; afterwards, relevant pictures or videos can be quickly retrieved according to the channel, video type, time, etc. The system effectively reduces the number of electric vehicles going upstairs, remotely eliminates alarms, improves management efficiency, and can quickly track illegal electric vehicle elevator entry incidents afterwards, which can improve work efficiency and has a short installation period. The AI ​​smart elevator system, wireless bridge, sensor, camera 101, relay 104, server and on-site operation and maintenance constitute a smart elevator management system, i.e., the elevator blocking system provided by the embodiment of the present application. The system can also collect physical, environmental and human behavior data through non-contact measurement and video intelligent recognition technology, monitor the core operation data such as the running speed, door opening and closing speed, running mileage, vibration, motor current of the elevator car 103, and realize real-time online detection of the elevator, and then timely intelligent alarm, risk warning and emergency rescue can be carried out through big data analysis for damaged elevators, blocked elevator doors, emergency stops of elevators, etc., to ensure the safety of elevator operation, thereby effectively supervising and managing unsafe human behaviors. In this way, by installing an intelligent monitoring system based on the Internet of Things, a 24-hour real-time physical examination and monitoring of the operation status of each floor of the elevator is carried out, realizing the dual operation mode of online monitoring + offline maintenance, realizing the transformation of the new maintenance mode, improving the maintenance effect, and effectively reducing the cost of elevator maintenance and repair, providing elevator safety for public travel.

[0259] An embodiment of the present application provides an elevator vehicle blocking system, which can respectively identify a first target vehicle that is prohibited from entering an elevator car and a second target vehicle that is allowed to enter the elevator car through a vehicle recognition model. Since the second target vehicle is a vehicle that is easily confused with the first target vehicle, the elevator car can be controlled based on the recognition results of the two target vehicles, which can effectively filter out the interference of the second vehicle and improve the accuracy of blocking the first target vehicle from entering the elevator car.

[0260] The present application embodiment provides a method for stopping a car in an elevator. Figure 4 , methods include:

[0261] Step 401: The imaging device acquires a target image, which is an image for identifying an object entering the elevator car.

[0262] Among them, the target image can be an image of an object about to enter the elevator car, an image of an object entering the elevator car, an image of an object that has entered the elevator car, etc.

[0263] This step includes at least one of the following three implementation manners:

[0264] (1) The imaging device acquires a first image, which is an image of the corridor where the elevator car is located.

[0265] (2) The imaging device acquires a second image, which is an image of the entrance of the elevator car.

[0266] (3) The imaging device acquires a third image, which is an image of the interior of the elevator car.

[0267] It should be noted that the imaging device acquires the first image, the second image, and the third image through a first camera, a second camera, and a third camera respectively. In one possible implementation manner, the imaging device acquires the first image, the second image, or the third image; in another possible implementation manner, the imaging device acquires the first image and the third image; or, the imaging device acquires the second image and the third image; in another possible implementation manner, the imaging device acquires the first image, the second image, and the third image.

[0268] In the embodiments of the present application, taking the imaging device acquiring the first image, the second image, and the third image as an example for description. The imaging device acquires the first image, the second image, and the third image, that is, acquires the image of the corridor where the elevator is located, the image of the entrance of the elevator car, and the image of the interior of the elevator car respectively. In this way, by acquiring the images of the elevator car in three different aspects, the image of the object entering the elevator car obtained is more comprehensive.

[0269] It should be noted that since the colors of the first target vehicle and the second target vehicle are diverse, the colors of the first target vehicle and the second target vehicle are likely to be the same as or similar to the background color inside the elevator car, the background color at the elevator car entrance, or the background color in the corridor where the elevator car is located. If the first target vehicle and the second target vehicle are identified only through the target image at one position, the colors of the first target vehicle and the second target vehicle may be confused with the background color inside the elevator car, the background color at the elevator car entrance, or the background color in the corridor where the elevator car is located, resulting in the failure to identify the first target vehicle and the second target vehicle. In the embodiment of the present application, the first target vehicle and the second target vehicle can be identified through images with multiple different backgrounds and angles, such as the first image, the second image, and the third image. Even if the first target vehicle and the second target vehicle have the same or similar color to any background, or cannot be identified due to the shooting angle of any image, the first target vehicle and the second target vehicle can still be identified based on images with other different backgrounds and other angles, avoiding the situation where the first target vehicle and the second target vehicle are not identified because their colors are the same as or similar to the background color, thereby improving the accuracy of identifying the first target vehicle and the second target vehicle.

[0270] Moreover, the imaging device can also determine the same image features included in multiple images through images with multiple different backgrounds and angles. The imaging device identifies the first target vehicle and the second target vehicle based on the same image features; in this way, since the image features are included in multiple target images, the accuracy of identifying the first target vehicle and the second target vehicle can be improved through the common image features, avoiding misidentification of the first target vehicle and the second target vehicle.

[0271] The imaging device obtains the target image including at least one of the following implementation manners:

[0272] In a possible implementation manner, the imaging device periodically obtains the target image, and the periodic interval time can be set and changed as needed.

[0273] In another possible implementation manner, the imaging device obtains the target image only when a person is detected. The system may further include a sound sensor electrically connected to the imaging device. After the sound sensor receives the sound of a person, it sends an acquisition instruction to the imaging device, and the imaging device obtains the target image based on the acquisition instruction. The system may further include an infrared sensor electrically connected to the imaging device. After the infrared sensor detects a person, it sends an acquisition instruction to the imaging device, and the imaging device obtains the target image based on the acquisition instruction. In this way, the target image is obtained only when a person is present, avoiding waste of resources caused by obtaining the target image when no one is present.

[0274] Step 402: The imaging device inputs the target image into the vehicle recognition model and outputs a first recognition result and a second recognition result.

[0275] Among them, the first recognition result is whether the object is a first target vehicle that is prohibited from entering the elevator car, and the second recognition result is whether the object is a second target vehicle that is allowed to enter the elevator car. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range. That is, the first target vehicle and the second target vehicle are vehicles that are prone to confusion. In this way, by separately recognizing the first target vehicle and the second target vehicle, the accuracy of preventing the first target vehicle from entering the elevator car can be improved.

[0276] The training process of the vehicle recognition model includes the following steps (1)-(2):

[0277] (1) The imaging device obtains a plurality of first sample images and a plurality of second sample images. The first sample images are labeled with a first label, and the first label indicates whether the first target vehicle is included in the first sample image. The second sample images are labeled with a second label, and the second label indicates whether the second target vehicle is included in the second sample image.

[0278] This step can be implemented through the following steps A1-A2:

[0279] A1: Based on the first target vehicle, the imaging device obtains images of different vehicle models including the first target vehicle as the first positive sample images, and obtains images that do not include the first target vehicle as the first negative sample images. The first positive sample images and the first negative sample images form the first sample images.

[0280] Among them, the images of different vehicle models of the first target vehicle include images of small electric vehicles, medium-sized electric vehicles, large electric vehicles, and electric vehicles with capes, etc.

