Vehicle parking violation monitoring method and system based on historical behavior

Abstract

The application discloses a vehicle illegal parking monitoring method and system based on historical behaviors, and relates to the technical field of intelligent traffic management.The method comprises the following steps: a vehicle illegal parking monitoring device is used to monitor a target parking space; a weight detection unit is used to activate an image acquisition device according to a weight detection signal, and the target parking space is subjected to image acquisition; the image is transmitted to a vehicle illegal parking detection system constructed according to historical parking behaviors, the target parking image is judged, and an illegal parking judgment result is obtained; according to the illegal parking judgment result, a remote server sends an activation instruction to an illegal parking warning unit, the illegal parking warning unit enters a working mode, and the target parking space is subjected to illegal parking warning. The weight detection unit is used to construct a detection logic according to historical parking behaviors, the continuous operation time of an image acquisition device is reduced, and the technical effects of reducing illegal parking monitoring cost and improving illegal parking detection credibility and accuracy are achieved.

Description

Technical Field

[0001] This invention relates to the field of intelligent traffic management technology, and in particular to a method and system for monitoring illegal parking of vehicles based on historical behavior. Technical Background

[0002] With economic and social development, increasing traffic pressure has placed higher demands on traffic management. Illegal parking, a common type of traffic violation, encroaches on public roads, disrupts traffic order, and reduces traffic efficiency. Current illegal parking monitoring methods mostly employ single image recognition technology to monitor illegal parking behavior. This approach suffers from technical problems such as the need for continuous operation of image acquisition devices, low image quality in complex environments, high monitoring costs, and a susceptibility to misjudgments. Summary of the Invention

[0003] The purpose of this application is to provide a method and system for monitoring illegally parked vehicles based on historical behavior. The method is applied to a vehicle illegal parking monitoring device, which includes a weight detection unit, an image acquisition unit, and an illegal parking warning unit. The weight detection unit, the image acquisition unit, and the illegal parking warning unit are communicatively connected to a remote server. This addresses the technical problems in existing technologies, such as the need for continuous operation of the image acquisition device, low image quality in complex environments, high monitoring costs, and susceptibility to misjudgments in illegal parking monitoring.

[0004] In view of the above technical problems, this application provides a method for monitoring illegal parking of vehicles based on historical behavior.

[0005] Firstly, this application provides a method for monitoring illegally parked vehicles based on historical behavior, wherein the method includes:

[0006] The vehicle illegal parking monitoring device is activated to monitor the target parking space. The image acquisition unit is set to standby mode, and the illegal parking warning unit is set to power-off mode. The weight detection unit is laid on the parking space entry line. When the weight detection unit detects a target vehicle entering the target parking space, it sends an activation command to the image acquisition unit, setting the image acquisition unit to working mode. The image acquisition unit acquires images of the target parking space, obtaining a target parking image. The target parking image is acquired when the signal from the weight detection unit is stable. The image acquisition unit displays the target parking image... The image is sent to the remote server, which judges the target parking image based on its embedded vehicle illegal parking detection system and obtains the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior. When the illegal parking judgment result shows that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode. When the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters working mode to perform vehicle illegal parking warning.

[0007] Secondly, this application also provides a vehicle illegal parking monitoring system based on historical behavior, wherein the system includes:

[0008] The system includes: a weight detection unit, installed on the parking space entry line; an image acquisition unit, which sends an activation command to the image acquisition unit when it detects a target vehicle entering the target parking space, setting the image acquisition unit to working mode; an image acquisition unit, used to acquire images of the target parking space, obtained when the signal from the weight detection unit is stable; a vehicle illegal parking detection unit, used to judge the target parking image and obtain an illegal parking judgment result, wherein the vehicle illegal parking detection unit is constructed based on historical parking behavior; and an illegal parking warning unit, used to indicate illegal parking to the target vehicle.

