Target object detection method and device, electronic device and storage medium

By installing the bottom image detector of the car on the car, the target objects in the bottom space of the vehicle are detected in real time, and the audio audio is played when the target object is detected, solving the problem that it is difficult to detect the target object in the bottom space of the vehicle in real time in the existing technology. It improved the accuracy and timelyness of testing, and avoided the risk of accidents.

CN119360009AInactive Publication Date: 2025-01-24ZHEJIANG DAHUA TECH CO LTD
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Patent Information

Application Number
CN202411944752.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-01-24
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing technology is difficult to detect target objects in the vehicle bottom space in real time, resulting in insufficient early warning and detection before the accident. The existing measures are inefficient and costly, and lack effective detection solutions.

Method used

By installing the bottom image detector of the car on the car, obtain the video image of the bottom space of the vehicle, perform image detection and determine whether there are target objects. When detecting the target object, send a warning broadcast instruction to the alarm audio playback module, and play the audio audio.

Benefits of technology

The real -time detection of target objects in the bottom of the vehicle was realized, the accuracy and timelyness of the detection were improved, the risk of accidents was effectively avoided, and the consumption of manpower, material and financial resources was reduced.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a target object detection method and device, an electronic device, a storage medium and a car stop used for target object detection. The target object detection method comprises the following steps: acquiring a first to-be-detected video image corresponding to a vehicle bottom space acquired by a vehicle bottom image detector, performing image detection on the first to-be-detected video image, and judging whether a first target object is detected in the first to-be-detected video image, and when it is detected that the first target object exists in the first to-be-detected video image, an alarm broadcast instruction is sent to an alarm audio playing module, and the alarm audio playing module plays an alarm audio in response to the alarm broadcast instruction. According to the invention, the problem of how to detect the target object in the bottom space of the vehicle in real time is solved, the target detection accuracy and timeliness are improved, and the accident risk is effectively avoided.
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Description

Technical Field

[0001] The present application relates to the field of image detection, and in particular to a target object detection method, device, electronic device and storage medium, as well as a vehicle stop for target object detection. Background Art

[0002] With the increase in the number of vehicles, vehicle-related safety issues are becoming increasingly prominent. For example, in public parking lots, children and small animals are short and have a weak sense of safety. They are likely to hide behind or under the car, which is also in the driver's blind spot. When the vehicle needs to be started, if the driver ignores the surrounding inspection, it may cause safety problems such as hitting children or small animals. Therefore, it is necessary to monitor children and small animals in parking lots, especially under vehicles.

[0003] However, for the above-mentioned safety issues, the main measures currently in place are to set up safety warning signs in public parking lots and arrange security personnel to conduct manual inspections, etc., which lack early warning and detection before accidents occur. Moreover, the current measures require huge manpower, material and financial resources, are inefficient, have time gaps, and lack advance warning.

[0004] Currently, no effective solution has been proposed for the problem of how to detect target objects in the bottom space of a vehicle in real time in related technologies. Summary of the invention

[0005] The embodiments of the present application provide a target object detection method, device, electronic device and storage medium, as well as a vehicle stop for target object detection, so as to at least solve the problem of how to detect target objects in the bottom space of a vehicle in real time in the related art.

[0006] In a first aspect, an embodiment of the present application provides a method for detecting a target object.

[0007] In some embodiments, the target object detection method includes: Acquire a first video image to be detected corresponding to the space under the vehicle collected by an under-vehicle image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected, wherein the under-vehicle image detector is installed on the vehicle guard; When the first target object is detected in the first video image to be detected, sending an alarm broadcast instruction to the alarm audio playback module; In response to the alarm broadcast instruction, the alarm audio playing module plays the alarm audio.

[0008] In some embodiments, the step of acquiring a first video image to be detected corresponding to the bottom space of the vehicle acquired by the under-vehicle image detector, performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected includes: Acquire an initial video image to be detected in the target area, and perform image detection on the initial video image to be detected; When the second target object is detected in the initial video image to be detected, a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector is obtained; Performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected.