[0281] In the embodiments of the present application, since the target image includes images of the corridor where the elevator car is located, the entrance of the elevator car, and the interior of the elevator car. Then the training scenarios of the first sample images can be the corridor, the entrance of the elevator car, and the interior of the elevator car, etc.; that is, the first positive sample images are images of the corridor containing the first target vehicle, images of the entrance of the elevator car containing the first target vehicle, and images of the interior of the elevator car containing the first target vehicle, etc. The first negative sample images are images of the corridor that do not include the first target vehicle, images of the entrance of the elevator car that do not include the first target vehicle, and images of the interior of the elevator car that do not include the first target vehicle, etc.

[0282] A2: The imaging device obtains images of different vehicle models including the second target vehicle as the second positive sample images based on the second target vehicle, and obtains images that do not include the second target vehicle as the second negative sample images. The second positive sample images and the second negative sample images together form the second sample images.

[0283] Among them, the images of different vehicle models of the second target vehicle include images of wheelchairs, baby carriages, handcarts, balance bikes, stretchers, bicycles, etc.

[0284] In the embodiments of the present application, since the target images include images of the corridor where the elevator car is located, images of the entrance of the elevator car, and images inside the elevator car. Then the training scenarios of the second sample images can be corridors, elevator car entrances, and inside the elevator car, etc.; that is, the second positive sample images are images of the corridor containing the second target vehicle, images of the entrance of the elevator car containing the second target vehicle, and images inside the elevator car containing the second target vehicle, etc. The second negative sample images are images of the corridor without the second target vehicle, images of the entrance of the elevator car without the second target vehicle, and images inside the elevator car without the second target vehicle, etc.

[0285] In another possible implementation, the process of obtaining multiple second sample images is as follows:

[0286] The imaging device obtains multiple candidate sample images; the imaging device determines the similarity between the objects included in each candidate sample image and the first target vehicle; the imaging device selects multiple second sample images from the multiple candidate sample images whose similarity is within a preset similarity threshold range.

[0287] In this implementation, the multiple second sample images are images including objects whose similarity to the first target vehicle is within a preset similarity threshold range, that is, the objects included in the second sample images are vehicles that are likely to be confused with the first target vehicle. In this way, by training the vehicle recognition model with the second sample images, the vehicle recognition model can effectively identify objects that are likely to be confused with the first target vehicle, and thus can effectively eliminate the interference of objects that are likely to be confused with the first target vehicle.

[0288] (2) The imaging device performs model training based on multiple first sample images and multiple second sample images to obtain a vehicle recognition model.

[0289] Among them, the neural network for model training can be CNN (Convolutional Neural Network), GAN (Generative Adversarial Network), etc. This vehicle recognition model is based on machine vision analysis algorithms, combines edge computing and cloud computing, and performs real-time optimization of the algorithms to continuously improve the accuracy of vehicle recognition; in this way, the cloud algorithm of this vehicle recognition model is dynamically updated, and in the future, it will be able to support the elevator car blocking function in more scenarios.

[0290] In the embodiment of the present application, after the target image is input into the vehicle recognition model, the recognition response is between 0.5 - 3 s; for example, it can be 0.5 s, so that the first recognition result and the second recognition result can be quickly output, improving the recognition efficiency.

[0291] In another possible implementation, the vehicle recognition model includes a first image recognition model and a second image recognition model, and the training process of the first image recognition model and the second image recognition model includes the following steps (1)-(2):

[0292] (1) The camera device acquires a plurality of first sample images and a plurality of second sample images. The first label is marked in the first sample image, and the first label indicates whether the first target vehicle is included in the first sample image. The second label is marked in the second sample image, and the second label indicates whether the second target vehicle is included in the second sample image.

[0293] This step can be implemented through the following steps A1 - A2:

[0294] A1: Based on the first target vehicle, the camera device acquires images of different vehicle models including the first target vehicle as the first positive sample images, and acquires images that do not include the first target vehicle as the first negative sample images. The first positive sample images and the first negative sample images constitute the first sample images.

[0295] A2: Based on the second target vehicle, the camera device acquires images of different vehicle models including the second target vehicle as the second positive sample images, and acquires images that do not include the second target vehicle as the second negative sample images. The second positive sample images and the second negative sample images constitute the second sample images.

[0296] (2) The camera device performs model training based on the plurality of first sample images to obtain the first image recognition model, and performs model training based on the plurality of second sample images to obtain the second image recognition model.

[0297] Step 403: If the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, the camera device controls the elevator car to stop running.

[0298] This step includes at least one of the following two implementation manners:

[0299] (1) The camera device controls the floor keys of the elevator car to fail.

[0300] In the embodiment of the present application, the camera device sends a ladder blocking instruction to the controller, and the controller controls the floor keys of the control panel to fail based on this ladder blocking instruction.

[0301] In this implementation, since the elevator car stops running after the floor button fails, by controlling the floor button to fail to control the elevator car to stop running, the elevator car can be quickly and effectively controlled to stop running.

[0302] (2) The camera device controls the door closing button of the elevator car to fail.

[0303] In an embodiment of the present application, the camera device sends a car blocking instruction to the controller, and the controller controls the floor button of the control panel to fail based on the car blocking instruction.

[0304] In this implementation, since the elevator car stops running after the door closing button fails, by controlling the door closing button to fail to control the elevator car to stop running, the elevator car can be quickly and effectively controlled to stop running.

[0305] In another possible implementation, if the first recognition result is that the object is not the first target vehicle and the second recognition result is that the object is not the second target vehicle, the elevator car is controlled to run normally. In another possible implementation, if the first recognition result is that the object is not the first target vehicle and the second recognition result is that the object is the second target vehicle, the elevator car is controlled to run normally.

[0306] In another possible implementation, if the similarity between the first target vehicle and the second target vehicle is not within the preset similarity threshold range, or the vehicle recognition model outputs an error, and the output first recognition result is that the object is the first target vehicle and the second recognition result is that the object is the second target vehicle, the camera device directly gives an alarm; or, the management personnel confirm the object entering the elevator car.

[0307] For example, the second target vehicle is a bicycle. Usually, the similarity between a bicycle and the first target vehicle is within 30%-80%, that is, the preset similarity threshold range is set to 30%-80%; in a possible implementation, the object in the target image is a bicycle, and the similarity between this bicycle and the first target vehicle is 50%, that is, the similarity between this bicycle and the first target vehicle is within the preset similarity threshold range of 30%-80%, then the vehicle recognition model recognizes this bicycle as the second target vehicle, and the first recognition result output by the vehicle recognition model is that the object is not the first target vehicle and the second recognition result is that the object is the second target vehicle. In another possible implementation, the object in the target image is a bicycle, but the similarity between this bicycle and the first target vehicle is 90%, that is, the similarity between the bicycle and the first target vehicle is not within the preset similarity threshold range of 30%-80%, and the vehicle recognition model will recognize this bicycle as the first target vehicle and the second target vehicle, that is, the first recognition result output by the vehicle recognition model is that the object is the first target vehicle and the second recognition result is that the object is the second target vehicle.

[0308] In the embodiments of the present application, by separately identifying the first target vehicle and the second target vehicle, while the first target vehicle is being identified, the identified second target vehicle can be effectively filtered out, thereby improving the accuracy of identifying the first target vehicle, and the identification accuracy is up to more than 98%.