[0009] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0010] This application monitors target parking spaces using a vehicle illegal parking monitoring device. Initially, the image acquisition unit is set to standby mode, and the illegal parking warning unit is set to power-off mode. Then, relying on the weight detection unit laid on the parking space entry line, when a target vehicle enters the target parking space, the weight detection unit sends an activation command to the image acquisition unit, waking it up into working mode. Subsequently, when the signal from the weight detection unit is stable, the image acquisition unit acquires an image of the target parking space, obtaining a target parking image. The image acquisition unit sends the target parking image to a remote server, which judges the target parking image based on its embedded vehicle illegal parking detection system, obtaining the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior. When the illegal parking judgment result shows that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode. When the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters working mode, issuing an illegal parking warning to the vehicle illegally parked in the target parking space. By relying on weight detection units and constructing detection logic based on historical parking behavior, the continuous operating time of image acquisition devices is reduced, thereby achieving the technical effects of reducing the cost of illegal parking monitoring and improving the reliability and accuracy of illegal parking detection.

[0011] The above description is merely an overview of the technical solution of this application. In order to more clearly explain the technical means of this application, and to enable its implementation in accordance with the contents of the specification, and to make the above and other objectives, features and advantages of this application more apparent and understandable, specific embodiments of this application are described below. Attached Figure Description

[0012] The embodiments of the present invention and the following brief description are illustrated in conjunction with the figures, which are described below:

[0013] Figure 1 This is a flowchart illustrating the vehicle illegal parking monitoring method based on historical behavior proposed in this application.

[0014] Figure 2 This is a schematic diagram of the process for obtaining target parking images in the vehicle illegal parking monitoring method based on historical behavior in this application;

[0015] Figure 3 This is a schematic diagram of the vehicle illegal parking monitoring system based on historical behavior, as described in this application.

[0016] Explanation of reference numerals in the attached diagram: Detection setting module 11, Monitoring activation module 12, Image acquisition module 13, Illegal parking judgment module 14, Standby setting module 15, Illegal parking alarm module 16. Detailed Implementation

[0017] This application addresses the technical problems of poor adaptability and low detection accuracy of existing technologies by providing a vehicle illegal parking monitoring method based on historical behavior.

[0018] The overall approach adopted in this technical embodiment to solve the above problems is as follows:

[0019] First, a vehicle illegal parking monitoring device is set up to monitor the target parking space. Initially, the image acquisition unit is set to standby mode, and the illegal parking warning unit is set to off mode. Then, a weight detection unit laid on the parking space entry line detects the parking of the target vehicle. When a target vehicle is detected entering the target parking space, the weight detection unit sends an activation command to the image acquisition unit, waking it up into working mode. Then, when the signal from the weight detection unit is stable, the image acquisition unit acquires an image of the target parking space. Afterwards, image acquisition... The unit sends the target parking image to a remote server. The remote server uses its embedded vehicle illegal parking detection system to judge the target parking image and obtain the illegal parking judgment result. This vehicle illegal parking detection system is built based on historical parking behavior. When the illegal parking judgment result indicates that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode. When the illegal parking judgment result indicates that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters working mode to issue an illegal parking warning to vehicles illegally parked in the target parking space. By relying on the weight detection unit and building the detection logic based on historical parking behavior, the continuous operating time of the image acquisition device is reduced, achieving the technical effects of reducing illegal parking monitoring costs and improving the reliability and accuracy of illegal parking detection.

[0020] To better understand the above technical solutions, the following detailed description will be provided in conjunction with the accompanying drawings and specific embodiments. It should be noted that the described embodiments are only a part of the embodiments of this application, not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention. Furthermore, it should be noted that, for ease of description, only the parts related to this invention are shown in the accompanying drawings, not all of them.

[0021] Example 1

[0022] like Figure 1 As shown, this application provides a method for monitoring illegally parked vehicles based on historical behavior, the method comprising:

[0023] S100: Activate the vehicle illegal parking monitoring device to monitor the target parking space, set the image acquisition unit to standby mode, and set the illegal parking warning unit to power-off mode.