[0009] In some embodiments, the step of acquiring a first video image to be detected corresponding to the bottom space of the vehicle acquired by the under-vehicle image detector, performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected includes: Detecting and acquiring a target heat value of a target area, and when the target heat value is greater than a preset heat threshold, acquiring a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector; Performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected.

[0010] In some embodiments, after the alarm audio playing module plays the alarm audio in response to the alarm broadcast instruction, the following further comprises: updating the first video image to be detected in real time to obtain a second video image to be detected, and performing image detection on the second video image to be detected; Determine the start time of the alarm audio playing module playing the alarm audio as the first time; When it is detected that the first target object does not exist in the second video image to be detected within a preset time period after the first moment, the alarm audio playing module stops playing the alarm audio.

[0011] In some embodiments, after determining that the start time of the alarm audio playing module playing the alarm audio is the first time, the method further includes: Determine a second moment, where the second moment is a moment corresponding to a time after the preset time period has passed since the first moment; When it is detected at the second moment that the first target object exists in the second video image to be detected, danger warning information is determined and sent to the client device.

[0012] In some embodiments, the target object detection method further includes: Acquire regional location information of a target area, and send the regional location information to the client device; The client device displays user interaction information according to the area location information and the danger warning information.

[0013] In a second aspect, an embodiment of the present application provides a target object detection device.

[0014] In some embodiments, the target object detection device includes a target object detection module, an alarm instruction sending module and an alarm audio playing module: The target object detection module is used to obtain a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected, wherein the bottom image detector is installed on the vehicle guard; The alarm instruction sending module is used to send an alarm broadcast instruction to the alarm audio playing module when the first target object is detected in the first video image to be detected; The alarm audio playing module is used to respond to the alarm broadcast instruction and play the alarm audio.

[0015] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the target object detection method as described in the first aspect above is implemented.

[0016] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the target object detection method as described in the first aspect above.

[0017] In a fifth aspect, an embodiment of the present application provides a vehicle stop for target object detection.

[0018] In some embodiments, the vehicle barrier includes a vehicle bottom image detector, a command transmitter and an alarm speaker: The vehicle bottom image detector, the command transmitter and the alarm speaker are installed on the vehicle guard; The vehicle bottom image detector is used to obtain a first video image to be detected corresponding to the space under the vehicle, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected; The instruction transmitter is used to send an alarm broadcast instruction to the alarm speaker when the first target object is detected in the first video image to be detected; The alarm speaker is used to respond to the alarm broadcast instruction and play the alarm audio.

[0019] Compared with the related art, the target object detection method, device, electronic device and storage medium, as well as a vehicle stop for target object detection provided in the embodiments of the present application, obtain a first video image to be detected corresponding to the bottom space of the vehicle collected by the under-vehicle image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected; when the first target object is detected in the first video image to be detected, send an alarm broadcast command to the alarm audio playback module; in response to the alarm broadcast command, the alarm audio playback module plays the alarm audio, which solves the problem of how to detect the target object in the bottom space of the vehicle in real time, improves the accuracy and timeliness of target detection, and effectively avoids the risk of accidents.

[0020] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 is a hardware structure block diagram of a terminal according to a target object detection method according to an embodiment of the present application; Figure 2 is a flow chart of a target object detection method according to an embodiment of the present application; Figure 3 is a flow chart of another target object detection method according to an embodiment of the present application; Figure 4 is a flow chart of a target object detection method according to a preferred embodiment of the present application; Figure 5 is a structural block diagram of a target object detection device according to an embodiment of the present application; Figure 6 is a schematic diagram of a vehicle block for target object detection according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application. In addition, it can also be understood that although the efforts made in this development process may be complex and lengthy, for ordinary technicians in the field related to the contents disclosed in the present application, some changes such as design, manufacturing or production based on the technical contents disclosed in the present application are only conventional technical means, and should not be understood as insufficient contents disclosed in the present application.

[0023] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0024] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantity limitation, and may indicate the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application means greater than or equal to two. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The terms "first", "second", "third" and the like involved in the present application are merely used to distinguish similar objects and do not represent a specific ordering of the objects.