[0309] In some embodiments, while the camera device controls the elevator car to stop running, the camera device also outputs an alarm message.

[0310] Outputting the alarm message includes at least one of the following five implementation manners:

[0311] (1) The camera device outputs an optical signal for alarm.

[0312] (2) The camera device outputs an audio signal for alarm.

[0313] (3) The camera device plays video information for alarm.

[0314] (4) The camera device sends an alarm message to a first terminal, and the first terminal is a mobile terminal used by the first manager of the elevator car.

[0315] (5) The camera device sends a notification message to a second terminal, and the second terminal is a fixed terminal used by the second manager of the elevator car. The notification message is used to trigger the second manager to output an alarm message through a walkie-talkie; receive the alarm message output by the walkie-talkie.

[0316] In this embodiment, the above five alarm messages can be combined arbitrarily; for example, the camera device outputs an optical signal and an audio signal at the same time; the camera device outputs an optical signal and a video signal at the same time and sends an alarm message to the first terminal; the camera device outputs an optical signal, a video signal, plays video information, sends an alarm message to the first terminal, and sends a notification message to the second terminal simultaneously. In the embodiments of the present application, taking the camera device outputting an optical signal, an audio signal, playing video information, sending an alarm message to the first terminal, and sending a notification message to the second terminal simultaneously as an example for illustration.

[0317] In this embodiment, when the elevator car stops running, an alarm message can be output at the same time. In this way, the linkage between stopping the elevator and alarming is realized. Not only can objects be reminded to exit the elevator after the elevator car stops running, but also the management personnel can timely know that the object entering the elevator car is the first target vehicle that is prohibited from entering the elevator car, and handle this situation, thereby improving the management efficiency.

[0318] It should be noted that when the first recognition result of any of the target images of the first image, the second image, or the third image is that the object is the first target vehicle, and the second recognition result is that the object is not the second target vehicle, the camera device outputs an alarm message.

[0319] In some embodiments, the camera device can also input the target image into the intelligent light sensing module. The intelligent light sensing module is used to identify whether the camera device is illegally blocked. If it is identified that the camera device is illegally blocked, the elevator car is controlled to stop running and an alarm message is output.

[0320] In some embodiments, if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, the camera device obtains the user information of the owner of the object; based on the user information, a punishment operation is performed on the owner.

[0321] Among them, the information of the owner of the object can be obtained from the vehicle feature information of the object. For example, the user information of the owner of the object is obtained based on the license plate information of the object.

[0322] In this embodiment, the punishment operation on the owner includes at least one of the following three implementation methods:

[0323] (1) The camera device performs a punishment operation on the owner based on the user information.

[0324] It should be noted that the punishment operation can be the punishment operation stipulated by the safety management regulations of the relevant department.

[0325] (2) The camera device reduces the credit value of the owner based on the user information.

[0326] Among them, the credit value can be the credit value for the system maintenance of the elevator car blocking system or the credit value for credit investigation. If the credit value is the credit value for the system maintenance of the elevator system, the camera device sends a user credit value modification request to the server of the elevator car blocking system. The modification request carries the user information and the reduction range of the credit value. After receiving the user credit value modification request, the server modifies the locally stored user credit value database; subsequently, the user can be credit evaluated based on this credit value, and rewards and punishments can be given to the user based on the result of the credit evaluation.

[0327] (3) The camera device restricts the owner from entering the target place based on the user information, and the target place is the place where the elevator car is located.

[0328] For example, the camera device can prohibit the owner from carrying an electric vehicle into the target place; or, prohibit the number of times the owner enters and exits the target place, etc.

[0329] Among them, the target venue can be venues such as the community where the elevator car is located, shopping malls, hospitals, etc.

[0330] In the embodiments of the present application, by performing the above-mentioned punishment operations on the owner of the object, the owner is alerted by suffering political or economic losses, so as to reduce or even eliminate the situation of electric vehicles entering the elevator car.

[0331] In some embodiments, if the elevator car is operating normally, the camera device acquires the motion information of the target object in the elevator car; if it is determined based on the motion information that the motion amplitude of the target object is greater than a preset amplitude, then the step of controlling the elevator car to stop operating is executed.

[0332] Among them, the motion information includes motion modes such as standing, sitting, running, and jumping. Among them, motion modes such as running and jumping have large motion amplitudes, which will cause violent shaking of the elevator car, thus bringing certain risks; therefore, the motion amplitudes of motion modes such as running and jumping are set to be greater than the preset amplitude; in this way, when motion modes with motion amplitudes greater than the preset amplitude such as running and jumping are acquired, the car operation can be stopped in time; in this way, the personal safety of the target object and the safe operation of the elevator car are effectively guaranteed.

[0333] In some embodiments, after the camera device controls the elevator car to stop operating, it acquires the multimedia resources for recording the current elevator blocking event; and associates and stores the attribute information of the multimedia resources and the multimedia resources.

[0334] Among them, the multimedia resources include images, audio, videos, etc. The attribute information of the multimedia resources includes the time, location, video recording type, channel name, etc. of the multimedia resources. The video recording type includes types such as motion detection generation and motion detection disappearance; the motion detection generation type is the event type when an object appears within the detection range of the camera device, and the motion detection disappearance type is the event type when an object disappears within the detection range of the camera device. The channel name is the name of the channel for video input of the camera device.

[0335] In this embodiment, acquiring the multimedia resources includes at least one of the following two implementation manners:

[0336] In a possible implementation manner, if the camera device receives a query instruction, based on the target attribute information carried in the query instruction, it acquires the multimedia resources associated with the target attribute information and plays the multimedia resources.

[0337] In another possible implementation manner, the camera device displays a query interface, and the query interface includes the attribute information of at least one stored multimedia resource and a playback control for playing each multimedia resource; if a trigger operation on the playback control of any multimedia resource is received, then any multimedia resource is played.

[0338] In this implementation, the play control may be a play button. If the camera device receives a trigger operation of the play button of any multimedia resource, the multimedia resource is played.

[0339] In another possible implementation, for any multimedia resource, the attribute information of the multimedia resource is arranged in sequence to form a play control for playing the multimedia resource; if a trigger operation on any attribute information of the multimedia resource is received, the multimedia resource is played.

[0340] In the embodiment of the present application, by recording the multimedia resources of the current elevator blocking event, the elevator blocking event can be quickly tracked afterwards, so that the elevator blocking event caused by electric vehicles illegally entering the elevator can be traced with evidence, thereby improving work efficiency.

[0341] Step 404: If the object exits the elevator car, the camera device restores the operating state of the elevator car.

[0342] This step may include at least one of the following implementations:

[0343] (1) The camera device acquires a first target image, which is an image used to identify an object exiting the elevator car. The camera device inputs the first target image into a vehicle recognition model and outputs a first recognition result and a second recognition result. If the first recognition result is that the object is not the first target vehicle, and the second recognition result is that the object is not the second target vehicle or the object is the second target vehicle, the operation state of the elevator car is restored.

[0344] (2) The camera device obtains dynamic video of the object in the elevator car. When the camera device detects that the object exits the elevator car, the operating state of the elevator car is restored.