[0024] Specifically, the vehicle illegal parking monitoring device includes a weight detection unit, an image acquisition unit, and an illegal parking warning unit. The image acquisition unit includes image acquisition equipment and image transmission equipment. The image acquisition equipment communicates with a remote server through the image transmission equipment.

[0025] Specifically, first, proper configuration and correct connection are performed; then, the image acquisition device is started, and the preset acquisition resolution and sharpness are set. The image acquisition device typically uses a digital sensor to capture the optical information of the scene, including CCD (Charge-Coupled Device) sensors and CMOS (Complementary Metal-Oxide-Semiconductor) sensors, preferably CMOS sensors. Image transmission can be achieved through various methods, including wired transmission and wireless transmission (wireless networks, Bluetooth, etc.). Image transmission devices include wireless transmission devices and wired transmission devices. For example, the preset acquisition resolution is 3200*2400, with a 4:3 aspect ratio.

[0026] Specifically, standby mode refers to the low-power state of the image acquisition unit. In standby mode, the image acquisition unit remains powered on and its operating state is stored in system memory. Most non-essential components and programs are suspended, while essential components of the image acquisition unit maintain minimal operation. At this time, system resource usage remains low, resulting in low power consumption. Furthermore, the image acquisition unit in standby mode can quickly activate upon receiving a corresponding activation command and acquire image information of the target vehicle. This achieves the technical effect of reducing the continuous operating time of the image acquisition device, thereby lowering the cost of illegal parking monitoring.

[0027] Specifically, the illegal parking warning unit is used to issue warnings to vehicles illegally parked in target parking spaces based on illegal parking detection results. The warning methods include sound, light, software pop-ups, and SMS alerts. Preferably, the illegal parking warning unit includes LED traffic lights and a buzzer, achieving multi-modal warnings of illegal parking behavior from auditory and visual perspectives. By default, the illegal parking warning unit is in a powered-off state, meaning the device is not powered on. The illegal parking warning unit provides warnings for illegal parking through multiple senses and channels, offering excellent warning effects and adaptability to complex environments.

[0028] S200: The weight detection unit is laid on the parking space entry line. When the weight detection unit detects that a target vehicle has entered the target parking space, the weight detection unit sends an activation command to the image acquisition unit to set the image acquisition unit to working mode.

[0029] Specifically, the weight detection unit can detect the weight of a target vehicle using sensors to determine whether the vehicle is parked in the target parking space and simultaneously determine the vehicle's weight. The weight detection unit consists of a weight sensor and a signal processor. Applicable sensor types include piezoresistive sensors, strain gauge sensors, electromagnetic induction sensors, piezoelectric sensors, vibration sensors, etc. The weight detection unit contains at least one sensor; preferably, the weight sensor is a piezoelectric sensor.

[0030] Specifically, when the target vehicle parks in the target parking space, its wheels sequentially cross the parking space entry line. The weight sensor, acting on the vehicle's gravity, converts this weight information into an electrical signal, which is then transmitted to the signal processor. The signal processor uses a conversion algorithm to convert the electrical signal back into the target vehicle's weight information, thus obtaining the vehicle's weight data.

[0031] By working together with the weight detection unit and the image acquisition unit, the status of the target parking space is monitored in real time, and information on vehicle entry is captured in a timely manner, thereby achieving the technical effect of improving the efficiency and convenience of illegal parking management.

[0032] Furthermore, the weight detection unit is laid on the parking space entry line. When the weight detection unit detects a target vehicle entering the target parking space, the method further includes:

[0033] S201: The weight detection unit has a first weight threshold and a second weight threshold;

[0034] S202: When the weight of the vehicle entering the parking space is greater than the second weight threshold, the weight detection unit sends an activation command to the illegal parking warning unit.

[0035] S203: The illegal parking warning unit issues an illegal parking instruction to the target vehicle.

[0036] Specifically: The first weight threshold refers to the preset minimum weight value of the target vehicle. The first weight threshold is equal to the typical weight value of the lightest vehicle among the permitted parking vehicle types. Objects with a weight less than or equal to the first weight threshold are not considered target vehicles. The first weight threshold is used to exclude small moving objects, including pedestrians, non-motorized vehicles, and motorcycles.