[0025] The method embodiment provided in this embodiment can be executed in a terminal, a computer or a similar computing device. Taking running on a terminal as an example, Figure 1 FIG. 1 is a hardware structure diagram of a terminal of a target object detection method according to an embodiment of the present invention. Figure 1 As shown, the terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0026] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the target object detection method in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0027] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0028] The present application provides a method for detecting a target object. Figure 2 is a flow chart of a target object detection method according to an embodiment of the present application. Figure 2 As shown, the process includes the following steps: Step S201, obtaining a first video image to be detected corresponding to the bottom space of the vehicle collected by an under-vehicle image detector, performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected, wherein the under-vehicle image detector is installed on the vehicle stop.

[0029] An under-vehicle image detector that can monitor the space below the vehicle is installed. The under-vehicle image detector can be a camera device capable of target recognition, etc. It can be installed on the rear vehicle guardrail corresponding to the parking area, and is used to horizontally shoot the space below the vehicle. The under-vehicle image detector collects scene videos corresponding to the space below the vehicle, and obtains the first video image to be detected therein. The first video image to be detected can be an optical image or an infrared image. Real-time image detection is performed on the first video image to be detected, and it is determined whether a first target object is detected in the first video image to be detected. The first target object can be a child and / or an animal, etc.

[0030] Step S202: When it is detected that a first target object exists in a first video image to be detected, an alarm broadcast instruction is sent to an alarm audio playback module.

[0031] The embodiment of the present application also includes an alarm audio playback module for playing audio, which can be a speaker. When an animal and / or a child is detected in the bottom space of the vehicle, an alarm broadcast instruction is generated and sent to the alarm audio playback module.

[0032] Step S203: In response to the alarm broadcast instruction, the alarm audio playing module plays the alarm audio.

[0033] The alarm audio playback module receives the alarm broadcast command and responds. At the same time, according to the alarm broadcast command content, the module plays the alarm audio, such as a loudspeaker emitting an alarm beep, etc., to remind the driver and other personnel that there is danger under the vehicle and further inspection and processing is required.

[0034] Through the above steps, the embodiment of the present application proposes a method for real-time detection of whether there is a target object under the vehicle, by obtaining the first video image to be detected corresponding to the space under the vehicle collected by the under-vehicle image detector, performing image detection on the first video image to be detected, and judging whether the first target object such as children and / or animals is detected in the first video image to be detected. When the first target object is detected in the first video image to be detected, it indicates that there are children and / or animals under the vehicle, and an accident will occur when the vehicle is started at this time, so an alarm broadcast instruction is sent to the alarm audio playback module; in response to the alarm broadcast instruction, the alarm audio playback module plays the alarm audio to promptly prompt the owner and other personnel to check, so as to remind the target object to leave in time, and the under-vehicle image detector is installed on the parking space and the vehicle barrier, so as to capture real-time video images of the parking area and the space under the vehicle in a more timely manner, thereby solving the problem of how to detect the target object in the space under the vehicle in real time, improving the accuracy and timeliness of target detection, and effectively avoiding the risk of accidents.

[0035] In some embodiments, step S201 includes: Step S2011, obtaining an initial video image to be detected of the target area, and performing image detection on the initial video image to be detected.

[0036] In an embodiment of the present application, when the vehicle has not entered the target area, the under-vehicle image detector is in a dormant state, wherein the target area may be a parking space area. The embodiment of the present application may also include a parking space image detector in addition to the under-vehicle image detector, and the parking space image detector may be a camera device installed on the rear vehicle guardrail corresponding to the parking space area. When the under-vehicle image detector is in a dormant state, the parking space image detector implements acquisition of an initial video image to be detected corresponding to the target area, and performs image detection on the initial video image to be detected. The under-vehicle image detector and the parking space image detector may be arranged independently or integrated together.

[0037] Step S2012: when it is detected that the second target object exists in the initial video image to be detected, the first video image to be detected corresponding to the space under the vehicle is obtained.

[0038] The second target object may be a car tire. When the second target object is detected in the initial video image to be detected, it indicates that a vehicle has entered the parking area. At this time, the under-vehicle image detector is awakened to obtain the first video image to be detected corresponding to the space under the vehicle.

[0039] Step S2013: perform image detection on the first video image to be detected, and determine whether the first target object is detected in the first video image to be detected.