[0345] In another possible implementation, the camera device receives a release instruction, which is triggered by a central control room of the elevator car; based on the release instruction, the operating state of the elevator car is restored.

[0346] In an embodiment of the present application, the central control room can control the camera equipment to restore the operating state of the elevator car. In this way, when the camera equipment misidentifies an object and controls the elevator car to stop running, the release command can be triggered through the central control room to restore the operating state of the elevator car. In this way, while effectively reducing the number of electric vehicles going upstairs, the alarm can be eliminated remotely, thereby improving management efficiency.

[0347] See also Figure 5 , Figure 5A specific embodiment of an elevator blocking method provided in the present application. After an object enters the elevator car, the camera device identifies that the object is the first target vehicle and not the second target vehicle; the camera device outputs an alarm message and a notification message; the second terminal receives the notification message, outputs a pop-up window alarm and a sound alarm; the second manager obtains multimedia resources for recording the current elevator blocking time, and determines whether it is a false alarm. If the judgment result is not a false alarm, the second manager at the second terminal shouts to drive away. If the judgment result is a false alarm, the central control room triggers a release command, eliminates the alarm, and restores the operating state of the elevator car; or, the camera device eliminates the alarm and restores the operating state of the elevator car.

[0348] In another possible implementation, if the object entering the elevator car does not include the first target vehicle, but the camera device controls the elevator car to stop running and outputs alarm information and notification information, that is, the vehicle recognition model is incorrectly identified, then the user can press the alarm cancellation button in the elevator car to trigger the alarm cancellation instruction to the second terminal, and the second administrator using the second terminal obtains the multimedia resources used to record the current elevator blocking time to determine whether it is a false alarm. If the judgment result is a false alarm, the second administrator triggers the remote alarm cancellation to restore the running state of the elevator car.

[0349] In another possible implementation, the alarm button is locked, and can only be pressed when the user uses the alarm card to approach the card reader in the elevator car, so that the card reader controls the alarm button to be unlocked.

[0350] An embodiment of the present application provides an elevator vehicle blocking method. The method can respectively identify a first target vehicle that is prohibited from entering an elevator car and a second target vehicle that is allowed to enter the elevator car through a vehicle recognition model. Since the second target vehicle is a vehicle that is easily confused with the first target vehicle, the elevator car can be controlled based on the recognition results of the two target vehicles, which can effectively filter out the interference of the second vehicle and improve the accuracy of blocking the first target vehicle from entering the elevator car.

[0351] The present application embodiment provides a method for stopping a car in an elevator. Figure 6 , methods include:

[0352] Step 601: The camera device acquires a target image, where the target image is an image used to identify an object entering an elevator car.

[0353] The implementation process of this step is the same as step 401 and will not be repeated here.

[0354] Step 602: If the object is a vehicle, the camera device acquires vehicle feature information of the vehicle.

[0355] This step includes at least one of the following three implementations:

[0356] In a possible implementation, the imaging device identifies the license plate information of a vehicle from a target image and uses the license plate information as the vehicle feature information.

[0357] In this implementation, the license plate information includes two cases: the vehicle has a license plate and the vehicle has no license plate. For a vehicle with a license plate, the license plate information further includes license plate features such as the shape, size, color, and installation position of the license plate.

[0358] It should be noted that since electric vehicles have license plates, while other types of vehicles such as wheelchairs, baby carriages, handcarts, scooters, stretchers, bicycles, etc. do not have license plates; thus, using the license plate information of the vehicle as the vehicle feature information can effectively distinguish electric vehicles from vehicles other than electric vehicles.

[0359] In another possible implementation, the imaging device identifies the weight information of a vehicle based on a target image and uses the weight information as the vehicle feature information.

[0360] This implementation can be achieved through the following steps (1)-(3):

[0361] (1) The imaging device obtains the sum of the weights of the target object and the vehicle in the target image.

[0362] (2) The imaging device determines the weight information of the target object based on the morphological feature information of the target object.

[0363] Among them, the target object includes at least one person, and the morphological feature information of the target object includes information such as the height and body build of the person. It should be noted that the imaging device stores the corresponding relationship between the morphological feature information and the weight information of the target object. After the imaging device obtains the morphological feature information of the target image, based on the corresponding relationship between the morphological feature information and the weight information, the weight information of the target object is obtained.

[0364] (3) The imaging device determines the weight information of the vehicle by taking the difference between the sum of the weights and the weight information of the target object.

[0365] It should be noted that since electric vehicles contain storage batteries and are much heavier than other types of vehicles such as wheelchairs, baby carriages, handcarts, scooters, stretchers, bicycles, etc.; thus, using the weight information of the vehicle as the vehicle feature information can effectively distinguish electric vehicles from vehicles other than electric vehicles.

[0366] In another possible implementation, the imaging device scans a preset part of the vehicle and uses the scanned electrolyte information as the vehicle feature information.

[0367] It should be noted that since the main component in the storage battery of an electric vehicle is the electrolyte, while other types of vehicles such as wheelchairs, baby carriages, handcarts, segways, stretchers, bicycles, etc. do not have storage batteries; in this way, taking the electrolyte information as the vehicle feature information can effectively distinguish electric vehicles from vehicles other than electric vehicles.

[0368] Step 603: If the vehicle feature information does not match the vehicle feature information of the first target vehicle, the imaging device inputs the target image into the vehicle recognition model and outputs a first recognition result and a second recognition result.

[0369] In another possible implementation, if the vehicle feature information matches the vehicle feature information of the first target vehicle, the imaging device controls the elevator car to stop running.

[0370] If the license plate information is taken as the vehicle feature information, the vehicle feature information of the first target vehicle is the feature of the standard license plate uniformly issued by the relevant department. For example, the features of the green license plates hung on new national standard electric vehicles, the yellow license plates hung on electric motorcycles, and the transitional license plates temporarily hung, etc. If the vehicle has no license plate, the vehicle feature information does not match the vehicle feature information of the first target vehicle; if the vehicle has a license plate, but the license plate feature in the license plate information does not conform to the feature of the standard license plate, the vehicle feature information does not match the vehicle feature information of the first target vehicle. If the vehicle has a license plate and the license plate feature in the license plate information conforms to the feature of the standard license plate, the vehicle feature information matches the vehicle feature information of the first target vehicle. In this way, it can also effectively filter out other license plates different from the standard license plates, such as toy license plates, thus improving the accuracy of matching vehicle feature information.

[0371] If the weight information is taken as the vehicle feature information, the vehicle feature information of the first target vehicle is the set weight threshold, and this weight threshold can be set and changed as needed. If the vehicle weight in the vehicle weight information does not exceed the weight threshold, the vehicle feature information does not match the vehicle feature information of the first target vehicle; if the vehicle weight in the vehicle weight information exceeds the weight threshold, the vehicle feature information matches the vehicle feature information of the first target vehicle.

[0372] If the electrolyte information is taken as the vehicle feature information, the vehicle feature information of the second target vehicle is containing electrolyte. If the vehicle electrolyte information is not containing electrolyte, the vehicle feature information does not match the vehicle feature information of the first target vehicle; if the vehicle electrolyte information is containing electrolyte, the vehicle feature information matches the vehicle feature information of the first target vehicle.