[0037] Specifically, the second weight threshold refers to the preset maximum weight of the target vehicle. Numerically, the second weight threshold is equal to the typical weight of the heaviest vehicle among the permitted parking vehicle types. Vehicles with a weight greater than or equal to the first weight threshold are not considered target vehicles. The second weight threshold is used to determine vehicles that are not permitted to park in the target parking space, including heavy trucks, buses, and construction machinery.

[0038] The typical weight value of a vehicle refers to its curb weight. This is the total weight of the vehicle when it is fully loaded with all operational necessities but excluding passengers and cargo. This weight includes the vehicle's own weight as well as essential components such as the fixed body structure, engine, fuel tank, lubricating oil, and coolant.

[0039] S300: The image acquisition unit acquires an image of the target parking space and obtains a target parking image. The target parking image is acquired when the signal from the weight detection unit is stable.

[0040] Specifically, the target parking image refers to an image containing the target vehicle and the target parking space after parking, and the target parking image includes photos, videos, etc. The image acquisition unit presets multiple sets of image acquisition parameters corresponding to multiple scenes, such as low-light scenes, strong-light scenes, and medium-light scenes. Preferably, the image acquisition unit uses technologies including multi-frame synthesis, HDR, long exposure, and high sensitivity to improve image acquisition performance in complex environments. This achieves the technical effect of improving image quality and thus increasing the confidence level of vehicle illegal parking detection.

[0041] Furthermore, such as Figure 2 As shown, the image acquisition unit acquires an image of the target parking space to obtain a target parking image. Step S300 includes:

[0042] S310: When the weight on the parking space entry line is greater than or equal to the first weight threshold and less than or equal to the second weight threshold, the weight detection unit continues to detect and acquire the weight signal.

[0043] S320: Set parking operation duration threshold;

[0044] S330: Set a weight detection window according to the parking operation duration threshold;

[0045] S340: When the weight signal in the weight detection window remains unchanged, the image acquisition unit acquires an image of the target parking space.

[0046] Specifically, the parking operation time threshold refers to the time taken from when a target vehicle enters the target parking space to when it completes a series of parking operations. During the parking process, the target vehicle needs to repeatedly cross the parking space entry line, during which time the weight value detected by the weight detection unit continuously changes. After completing the series of parking operations, i.e., after the parking operation time threshold has been reached, the target vehicle comes to a stop. Correspondingly, the weight value detected by the weight detection unit remains relatively stable and does not change.

[0047] Specifically, the weight detection window refers to a certain time period during which the weight value detected by the weight detection unit changes. If the moment when the target vehicle first crosses the parking space entry line is set as zero, then the start time of the weight detection window is equal to the end time of the parking operation duration threshold, that is, the weight detection window is located after the parking operation duration threshold.

[0048] For example, the weight values ​​detected by the weight detection unit within the weight detection window are recorded to obtain a set of weight values ​​within the window. The average and standard deviation of the set of weight values ​​within the window are calculated. If the standard deviation is less than or equal to 10% of the average, the weight signal is considered to remain unchanged. The weight detection unit sends an activation signal to the image acquisition unit to acquire an image of the target parking space. By setting a parking operation duration threshold and a weight detection window, the illegal parking monitoring device can be flexibly configured according to parking regulations, achieving the technical effect of reducing false judgments of illegal parking behavior.

[0049] Furthermore, setting a parking operation duration threshold, step S320 includes:

[0050] S321: The vehicle illegal parking monitoring device also includes a license plate acquisition unit;

[0051] S322: When the target vehicle enters the target parking space, the license plate acquisition unit collects the license plate of the target vehicle to obtain the target license plate number of the target vehicle.

[0052] S323: The target license plate number is transmitted to the remote server, and the remote server searches its embedded vehicle parking history database to obtain the parking record of the target vehicle.

[0053] S324: Obtain the historical parking operation duration data of the target vehicle from the parking record;

[0054] S325: Set the parking operation duration threshold based on the historical parking operation duration data.