[0040] Furthermore, real-time image detection is performed on the first video image to be detected, and it is determined whether a first target object is detected in the first video image to be detected. The first target object may be a child and / or an animal, etc.

[0041] Through the above steps, the embodiment of the present application monitors the target area where the parking space is located through the parking space image detector. The parking space image detector can be an image detector that consumes less energy than the under-vehicle image detector, so that the under-vehicle image detector remains in a dormant state when the vehicle does not enter, and is awakened when the vehicle enters to obtain the first image to be detected, which has high feasibility and effectively saves resources.

[0042] In some embodiments, step S201 includes: Step S2014, detecting and acquiring a target heat value of the target area, and when the target heat value is greater than a preset heat threshold, acquiring a first video image to be detected corresponding to the bottom space of the vehicle captured by the bottom image detector.

[0043] The embodiment of the present application also includes a heat detector, which can be installed on the car block corresponding to the parking area, and is used to detect the heat value of the target area in real time. The target heat value of the target area collected and obtained is compared with the preset heat threshold. When the vehicle enters the parking area, the heat generated by the engine will increase the heat value of the parking area. In this way, when the target heat value is greater than the preset heat threshold, it is determined that a vehicle has entered the parking area, so the under-vehicle image detector is awakened and the first video image to be detected corresponding to the space under the vehicle is obtained.

[0044] Step S2015: perform image detection on the first video image to be detected, and determine whether the first target object is detected in the first video image to be detected.

[0045] Furthermore, real-time image detection is performed on the first video image to be detected, and it is determined whether a first target object is detected in the first video image to be detected. The first target object may be a child and / or an animal, etc.

[0046] Through the above steps, the embodiment of the present application detects heat in the target area where the parking space is located through a heat detector, determines whether a vehicle enters through the heat changes caused by the engine, and further wakes up the under-vehicle image detector when the vehicle enters, and obtains the first video image to be detected corresponding to the space under the vehicle, which is highly feasible and saves resources.

[0047] In some embodiments, after step S203, the following steps are included: Step S2031: update the first video image to be detected in real time to obtain the second video image to be detected, and perform image detection on the second video image to be detected.

[0048] The first video image to be detected is updated in real time to obtain the second video image to be detected, and image detection is performed on the second video image to be detected. That is, in an embodiment of the present application, when children and / or animals are detected in the first video image to be detected, continuous monitoring and detection will be performed.

[0049] Step S2032, determining the start time of the alarm audio playing module playing the alarm audio as the first time.

[0050] Step S2033: when it is detected that the first target object does not exist in the second video image to be detected within a preset time period after the first moment, the alarm audio playing module stops playing the alarm audio.

[0051] The start time of the alarm audio playback module playing the alarm audio is set as the first moment, and the audio alarm is continuously played from the first moment. Optionally, the audio alarm frequency can be 10 prompts per minute. The alarm duration threshold is pre-set as a preset duration, and optionally, the preset duration can be ten minutes. When it is detected that the first target object does not exist in the second video image to be detected within the preset duration after the first moment, it indicates that the children and / or animals under the vehicle have left within the preset duration, and the danger is eliminated, at which time the alarm audio playback module stops playing the alarm audio.

[0052] Through the above steps, the embodiment of the present application continuously monitors and detects the status of the target object under the vehicle within the preset time period from the start of the alarm through a preset time period. When the target object is driven away within the preset time period, the alarm audio is stopped. This can provide timely feedback on the real-time status of the bottom of the vehicle, avoid false alarms, and has strong adaptability.

[0053] In some embodiments, after step S2032, the method further includes: Step S2132, determining a second moment, where the second moment is the moment corresponding to a preset time period starting from the first moment.

[0054] The time corresponding to the preset time length from the first time is determined as the second time length. Continuing with the above example, when the preset time length is ten minutes, and the alarm audio playback module starts playing the alarm audio at 12:00, then 12:10 is determined as the second time length.

[0055] Step S2232: when it is detected at the second moment that the first target object exists in the second video image to be detected, determine danger warning information, and send the danger warning information to the client device.

[0056] When the first target object is still detected in the second video image to be detected at the second moment, it means that after the preset time, the child and / or animal under the vehicle has not left, and there is still a potential risk. At this time, the danger warning information is determined and sent to the client device.