[0373] Step 604: If the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, the imaging device controls the elevator car to stop running.

[0374] The implementation process of this step is the same as that of step 403, which will not be elaborated here.

[0375] Step 605: If the object exits the elevator car, the camera device restores the operating state of the elevator car.

[0376] The implementation process of this step is the same as that of step 404, which will not be elaborated here.

[0377] In the embodiment of the present application, since the first target vehicle is recognized based on the feature information of the vehicle before inputting the target image into the vehicle recognition model for recognition, even if the first target vehicle cannot be recognized based on the feature information of the vehicle, the first target vehicle can still be recognized based on the vehicle recognition model; obviously, this method improves the accuracy of recognizing the first target vehicle through dual recognition, thereby enhancing the accuracy of preventing the first target vehicle from entering, and effectively realizing the prevention of the first target vehicle prohibited from entering the elevator car.

[0378] The embodiment of the present application provides an elevator anti-vehicle device, see Figure 7 , the device includes:

[0379] The first acquisition module 701 is configured to acquire a target image, where the target image is an image for recognizing an object entering the elevator car;

[0380] The input / output module 702 is configured to input the target image into the vehicle recognition model and output a first recognition result and a second recognition result. The first recognition result is whether the object is the first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is the second target vehicle allowed to enter the elevator car. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range;

[0381] The control module 703 is configured to control the elevator car to stop running if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle.

[0382] In a possible implementation manner, the device further includes:

[0383] The second acquisition module is configured to acquire the vehicle feature information of the vehicle if the object is a vehicle;

[0384] The input / output module 702 is configured to input the target image into the vehicle recognition model and output a first recognition result and a second recognition result if the vehicle feature information does not match the vehicle feature information of the first target vehicle.

[0385] In a possible implementation manner, the device further includes:

[0386] The control module 703 is configured to control the elevator car to stop running if the vehicle feature information matches the vehicle feature information of the first target vehicle.

[0387] In a possible implementation, the second acquisition module includes at least one of the following recognition units:

[0388] The first recognition unit is configured to recognize the license plate information of the vehicle from the target image and use the license plate information as the vehicle feature information; or,

[0389] The second recognition unit is configured to recognize the weight information of the vehicle based on the target image and use the weight information as the vehicle feature information; or,

[0390] The third recognition unit is configured to scan a preset part of the vehicle and use the scanned electrolyte information as the vehicle feature information.

[0391] In a possible implementation, the second recognition unit is configured to:

[0392] Obtain the sum of the target object and the vehicle in the target image;

[0393] Determine the weight information of the target object based on the morphological feature information of the target object;

[0394] Determine the difference between the sum of weights and the weight information of the target object as the weight information of the vehicle.

[0395] In a possible implementation, the first acquisition module 701 includes at least one of the following acquisition units:

[0396] The first acquisition unit is configured to acquire a first image, where the first image is an image of the corridor where the elevator car is located;

[0397] The second acquisition unit is configured to acquire a second image, where the second image is an image of the entrance of the elevator car;

[0398] The third acquisition unit is configured to acquire a third image, where the third image is an image inside the elevator car.

[0399] In a possible implementation, if the elevator car is controlled to stop running, the device further includes:

[0400] The first output module is configured to output an optical signal for alarming;

[0401] The second output module is configured to output an audio signal for alarming;

[0402] The first playback module is configured to play video information for alarming;

[0403] A first sending module, configured to send an alarm message to a first terminal, where the first terminal is a mobile terminal used by a first manager of an elevator car;

[0404] A second sending module, configured to send a notification message to a second terminal, where the second terminal is a fixed terminal used by a second manager of the elevator car, and the notification message is used to trigger the second manager to output an alarm message through an intercom; receive the alarm message output by the intercom.

[0405] In a possible implementation manner, the control module 703 includes at least one of the following control units:

[0406] A first control unit, configured to control the floor keys of the elevator car to fail; or,

[0407] A second control unit, configured to control the door closing keys of the elevator car to fail.

[0408] In a possible implementation manner, the device further includes:

[0409] A third obtaining module, configured to obtain a plurality of first sample images and a plurality of second sample images, where a first label is marked in the first sample images, and the first label indicates whether a first target vehicle is included in the first sample images, and a second label is marked in the second sample images, and the second label indicates whether a second target vehicle is included in the second sample images;

[0410] A training module, configured to perform model training based on the plurality of first sample images and the plurality of second sample images to obtain a vehicle recognition model.

[0411] In a possible implementation manner, the third obtaining module includes:

[0412] A fourth obtaining unit, configured to obtain, based on the first target vehicle, images of different vehicle models including the first target vehicle as first positive sample images, and obtain images not including the first target vehicle as first negative sample images, where the first positive sample images and the first negative sample images form the first sample images;

[0413] A fifth obtaining unit, configured to obtain, based on the second target vehicle, images of different vehicle models including the second target vehicle as second positive sample images, and obtain images not including the second target vehicle as second negative sample images, where the second positive sample images and the second negative sample images form the second sample images.

[0414] In a possible implementation manner, the third obtaining module is configured to:

[0415] Obtain a plurality of candidate sample images;

[0416] Determine the similarity between the object included in each candidate sample image and the first target vehicle;

[0417] A plurality of second sample images whose similarities are within a preset similarity threshold range are selected from the plurality of candidate sample images.

[0418] In a possible implementation, the device further includes:

[0419] The first recovery module is used to restore the operating state of the elevator car if the object exits the elevator car.

[0420] In a possible implementation, if the first recognition result is that the object is a first target vehicle, and the second recognition result is that the object is not a second target vehicle, the device further includes:

[0421] A fourth acquisition module, used to acquire user information of the owner of the object;

[0422] The punishment module is used to punish the owner based on user information.

[0423] In a possible implementation, the punishment module includes at least one of the following units:

[0424] A penalty unit, used to perform a penalty operation on the owner based on the user information; or,

[0425] a credit value reducing unit, used to reduce the credit value of the owner based on the user information; or,

[0426] The restriction unit is used to restrict the owner from entering a target place based on the user information, and the target place is a place where the elevator car is located.

[0427] In a possible implementation, the device further includes:

[0428] A fifth acquisition module, used to acquire motion information of a target object in the elevator car;

[0429] The control module 703 is used to control the elevator car to stop running if it is determined based on the motion information that the motion amplitude of the target object is greater than a preset amplitude.

[0430] In a possible implementation, the device further includes:

[0431] A receiving module, used to receive a release command, where the release command is triggered by a central control room of the elevator car;

[0432] The second recovery module is used to recover the running state of the elevator car based on the release instruction.

[0433] In a possible implementation, the device further includes:

[0434] A sixth acquisition module, used to acquire multimedia resources for recording the current elevator blocking event after controlling the elevator car to stop running;

[0435] An association module, configured to associate and store the attribute information of the multimedia resource and the multimedia resource.