[0055] The license plate acquisition unit is used to obtain the license plate information of the target vehicle, and then, based on the target license plate, to retrieve and analyze the individual parking records of the target vehicle on a remote server to obtain the individual historical behavior of the target vehicle. The parking history database embedded in the remote server contains data on multiple target vehicles, multiple target vehicle categories, and multiple target vehicle historical parking operation durations, all stored in an interconnected manner.

[0056] For example, in a preferred embodiment, firstly, the average value α and standard deviation σ of the historical parking operation time data of the target vehicle are calculated; then, the parking operation time threshold of the target vehicle is set to α + 2σ. By reading the target license plate number and analyzing the individual historical parking operation time data of the target vehicle, and setting personalized parking operation time thresholds for different target vehicles, the technical effect of improving the efficiency and accuracy of vehicle illegal parking monitoring is achieved.

[0057] Furthermore, setting a parking operation duration threshold, step S320 also includes:

[0058] S326: When the parking record of the target vehicle is empty, the vehicle model is collected by the vehicle model acquisition unit to obtain the target vehicle model.

[0059] S327: Search the vehicle parking history database according to the target vehicle model to obtain the parking records of the same model as the target vehicle model;

[0060] S328: Obtain the historical parking operation duration data of the target vehicle from the same model parking records;

[0061] S329: Set the parking operation duration threshold based on the historical parking operation duration data of the same vehicle model.

[0062] In one possible embodiment, the target vehicle's historical records are empty, meaning the target vehicle is parking in the area of ​​the target parking space for the first time. Preferably, a parking operation duration threshold can be set based on the target vehicle model.

[0063] The vehicle model acquisition unit is used to analyze vehicle types. Preferably, the target vehicle image is acquired by the image acquisition unit, and then a machine learning-based vehicle category recognition model is constructed. Next, the target vehicle image is analyzed and recognized using the vehicle category recognition model to obtain the target vehicle model. The vehicle category recognition model algorithm includes SSD, YOLOv3, YOLOv5, CenterNet, RetinaNet, etc.

[0064] For example, in a preferred embodiment, firstly, the average value α and variance γ of the historical parking operation time data of the target vehicle model are calculated; then, a parking operation time threshold for the target vehicle is set to equal α + γ. By obtaining the target vehicle model, reading and analyzing the historical parking operation time data of the target vehicle model, and setting personalized parking operation time thresholds for target vehicles without historical parking records, the technical effect of improving the efficiency and accuracy of vehicle illegal parking monitoring is achieved.

[0065] S400: The image acquisition unit sends the target parking image to the remote server. The remote server judges the target parking image according to its embedded vehicle illegal parking detection system and obtains the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior.

[0066] The remote server is a cloud-based computing device responsible for receiving images of the target parking area sent by the image acquisition unit. The remote server can be a single computing device, a distributed computing device linked via a network, or other types of computing devices.

[0067] A vehicle illegal parking detection system is embedded on the remote server. This system includes a vehicle illegal parking detection model. The model is built using machine learning and deep learning algorithms to identify and locate vehicles in images and determine whether any vehicles are illegally parked.

[0068] In a feasible embodiment, the vehicle illegal parking detection model comprises multiple layers and sub-models, including: an input layer, a segmentation layer, a localization layer, a time-period analysis sub-model, a parking violation analysis sub-model, and an output layer. The segmentation layer is used to segment the image to obtain pixels belonging to the target vehicle; the localization layer is used to determine the target vehicle's edges for localization; the time-period analysis sub-model analyzes whether the target vehicle is parked during a no-parking period based on the parking regulations of the target parking space area; and the parking violation analysis sub-model determines whether the target vehicle is parked outside the designated area of ​​the target parking space.

[0069] In one feasible implementation, historical parking behaviors are classified, labeled, and stored to obtain multiple parking behavior category sets, each corresponding one-to-one with a sub-model. These multiple parking behavior category sets are then used as training sets to generate a vehicle illegal parking detection model, thus constructing a vehicle illegal parking detection system.

