Electronic fence monitoring system based on computer vision technology

Abstract

The present application relates to the technical field of monitoring and identification, in particular to an electronic fence monitoring system based on computer vision technology, which comprises an electronic fence deployment module, a computer vision judgment module and a foreign body intrusion display module. The present application combines the forbidden parking area after positioning by the electronic fence deployment module, arranges and controls the monitoring equipment, responds to the vehicles entering the forbidden parking area, feeds back the images of the fixed area near the forbidden parking area and identifies the vehicle information continuously parked in the forbidden parking area, plans the monitoring equipment and the responding equipment according to the position state of the forbidden parking area, forms the monitoring electronic fence responding to the illegally parked vehicles, identifies the current position state of the vehicle, judges the illegally parked state of the monitored vehicle by the computer vision judgment module, finally displays the illegally parked vehicle information in real time through the foreign body intrusion display module, timely reminds the vehicle owner about to leave the vehicle, and prevents the occurrence of congestion phenomenon in the forbidden parking area.

Description

Technical Field

[0001] This invention relates to the field of monitoring and identification technology, and more specifically, to an electronic fence monitoring system based on computer vision technology. Background Technology

[0002] With the continuous development of technology and the continuous improvement of per capita consumption, the number of vehicles purchased has also increased, which undoubtedly poses a significant challenge to parking areas in residential communities. Not only is it necessary to rationally plan parking areas, but it is also necessary to deal with illegal parking issues in real time. For example, if a designated charging space is occupied and not detected in time, the owner of the space will be unable to charge their vehicle. In communities with limited parking spaces, some vehicles will park in no-parking areas such as fire lanes. If this is not detected and dealt with promptly, it will be difficult to contact the owner to remove the vehicle after they leave, creating a significant safety hazard. Furthermore, in areas where fire lanes connect to community access roads, too many vehicles parked in no-parking zones can cause congestion, affecting the entry and exit of vehicles. For large residential communities, although parking areas are equipped with surveillance equipment, the surveillance equipment has blind spots, making it impossible to provide comprehensive monitoring of all roads. When illegally parked vehicles are detected...

[0003] To address the aforementioned issues, there is an urgent need for electronic fence monitoring systems based on computer vision technology. Summary of the Invention

[0004] The purpose of this invention is to provide an electronic fence monitoring system based on computer vision technology to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, an electronic fence monitoring system based on computer vision technology is provided, including a no-parking zone positioning module and a community map area planning module. The community map area planning module uses an electronic map to locate the target community and generates a corresponding target community area electronic map based on the current geographical structure of the target community. The no-parking zone positioning module combines the target community area electronic map to locate the permitted parking areas and no-parking areas for vehicles in the community. The system also includes an electronic fence deployment module, a computer vision judgment module, a vehicle information input database, and a foreign object intrusion display module.

[0006] The electronic fence deployment module, combined with the located no-parking zones in the community, deploys monitoring equipment to respond to vehicles entering the no-parking zones, provides feedback on images of fixed areas near the no-parking zones, and identifies information on vehicles continuously parked in the no-parking zones.

[0007] The computer vision judgment module combines the response of vehicles entering the no-parking zone of the community with the feedback of images of fixed areas near the no-parking zone to determine the illegal parking status of the monitored vehicles and issue illegal parking status information of the monitored vehicles. It also works with the electronic fence deployment module to identify information on vehicles that are continuously parked in the no-parking zone of the community.

[0008] The vehicle information database is used to collect vehicle information and associated identity information of community owners. Combined with the identification of vehicles that are continuously parked in the community's no-parking zone, the matching associated identity information is sent to the foreign object intrusion display module. The foreign object intrusion display module displays the vehicle information and associated identity information that are continuously parked in the community's no-parking zone in real time.

[0009] As a further improvement to this technical solution, the electronic fence deployment module includes a response end feedback unit, a monitoring image feedback unit, and a scanning and recognition unit;

[0010] The response feedback unit is equipped with an infrared recognition device, which is deployed according to the no-parking zones and responds to identify the parking status of vehicles in the no-parking zones.

[0011] The monitoring image feedback unit is equipped with a fixed camera to monitor the vehicle status in the no-parking zone and the parking status in the permitted parking areas around the no-parking zone. It combines the vehicle parking status in the no-parking zone with the real-time feedback of fixed-location monitoring image information.

[0012] The scanning and recognition unit is equipped with a mobile camera device, plans a moving route according to the no-parking zone division rules, and identifies vehicle information that is located in the no-parking zone and is parked.

[0013] As a further improvement to this technical solution, the response feedback unit identifies the types of no-parking zones for vehicle parking status in no-parking zones, including fixed parking space no-parking zones and fire lane no-parking zones;

[0014] Designated parking no-parking zones: These are the parking conditions of vehicles in private parking spaces within the community.