[0436] In a possible implementation manner, the apparatus further includes:

[0437] A seventh acquisition module, configured to, if a query instruction is received, acquire the multimedia resource associated with the target attribute information based on the target attribute information carried in the query instruction, and play the multimedia resource; or,

[0438] A display module, configured to display a query interface, where the query interface includes the attribute information of at least one stored multimedia resource and a play control for playing each multimedia resource; if a trigger operation on the play control of any multimedia resource is received, play any multimedia resource.

[0439] Figure 8 FIG. shows a block diagram of a camera device 800 provided by an exemplary embodiment of the present application. The camera device 800 may be a spherical camera, a hemispherical camera, a bullet camera, etc.

[0440] Generally, the camera device 800 includes a processor 801 and a memory 802.

[0441] The processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 801 may be implemented in at least one of the following hardware forms: DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor 801 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the wake state, also known as the CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 801 may be integrated with a GPU (Graphics Processing Unit), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 801 may further include an AI (Artificial Intelligence) processor, and the AI processor is used to process computational operations related to machine learning.

[0442] The memory 802 may include one or more computer-readable storage media, which may be non-transitory. The memory 802 may also include high-speed random access memory and non-volatile memory, such as one or more magnetic disk storage devices and flash storage devices. In some embodiments, the non-transitory computer-readable storage media in the memory 802 is used to store at least one instruction for being executed by the processor 801 to implement the elevator car blocking method provided in the method embodiments of the present application.

[0443] In some embodiments, the imaging device 800 may further optionally include: a peripheral device interface 803 and at least one peripheral device. The processor 801, the memory 802, and the peripheral device interface 803 may be connected by a bus or signal lines. Each peripheral device may be connected to the peripheral device interface 803 through a bus, signal lines, or a circuit board. Specifically, the peripheral device includes at least one of a radio frequency circuit 804, a display screen 805, a camera assembly 806, an audio circuit 807, a positioning assembly 808, and a power supply 809.

[0444] The peripheral device interface 803 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 801 and the memory 802. In some embodiments, the processor 801, the memory 802, and the peripheral device interface 803 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 801, the memory 802, and the peripheral device interface 803 may be implemented on a separate chip or circuit board, and this embodiment does not limit this.

[0445] The radio frequency circuit 804 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 804 communicates with a communication network and other communication devices through electromagnetic signals. The radio frequency circuit 804 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 804 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and the like. The radio frequency circuit 804 may communicate with other imaging devices through at least one wireless communication protocol. The wireless communication protocol includes but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G, and 5G), a wireless local area network, and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 804 may further include a circuit related to NFC (Near Field Communication), and this application does not limit this.

[0446] The display screen 805 is used to display the UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 805 is a touch display screen, the display screen 805 also has the ability to collect touch signals on or above the surface of the display screen 805. The touch signals can be input to the processor 801 as control signals for processing. At this time, the display screen 805 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 805, which is disposed on the front panel of the imaging device 800; in other embodiments, there may be at least two display screens 805, which are respectively disposed on different surfaces of the imaging device 800 or are in a folding design; in other embodiments, the display screen 805 may be a flexible display screen, which is disposed on a curved surface or a folding surface of the imaging device 800. Even more, the display screen 805 can also be set to an irregular non-rectangular shape, that is, a special-shaped screen. The display screen 805 can be prepared from materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0447] The camera module 806 is used to collect images or videos. Optionally, the camera module 806 includes a front camera and a rear camera. Generally, the front camera is disposed on the front panel of the imaging device, and the rear camera is disposed on the back of the imaging device. In some embodiments, there are at least two rear cameras, which are respectively any one of a main camera, a depth-of-field camera, a wide-angle camera, and a telephoto camera, so as to implement the function of background blurring by fusing the main camera and the depth-of-field camera, the function of panoramic shooting by fusing the main camera and the wide-angle camera, and the VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments, the camera module 806 may further include a flash. The flash can be a single-color-temperature flash or a two-color-temperature flash. The two-color-temperature flash refers to the combination of a warm-light flash and a cold-light flash, and can be used for light compensation under different color temperatures.

[0448] The audio circuit 807 may include a microphone and a speaker. The microphone is used to collect sound waves of the user and the environment, and convert the sound waves into electrical signals for input to the processor 801 for processing, or input to the radio frequency circuit 804 to achieve voice communication. For the purpose of stereo collection or noise reduction, there may be multiple microphones, which are respectively arranged at different parts of the imaging device 800. The microphone may also be an array microphone or an omnidirectional collection microphone. The speaker is used to convert the electrical signal from the processor 801 or the radio frequency circuit 804 into sound waves. The speaker may be a traditional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into audible sound waves for humans, but also convert the electrical signal into inaudible sound waves for humans for uses such as ranging. In some embodiments, the audio circuit 807 may also include a headphone jack.

[0449] The positioning component 808 is used to locate the current geographical location of the imaging device 800 to achieve navigation or LBS (Location Based Service). The positioning component 808 may be a positioning component based on the US GPS (Global Positioning System), China's Beidou system or Russia's Galileo system.

[0450] The power supply 809 is used to supply power to each component in the imaging device 800. The power supply 809 may be alternating current, direct current, a disposable battery or a rechargeable battery. When the power supply 809 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery charged through a wired line, and a wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0451] In some embodiments, the imaging device 800 further includes one or more sensors 810. The one or more sensors 810 include but are not limited to: an acceleration sensor 811, a gyroscope sensor 812, a pressure sensor 813, a fingerprint sensor 814, an optical sensor 815, and a proximity sensor 816.

[0452] The acceleration sensor 811 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established with the imaging device 800. For example, the acceleration sensor 811 can be used to detect the components of the gravitational acceleration on the three coordinate axes. The processor 801 can control the display screen 805 to display the user interface in a horizontal view or a vertical view according to the gravitational acceleration signal collected by the acceleration sensor 811. The acceleration sensor 811 can also be used for games or the collection of the user's motion data.

[0453] The gyroscope sensor 812 can detect the body direction and rotation angle of the imaging device 800. The gyroscope sensor 812 can cooperate with the acceleration sensor 811 to collect the 3D actions of the user on the imaging device 800. Based on the data collected by the gyroscope sensor 812, the processor 801 can implement the following functions: motion sensing (such as changing the UI according to the user's tilting operation), image stabilization during shooting, game control, and inertial navigation.

[0454] The pressure sensor 813 can be disposed on the side frame of the imaging device 800 and / or the lower layer of the display screen 805. When the pressure sensor 813 is disposed on the side frame of the imaging device 800, it can detect the holding signal of the user on the imaging device 800, and the processor 801 can perform left / right hand recognition or shortcut operations based on the holding signal collected by the pressure sensor 813. When the pressure sensor 813 is disposed on the lower layer of the display screen 805, the processor 801 can control the operable controls on the UI interface according to the pressure operation of the user on the display screen 805. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0455] The fingerprint sensor 814 is used to collect the fingerprints of the user. The processor 801 can identify the user's identity based on the fingerprints collected by the fingerprint sensor 814, or the fingerprint sensor 814 can identify the user's identity based on the collected fingerprints. When the identified user identity is a trusted identity, the processor 801 authorizes the user to perform relevant sensitive operations, and the sensitive operations include unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings, etc. The fingerprint sensor 814 can be disposed on the front, back, or side of the imaging device 800. When there are physical buttons or manufacturer Logos on the imaging device 800, the fingerprint sensor 814 can be integrated with the physical buttons or manufacturer Logos.