[0070] By using remote servers to detect illegally parked vehicles, the breadth of historical parking behavior data is expanded, thereby improving the robustness of illegal parking detection and reducing the deployment cost of illegal parking monitoring equipment.

[0071] S500: When the illegal parking judgment result shows that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode.

[0072] Specifically: When the target vehicle is parked normally, the image acquisition unit receives a standby command and enters standby mode, which has the technical effect of improving equipment life and reducing the cost of illegal parking monitoring.

[0073] S600: When the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters the working mode to issue a vehicle illegal parking warning.

[0074] Abnormal vehicle parking includes: parking beyond the designated line, parking during no-parking hours, etc. After receiving the activation command, the illegal parking warning unit connects to the power supply circuit and issues an alarm according to the preset alarm mode, entering the working mode.

[0075] In a preferred embodiment, the activation command includes a target vehicle parking anomaly category, and multiple parking anomaly categories correspond one-to-one with multiple preset warning modes. For example, parking across the line is indicated by a constantly lit warning light, and parking during a no-parking period is indicated by a flashing warning light.

[0076] In one feasible embodiment, the illegal parking warning unit is equipped with a display screen, which receives and displays an activation command containing the abnormal parking category of the target vehicle.

[0077] By using different warning devices and pre-setting multiple warning modes, the technical effect of improving the warning effect can be achieved.

[0078] Furthermore, when the illegal parking judgment result indicates that the target vehicle is parked abnormally, step S600 further includes:

[0079] S610: When the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an image acquisition command to the image acquisition unit;

[0080] S620: The image acquisition unit performs secondary image acquisition on the target parking space to obtain a verification parking image;

[0081] S630: Compare the verification parking image with the target parking image to obtain the verification result;

[0082] S640: When the verification result shows that the verified parking image is consistent with the target parking image, the vehicle illegal parking warning unit is used to issue a vehicle illegal parking warning.

[0083] Specifically, by comparing and verifying the parked image with the target parked image, a verification mechanism is introduced, which can reduce false detections of illegally parked vehicles and improve the accuracy of vehicle illegal parking detection.

[0084] In a preferred embodiment, a secondary image acquisition interval is provided to delay the acquisition of secondary images. For example, in locations such as airports and high-speed rail stations, the secondary image acquisition interval is set to the duration of a temporary parking period. When the illegal parking judgment result indicates that the target vehicle is parked abnormally, image acquisition is performed by delaying the temporary parking period. This allows for vehicle illegal parking monitoring in more scenarios and under different illegal parking regulations, expanding the applicable scenarios for vehicle illegal parking monitoring and simultaneously improving the technical effect of increasing the reliability and accuracy of illegal parking detection.

[0085] In summary, the vehicle illegal parking monitoring method based on historical behavior provided by this invention has the following technical effects:

[0086] This application monitors target parking spaces using the vehicle illegal parking monitoring device. Initially, the image acquisition unit is set to standby mode, and the illegal parking warning unit is set to power-off mode. Then, relying on the weight detection unit laid on the parking space entry line, when a target vehicle enters the target parking space, the weight detection unit sends an activation command to the image acquisition unit, waking it up into working mode. Subsequently, when the signal from the weight detection unit is stable, the image acquisition unit acquires an image of the target parking space, obtaining a target parking image. The image acquisition unit then sends the target parking image to... The remote server uses its embedded vehicle illegal parking detection system to judge the target parking image and obtain the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior. When the illegal parking judgment result indicates that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode. When the illegal parking judgment result indicates that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters working mode to issue an illegal parking warning to the vehicle illegally parked in the target parking space. By relying on a weight detection unit and constructing detection logic based on historical parking behavior, the continuous operating time of the image acquisition device is reduced, achieving the technical effects of reducing illegal parking monitoring costs and improving the reliability and accuracy of illegal parking detection.