[0057] Through the above steps, this embodiment sets a preset duration. When the alarm duration exceeds the preset duration, it is detected that the first target object is still present in the second video image to be detected, indicating that children and / or animals have not been driven away for a long time. At this time, the danger alarm information is determined and sent to the client device for further processing by the client user. The alarm range is wide, which can further improve the effectiveness of the alarm and reduce the risk.

[0058] This embodiment also provides a target object detection method. Figure 3 is a flow chart of another target object detection method according to an embodiment of the present application. Figure 3 As shown, the process further includes the following steps based on steps S201 to S203: Step S301, obtaining the area location information of the target area, and sending the area location information to the client device.

[0059] The regional location information of the target area can be the parking space number of the target parking space, and the detectors and speakers on the car barrier are bound to the corresponding parking space number in the parking system viewable by the client device. The regional location information of the target area is obtained and sent to the parking system.

[0060] Step S302: According to the area location information and the danger warning information, the client device displays the user interaction information.

[0061] According to the regional location information, the corresponding parking space of the danger warning information is determined, and the client device displays the user interaction information for further processing by the user. For example, the user interaction information displayed by the client device on the user interaction interface is a selection box, which specifically includes two selection boxes: the danger has been eliminated and the danger has not been eliminated. After the system receives the danger warning information, the parking lot manager checks the alarm parking space area and drives away children and / or animals. After driving away, the parking lot manager selects the selection box of the danger has been eliminated on the user interaction interface, and the corresponding speaker stops playing the warning audio.

[0062] Through the above steps, the embodiment of the present application uses the client's parking system to bind the danger warning information and the parking space number accordingly, and displays the corresponding user interaction information, so that the user can stop the alarm audio in time after manually eliminating the risk, thereby improving the real-time nature of the alarm, avoiding false alarms and saving resources.

[0063] The embodiments of the present application are described and illustrated below through preferred embodiments.

[0064] Figure 4 is a preferred flow chart of the target object detection method according to an embodiment of the present application, such as Figure 4 As shown, the target object detection method includes the following steps: Step S401, detecting and acquiring a target heat value of a target area, and when the target heat value is greater than a preset heat threshold, acquiring a first video image to be detected corresponding to the bottom space of the vehicle collected by a bottom image detector, wherein the bottom image detector is installed on the vehicle guard; Step S402, performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected; Step S403, when it is detected that the first target object exists in the first video image to be detected, sending an alarm broadcast instruction to the alarm audio playback module; Step S404, in response to the alarm broadcast instruction, the alarm audio playing module plays the alarm audio; Step S405, determining the start time of the alarm audio playing module playing the alarm audio as the first time; Step S406: When it is detected that the first target object does not exist in the second video image to be detected within a preset time period after the first moment, the alarm audio playing module stops playing the alarm audio.

[0065] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0066] The present embodiment also provides a target object detection device, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the terms "module", "unit", "subunit" and the like can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0067] Figure 5 is a structural block diagram of a target object detection device according to an embodiment of the present application, such as Figure 5 As shown, the device includes: a target object detection module 10, an alarm instruction sending module 20 and an alarm audio playing module 30: The target object detection module 10 is used to obtain a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected, wherein the bottom image detector is installed on the vehicle guard; The alarm instruction sending module 20 is used to send an alarm broadcast instruction to the alarm audio playing module when a first target object is detected in the first video image to be detected; The alarm audio playing module 30 is used to respond to the alarm broadcast instruction and play the alarm audio.

[0068] Figure 6 is a schematic diagram of a vehicle block for target object detection according to an embodiment of the present application, such as Figure 6 As shown, the vehicle barrier includes a vehicle bottom image detector 100, a command transmitter 200 and an alarm speaker 300: The vehicle bottom image detector 100, the command transmitter 200 and the alarm speaker 300 are installed on the vehicle guardrail; The vehicle bottom image detector 100 is used to obtain a first video image to be detected corresponding to the space under the vehicle, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected; The instruction transmitter 200 is used to send an alarm broadcast instruction to the alarm speaker when a first target object is detected in the first video image to be detected; The alarm speaker 300 is used to respond to the alarm broadcast instruction and play the alarm audio.