[0456] The optical sensor 815 is used to collect the ambient light intensity. In one embodiment, the processor 801 can control the display brightness of the display screen 805 according to the ambient light intensity collected by the optical sensor 815. Specifically, when the ambient light intensity is high, the display brightness of the display screen 805 is increased; when the ambient light intensity is low, the display brightness of the display screen 805 is decreased. In another embodiment, the processor 801 can also dynamically adjust the shooting parameters of the camera module 806 according to the ambient light intensity collected by the optical sensor 815.

[0457] The proximity sensor 816, also known as the distance sensor, is usually disposed on the front panel of the imaging device 800. The proximity sensor 816 is used to collect the distance between the user and the front of the imaging device 800. In one embodiment, when the proximity sensor 816 detects that the distance between the user and the front of the imaging device 800 is gradually decreasing, the processor 801 controls the display screen 805 to switch from the lit state to the off state; when the proximity sensor 816 detects that the distance between the user and the front of the imaging device 800 is gradually increasing, the processor 801 controls the display screen 805 to switch from the off state to the lit state.

[0458] Those skilled in the art can understand that Figure 8 the structure shown in does not constitute a limitation on the imaging device 800, and may include more or fewer components than shown, or combine certain components, or adopt different component arrangements.

[0459] The embodiments of the present application provide a computer program product or a computer program. The computer program product or the computer program includes computer program code, and the computer program code is stored in a computer-readable storage medium. The processor of the imaging device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, so that the imaging device performs the operations performed by the above-mentioned elevator car blocking recognition method.

[0460] In some embodiments, the computer program involved in the embodiments of the present application can be deployed to be executed on one imaging device, or on multiple imaging devices located at one location, or on multiple imaging devices distributed at multiple locations and interconnected through a communication network. The multiple imaging devices distributed at multiple locations and interconnected through a communication network can form a blockchain system.

[0461] The embodiments of the present application provide an elevator car blocking method. This method uses a vehicle recognition model to respectively identify a first target vehicle prohibited from entering the elevator car and a second target vehicle allowed to enter the elevator car. Since the second target vehicle is a vehicle that is likely to be confused with the first target vehicle, in this way, the vehicle recognition model can not only effectively identify the first target vehicle, but also effectively filter out the identified second target vehicle, thereby enhancing the accuracy of blocking the entry of the first target vehicle and effectively realizing the blocking of the first target vehicle prohibited from entering the elevator car.

[0462] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An elevator car blocking method, characterized in that, Applied to a camera device, the method includes: Obtain a target image, which is an image for identifying an object entering an elevator car. The target image includes a first image of the corridor where the elevator car is located, a second image of the entrance of the elevator car, and a third image inside the elevator car; If the object is a vehicle, obtain vehicle feature information of the vehicle. The vehicle feature information includes at least one of weight information and electrolyte information of the vehicle. The weight information is the difference between the sum of the weights of the target object and the vehicle in the target image and the weight information of the target object. The weight information of the target object is determined according to the corresponding relationship between the morphological feature information and the weight information of the stored target object. The electrolyte information is obtained by scanning a preset part of the vehicle; If the vehicle feature information matches the vehicle feature information of a first target vehicle, control the elevator car to stop running; if the vehicle feature information does not match the vehicle feature information of the first target vehicle, input the target image into a vehicle recognition model to output a first recognition result and a second recognition result. The first recognition result is determined based on a first image recognition model in the vehicle recognition model, and the second recognition result is determined based on a second image recognition model in the vehicle recognition model. The first recognition result is whether the object is the first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is the second target vehicle allowed to enter the elevator car. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range. The preset similarity threshold range enables the second target vehicle to be recognized as a vehicle that is likely to be confused with the first target vehicle and does not recognize the second target vehicle as the first target vehicle; If the first recognition result is that the object is not the first target vehicle and the second recognition result is that the object is the second target vehicle, control the elevator car to run normally; if the first recognition result is that the object is not the first target vehicle and the second recognition result is that the object is not the first target vehicle, control the elevator car to run normally; if the similarity between the first target vehicle and the second target vehicle is not within the preset similarity threshold range, or the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is the second target vehicle, an alarm is issued; If the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, control the elevator car to stop running; After controlling the elevator car to stop running, obtain multimedia resources for recording the current elevator blocking event; associate and store the attribute information of the multimedia resources and the multimedia resources; the attribute information of the multimedia resources includes the time, location, video type, and channel name of the multimedia resources, the video type includes a motion detection generation type and a motion detection disappearance type, the motion detection generation type is an event type in which an object appears within the detection range of the camera device, the motion detection disappearance type is an event type in which an object disappears within the detection range of the camera device, and the channel name is the name of the channel for video input of the camera device; In response to receiving an alarm cancellation instruction, forward the alarm cancellation instruction to a second terminal, so that a second manager of the second terminal can obtain multimedia resources for recording the current elevator blocking event and determine whether it is a false alarm. If the determination result is a false alarm, trigger a cancellation instruction. The alarm cancellation instruction is generated based on a trigger operation on an alarm cancellation button in the elevator car; Based on the cancellation instruction, restore the operating state of the elevator car.

2. The elevator car blocking method according to claim 1, wherein, The obtaining of the vehicle feature information of the vehicle further includes: Identify the license plate information of the vehicle from the target image, and use the license plate information as the vehicle feature information.

3. The elevator car blocking method according to claim 1, wherein, If the elevator car is controlled to stop running, the method further includes at least one of the following implementation manners: Output an optical signal for alarming; Output an audio signal for alarming; Play video information for alarming; Send an alarm message to a first terminal, where the first terminal is a mobile terminal used by a first manager of the elevator car; Send a notification message to the second terminal, where the second terminal is a fixed terminal used by a second manager of the elevator car, and the notification message is used to trigger the second manager to output an alarm message through a walkie-talkie; Receive the alarm message output by the walkie-talkie.

4. The elevator car blocking method according to claim 1, wherein, The training process of the vehicle recognition model includes: Obtain a plurality of first sample images and a plurality of second sample images. The first sample images are labeled with a first label, and the first label is whether the first target vehicle is included in the first sample image. The second sample images are labeled with a second label, and the second label is whether the second target vehicle is included in the second sample image; Based on the plurality of first sample images and the plurality of second sample images, perform model training to obtain the vehicle recognition model.

5. The elevator car blocking method according to claim 4, wherein, The obtaining of the plurality of first sample images and the plurality of second sample images includes: Based on the first target vehicle, obtain images of different vehicle models including the first target vehicle as first positive sample images, and obtain images that do not include the first target vehicle as first negative sample images. The first positive sample images and the first negative sample images form the first sample images; Based on the second target vehicle, obtain images of different vehicle models including the second target vehicle as second positive sample images, and obtain images that do not include the second target vehicle as second negative sample images. The second positive sample images and the second negative sample images constitute the second sample images.