[0087] Example 2

[0088] Based on the same concept as the vehicle illegal parking monitoring method based on historical behavior in the embodiments described above, such as Figure 3 As shown, this application also provides a vehicle illegal parking monitoring system based on historical behavior, the system comprising:

[0089] The detection setting module 11 is used to start the vehicle illegal parking monitoring device to monitor the target parking space, set the image acquisition unit to standby mode, and set the illegal parking warning unit to power-off mode.

[0090] The monitoring activation module 12 is used to lay the weight detection unit on the parking space entry line. When the weight detection unit detects that a target vehicle has entered the target parking space, the weight detection unit sends an activation command to the image acquisition unit to set the image acquisition unit to working mode.

[0091] Image acquisition module 13 is used to acquire images of the target parking space through the image acquisition unit to obtain a target parking image, wherein the target parking image is acquired when the signal of the weight detection unit is stable;

[0092] The illegal parking judgment module 14 is used to send the target parking image to the remote server through the image acquisition unit. The remote server judges the target parking image according to its embedded vehicle illegal parking detection system and obtains the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior.

[0093] The standby setting module 15 is used to send a standby command to the image acquisition unit when the illegal parking judgment result shows that the target vehicle is parked normally, and the image acquisition unit enters standby mode.

[0094] The illegal parking warning module 16 is used to send an activation command to the illegal parking warning unit when the illegal parking judgment result shows that the target vehicle is parked abnormally. The illegal parking warning unit then enters the working mode and performs vehicle illegal parking warning.

[0095] Furthermore, the image acquisition module 13 also includes a license plate acquisition subunit, which is used to acquire the license plate of the target vehicle when the target vehicle enters the target parking space, and obtain the target license plate number of the target vehicle.

[0096] Furthermore, the image acquisition module 13 also includes a vehicle model acquisition unit, which is used to acquire the vehicle model of the target vehicle when the parking record of the target vehicle is empty.

[0097] Furthermore, the monitoring activation module 12 includes the following steps:

[0098] The weight detection unit has a first weight threshold and a second weight threshold;

[0099] When the weight of the vehicle entering the parking space exceeds the second weight threshold, the weight detection unit sends an activation command to the illegal parking warning unit.

[0100] The illegal parking warning unit issues an illegal parking instruction to the target vehicle.

[0101] Furthermore, the image acquisition module 13 includes the following steps:

[0102] Set a threshold for parking operation duration;

[0103] Set the weight detection window according to the parking operation duration threshold;

[0104] When the weight signal in the weight detection window remains unchanged, the image acquisition unit acquires an image of the target parking space.

[0105] Furthermore, the system also includes: a behavior verification module, used to send an image acquisition command to the image acquisition unit when the illegal parking judgment result shows that the target vehicle is parked abnormally;

[0106] The image acquisition unit performs secondary image acquisition on the target parking space to obtain a verification parking image;

[0107] The verification parking image is compared with the target parking image to obtain the verification result;

[0108] When the verification result shows that the verified parking image matches the target parking image, the vehicle is warned of illegal parking through the illegal parking warning unit.

[0109] It should be understood that the focus of the embodiments mentioned in this specification is their difference from other embodiments. The specific embodiments in the aforementioned Embodiment 1 are also applicable to the vehicle illegal parking monitoring system based on historical behavior described in Embodiment 2. For the sake of brevity, they will not be elaborated further here.

[0110] It should be understood that the embodiments disclosed in this application and the above description can enable those skilled in the art to implement this application. At the same time, this application is not limited to the embodiments mentioned above; obvious modifications and variations to the embodiments mentioned in this application also fall within the scope of this application's principles.