[0069] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0070] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0071] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0072] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program: Acquire a first video image to be detected corresponding to the space under the vehicle collected by an under-vehicle image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected, wherein the under-vehicle image detector is installed on the vehicle guard; When a first target object is detected in the first video image to be detected, an alarm broadcast instruction is sent to the alarm audio playback module; In response to the alarm broadcast instruction, the alarm audio playing module plays the alarm audio.

[0073] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0074] In addition, in combination with the target object detection method in the above embodiment, the embodiment of the present application can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by a processor, any target object detection method in the above embodiment is implemented.

[0075] Those skilled in the art should understand that the technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0076] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0077] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A target object detection method, characterized in that: The following steps are involved: Acquire a first video image to be detected corresponding to the space under the vehicle collected by an under-vehicle image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected, wherein the under-vehicle image detector is installed on the vehicle guard; When the first target object is detected in the first video image to be detected, sending an alarm broadcast instruction to the alarm audio playback module; In response to the alarm broadcast instruction, the alarm audio playing module plays the alarm audio.

2. The target object detection method according to claim 1, characterized in that: The step of acquiring a first video image to be detected corresponding to the space under the vehicle collected by the under-vehicle image detector, performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected comprises: Acquire an initial video image to be detected in the target area, and perform image detection on the initial video image to be detected; When the second target object is detected in the initial video image to be detected, a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector is obtained; Performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected.

3. The target object detection method according to claim 1, characterized in that: The step of acquiring a first video image to be detected corresponding to the space under the vehicle collected by the under-vehicle image detector, performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected comprises: Detecting and acquiring a target heat value of a target area, and when the target heat value is greater than a preset heat threshold, acquiring a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector; Performing image detection on the first video image to be detected, and determining whether a first target object is detected in the first video image to be detected.

4. The target object detection method according to any one of claims 1 to 3, characterized in that: In response to the alarm broadcast instruction, after the alarm audio playing module plays the alarm audio, the method further includes: updating the first video image to be detected in real time to obtain a second video image to be detected, and performing image detection on the second video image to be detected; Determine the start time of the alarm audio playing module playing the alarm audio as the first time; When it is detected that the first target object does not exist in the second video image to be detected within a preset time period after the first moment, the alarm audio playing module stops playing the alarm audio.

5. The target object detection method according to claim 4, characterized in that: After determining that the start time at which the alarm audio playing module plays the alarm audio is the first time, the method further includes: Determine a second moment, where the second moment is a moment corresponding to a time after the preset time period has passed since the first moment; When it is detected at the second moment that the first target object exists in the second video image to be detected, danger warning information is determined and sent to the client device.

6. The target object detection method according to claim 5, characterized in that: The method further comprises: Acquire regional location information of a target area, and send the regional location information to the client device; The client device displays user interaction information according to the area location information and the danger warning information.

7. A vehicle stop for target object detection, characterized in that: Including vehicle bottom image detector, command transmitter and alarm speaker: The vehicle bottom image detector, the command transmitter and the alarm speaker are installed on the vehicle guard; The vehicle bottom image detector is used to obtain a first video image to be detected corresponding to the space under the vehicle, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected; The instruction transmitter is used to send an alarm broadcast instruction to the alarm speaker when the first target object is detected in the first video image to be detected; The alarm speaker is used to respond to the alarm broadcast instruction and play the alarm audio.

8. A target object detection device, characterized in that: It includes target object detection module, alarm command sending module and alarm audio playback module: The target object detection module is used to obtain a first video image to be detected corresponding to the bottom space of the vehicle collected by the bottom image detector, perform image detection on the first video image to be detected, and determine whether a first target object is detected in the first video image to be detected, wherein the bottom image detector is installed on the vehicle guard; The alarm instruction sending module is used to send an alarm broadcast instruction to the alarm audio playing module when the first target object is detected in the first video image to be detected; The alarm audio playing module is used to respond to the alarm broadcast instruction and play the alarm audio.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the target object detection method according to any one of claims 1 to 6.

10. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the target object detection method according to any one of claims 1 to 6 when running.

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