6. The elevator car blocking method according to claim 4, characterized in that, The process of obtaining multiple second sample images is as follows: Obtain multiple candidate sample images; Determine the similarity between the object included in each candidate sample image and the first target vehicle; Select multiple second sample images from the multiple candidate sample images whose similarity is within the preset similarity threshold range.

7. The elevator car blocking method according to claim 1, wherein If the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is not the second target vehicle, the method further includes: Obtain the user information of the owner of the object; Based on the user information, perform a punishment operation on the owner.

8. An elevator car blocking device, characterized in that, Applied to a camera device, the device includes: A first acquisition module for acquiring a target image, where the target image is an image for identifying an object entering an elevator car, and the target image includes a first image of the corridor where the elevator car is located, a second image of the entrance of the elevator car, and a third image inside the elevator car; A second acquisition module for, if the object is a vehicle, acquiring vehicle feature information of the vehicle, where the vehicle feature information includes at least one of the weight information and electrolyte information of the vehicle. The weight information is the difference between the sum of the weights of the target object and the vehicle in the target image and the weight information of the target object, and the weight information of the target object is determined according to the corresponding relationship between the morphological feature information and weight information of the stored target object. The electrolyte information is obtained by scanning a preset part of the vehicle; A control module for, if the vehicle feature information matches the vehicle feature information of the first target vehicle, controlling the elevator car to stop running; An input / output module for, if the vehicle feature information does not match the vehicle feature information of the first target vehicle, inputting the target image into a vehicle recognition model and outputting a first recognition result and a second recognition result. The first recognition result is determined based on the first image recognition model in the vehicle recognition model, and the second recognition result is determined based on the second image recognition model in the vehicle recognition model. The first recognition result is whether the object is the first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is the second target vehicle allowed to enter the elevator car. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range, and the preset similarity threshold range enables the second target vehicle to be recognized as a vehicle that is easily confused with the first target vehicle and prevents the second target vehicle from being recognized as the first target vehicle; The control module is further configured to, if the first recognition result is that the object is not the first target vehicle, and the second recognition result is that the object is the second target vehicle, control the elevator car to operate normally; if the first recognition result is that the object is not the first target vehicle, and the second recognition result is that the object is not the first target vehicle, control the elevator car to operate normally; if the similarity between the first target vehicle and the second target vehicle is not within the preset similarity threshold range, or if the first recognition result is that the object is the first target vehicle and the second recognition result is that the object is the second target vehicle, issue an alarm; if the first recognition result is that the object is the first target vehicle, and the second recognition result is that the object is not the second target vehicle, control the elevator car to stop operating; A sixth acquisition module, used for acquiring multimedia resources for recording the current elevator blocking event after controlling the elevator car to stop running; an association module, for associating and storing the attribute information of the multimedia resource with the multimedia resource; the attribute information of the multimedia resource includes the time, location, recording type and channel name of the multimedia resource, the recording type includes a motion detection generation type and a motion detection disappearance type, the motion detection generation type is an event type in which an object appears within the detection range of the camera device, the motion detection disappearance type is an event type in which an object disappears within the detection range of the camera device, and the channel name is the name of the channel for the camera device to input video; A module for executing the following steps: in response to receiving an alarm cancellation instruction, forwarding the alarm cancellation instruction to a second terminal so that a second administrator of the second terminal obtains multimedia resources for recording the current elevator blocking event, determines whether it is a false alarm, and triggers a release instruction if the judgment result is a false alarm, wherein the alarm cancellation instruction is generated based on the triggering operation of the alarm cancellation button in the elevator car; based on the release instruction, restoring the operating state of the elevator car.

9. A camera device, characterized in that, The camera device includes one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to implement the operations performed by the elevator blocking method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, At least one program code is stored in the storage medium, and the at least one program code is loaded and executed by the processor to implement the operations performed by the elevator car blocking method according to any one of claims 1 to 7.

11. An elevator car blocking system, characterized in that, The system comprises: a camera device and a controller; The controller is electrically connected to the camera device; The camera device is used to capture a target image, which is an image for identifying an object entering the controlled elevator car. The target image includes a first image of the corridor where the elevator car is located, a second image of the entrance of the elevator car, and a third image inside the elevator car. If the object is a vehicle, vehicle feature information of the vehicle is obtained. The vehicle feature information includes at least one of weight information and electrolyte information of the vehicle. The weight information is the difference between the sum of the weights of the target object and the vehicle in the target image and the weight information of the target object. The weight information of the target object is determined according to the corresponding relationship between the morphological feature information and the weight information of the stored target object. The electrolyte information is obtained by scanning a preset part of the vehicle. If the vehicle feature information matches the vehicle feature information of the first target vehicle, the operation of the elevator car is controlled to stop. If the vehicle feature information does not match the vehicle feature information of the first target vehicle, the target image is input into a vehicle recognition model to output a first recognition result and a second recognition result. The first recognition result is determined based on the first image recognition model in the vehicle recognition model, and the second recognition result is determined based on the second image recognition model in the vehicle recognition model. The first recognition result is whether the object is the first target vehicle prohibited from entering the elevator car, and the second recognition result is whether the object is the second target vehicle allowed to enter the elevator car. The similarity between the second target vehicle and the first target vehicle is within a preset similarity threshold range. The preset similarity threshold range enables the second target vehicle to be recognized as a vehicle that is likely to be confused with the first target vehicle and prevents the second target vehicle from being recognized as the first target vehicle. The camera device is further configured to, if the first recognition result indicates that the object is not the first target vehicle and the second recognition result indicates that the object is the second target vehicle, control the elevator car to operate normally. If the first recognition result indicates that the object is not the first target vehicle and the second recognition result indicates that the object is not the first target vehicle, control the elevator car to operate normally. If the similarity between the first target vehicle and the second target vehicle is not within the preset similarity threshold range, or if the first recognition result indicates that the object is the first target vehicle and the second recognition result indicates that the object is the second target vehicle, an alarm is triggered. If the first recognition result indicates that the object is the first target vehicle and the second recognition result indicates that the object is not the second target vehicle, a ladder blocking instruction is sent to the controller. The controller is configured to control the elevator car to stop operating based on the ladder blocking instruction. The camera device is also used to control the elevator car to stop running, and then obtain multimedia resources for recording the current elevator blocking event; associate and store the attribute information of the multimedia resources with the multimedia resources; the attribute information of the multimedia resources includes the time, location, recording type and channel name of the multimedia resources, and the recording type includes a motion detection generation type and a motion detection disappearance type, the motion detection generation type is an event type in which an object appears within the detection range of the camera device, the motion detection disappearance type is an event type in which an object disappears within the detection range of the camera device, and the channel name is the name of the channel for video input of the camera device; in response to receiving an alarm cancellation instruction, forwarding the alarm cancellation instruction to a second terminal, so that a second administrator of the second terminal obtains the multimedia resources for recording the current elevator blocking event, determines whether it is a false alarm, and if the determination result is a false alarm, triggers a release instruction, and the alarm cancellation instruction is generated according to the triggering operation of the alarm cancellation button in the elevator car; based on the release instruction, the operation state of the elevator car is restored.

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