Claims

1. A method for monitoring illegally parked vehicles based on historical behavior, characterized in that, The method is applied to a vehicle illegal parking monitoring device, which includes a weight detection unit, an image acquisition unit, and an illegal parking warning unit. The weight detection unit, the image acquisition unit, and the illegal parking warning unit are communicatively connected to a remote server. The method includes: The vehicle illegal parking monitoring device is activated to monitor the target parking space, the image acquisition unit is set to standby mode, and the illegal parking warning unit is set to power-off mode. The weight detection unit is laid on the parking space entry line. When the weight detection unit detects that a target vehicle has entered the target parking space, the weight detection unit sends an activation command to the image acquisition unit to set the image acquisition unit to working mode. The image acquisition unit acquires an image of the target parking space, and the target parking image is acquired when the signal from the weight detection unit is stable. The image acquisition unit sends the target parking image to the remote server. The remote server judges the target parking image according to its embedded vehicle illegal parking detection system and obtains the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior. When the illegal parking judgment result shows that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode; When the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters the working mode to issue a vehicle illegal parking warning. Set parking operation duration thresholds, including: The vehicle illegal parking monitoring device also includes a license plate acquisition unit; When the target vehicle enters the target parking space, the license plate acquisition unit collects the license plate of the target vehicle to obtain the target license plate number of the target vehicle. The target license plate number is transmitted to the remote server, which then searches its embedded vehicle parking history database to obtain the parking record of the target vehicle. Obtain the historical parking operation duration data of the target vehicle from the parking records; The parking operation duration threshold is set based on the historical parking operation duration data; Also includes: The vehicle illegal parking monitoring device also includes a vehicle model acquisition unit; When the parking record of the target vehicle is empty, the vehicle model is collected by the vehicle model acquisition unit to obtain the target vehicle model. Based on the target vehicle model, a search is performed in the vehicle parking history database to obtain parking records of the same model as the target vehicle. Obtain the historical parking operation duration data of the target vehicle from the parking records of the same vehicle model; The parking operation time threshold is set based on the historical parking operation time data of the same vehicle model. Set the weight detection window according to the parking operation duration threshold; When the weight signal in the weight detection window remains unchanged, the image acquisition unit acquires an image of the target parking space.

2. The method according to claim 1, characterized in that, Also includes: The weight detection unit has a first weight threshold and a second weight threshold; When the weight of the vehicle entering the parking space exceeds the second weight threshold, the weight detection unit sends an activation command to the illegal parking warning unit. The illegal parking warning unit issues an illegal parking instruction to the target vehicle.

3. The method according to claim 2, characterized in that, Also includes: When the weight on the parking space entry line is greater than or equal to the first weight threshold and less than or equal to the second weight threshold, the weight detection unit continues to detect and acquire the weight signal.

4. The method according to claim 1, characterized in that, Also includes: When the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an image acquisition command to the image acquisition unit; The image acquisition unit performs secondary image acquisition on the target parking space to obtain a verification parking image; The verification parking image is compared with the target parking image to obtain the verification result; When the verification result shows that the verified parking image matches the target parking image, the vehicle is warned of illegal parking through the illegal parking warning unit.

5. A vehicle illegal parking monitoring system based on historical behavior, characterized in that, For implementing the vehicle illegal parking monitoring method based on historical behavior as described in any one of claims 1-4, the system comprises: The detection setting module is used to activate the vehicle illegal parking monitoring device to monitor the target parking space, set the image acquisition unit to standby mode, and set the illegal parking warning unit to power-off mode. The monitoring activation module is used to lay the weight detection unit on the parking space entry line. When the weight detection unit detects that a target vehicle has entered the target parking space, the weight detection unit sends an activation command to the image acquisition unit to set the image acquisition unit to working mode. An image acquisition module is used to acquire images of the target parking space through the image acquisition unit to obtain a target parking image. The target parking image is acquired when the signal of the weight detection unit is stable. The illegal parking judgment module is used to send the target parking image to a remote server through the image acquisition unit. The remote server judges the target parking image according to its embedded vehicle illegal parking detection system and obtains the illegal parking judgment result. The vehicle illegal parking detection system is constructed based on historical parking behavior. A standby setting module is used so that when the illegal parking judgment result shows that the target vehicle is parked normally, the remote server sends a standby command to the image acquisition unit, and the image acquisition unit enters standby mode. The illegal parking warning module is used so that when the illegal parking judgment result shows that the target vehicle is parked abnormally, the remote server sends an activation command to the illegal parking warning unit, and the illegal parking warning unit enters the working mode to perform vehicle illegal parking warning.

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