[0015] No-parking zone in fire lanes: This refers to the parking status of vehicles in fire lanes.

[0016] As a further improvement to this technical solution, the method for the response end feedback unit to identify the parking status of vehicles in the no-parking zone includes the following steps:

[0017] S1. Identify the type of no-parking zone in the current monitored area by combining the no-parking zones for vehicles;

[0018] S2. Based on the identified no-parking zone type, obtain the corresponding vehicle parking status results, including the following vehicle parking status results:

[0019] The infrared receiver at the starting end never received infrared light, while the infrared receiver at the ending end continuously received infrared light, which was identified as a vehicle parked at the initial end of the fire lane.

[0020] The infrared receiver at the starting end continues to receive infrared light after being blocked once, and the infrared receiver at the ending end continues to receive infrared light, which is used to identify a vehicle parked in the middle of the fire lane as a no-parking vehicle.

[0021] The infrared receiver at the starting end continues to receive infrared light after being blocked once, while the infrared receiver at the ending end never receives infrared light, thus identifying it as a vehicle parked at the end of the fire lane.

[0022] The infrared receivers at both the starting and ending points failed to receive infrared light, which was interpreted as a vehicle parked in a no-parking zone within a private parking space in the community.

[0023] S3. Based on the vehicle parking status results, vehicle parking prohibition feedback information is provided, and the vehicle parking prohibition feedback information is transmitted to the monitoring image feedback unit.

[0024] As a further improvement to this technical solution, the method for the scanning and recognition unit to plan its movement route includes the following steps:

[0025] S10. Determine the driving direction of the illegally parked vehicle based on the order of responses from the endpoint and the starting point.

[0026] S20. Based on the direction of travel of the illegally parked vehicle, the opposite direction of travel of the illegally parked vehicle shall be used as the direction of movement of the mobile camera.

[0027] S30, the planned unit movement length, is the distance the mobile camera moves each time, and a vehicle shot is taken;

[0028] S40 records the vehicle image information captured each time and feeds it back to the vehicle information entry database.

[0029] As a further improvement to this technical solution, the method for the computer vision determination module to determine the illegally parked status of monitored vehicles includes the following steps:

[0030] S100: Obtain the parking status of permitted parking areas around the no-parking zone, and locate the position of each permitted parking area that appears;

[0031] S200. Determine the straight-line distance between each permitted parking area and the current vehicle, and take the permitted parking area with the closest straight-line distance as the intended parking area for the current vehicle.

[0032] S300: Set the interval shooting time of the fixed camera equipment, and periodically obtain monitoring images of the intended parking area through the fixed camera equipment;

[0033] S400. When a single intended stop area is identified, the interval width of the single intended stop area is measured using a fixed camera device. Set the allowable parking area interval width for abnormal situations. ;

[0034] When the single intended docking area spacing is allowed Smaller than the allowable docking area spacing width At that time, the single intended stop area will not be considered as a stop area;

[0035] When the single intended docking area spacing is allowed Not less than the allowable spacing width of abnormal parking areas At that time, the single intended stop area is considered as the stop area, and a stop time threshold is set. When the fixed camera equipment exceeds the docking time threshold If no surveillance image of a vehicle stopping at a single intended stopping area is detected, the vehicle information is identified by the scanning and recognition unit. This process is repeated when the fixed camera exceeds a stopping time threshold. When a monitoring image shows a vehicle parked in a single intended parking area, it is not necessary to identify the vehicle information through the scanning and recognition unit.

[0036] As a further improvement to this technical solution, S400 measures the interval width of a single intended parking area using a fixed camera device. The camera ranging algorithm is used, and its formula is as follows:

[0037] ;

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] ;

[0043] in, Let be the speed of light in air, which is a fixed value. To fix the height of the camera equipment above the ground, The time taken for the fixed camera to project a detection light source to the edge of the docking area and reflect it back to the fixed camera. The straight-line distance from the fixed camera equipment to the farthest edge of a single intended parking area. The time taken for a fixed camera to project a detection light source to the farthest edge of a single intended docking area and reflect it back to the fixed camera. The straight-line distance from the fixed camera equipment to the nearest edge of a single intended parking area. The time taken for a fixed camera to project a detection light source to the nearest edge of a single intended docking area and reflect it back to the fixed camera. This is the horizontal distance from the edge of the parking area to the farthest edge of a single intended parking area. The horizontal distance from the edge of the parking area to the nearest edge of a single intended parking area.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] This electronic fence monitoring system based on computer vision technology uses an electronic fence deployment module combined with the located no-parking zones in the community to deploy monitoring equipment. It responds to vehicles entering the no-parking zones, provides feedback on images of fixed areas near the no-parking zones, and identifies vehicles continuously parked in the no-parking zones. Based on the location and status of the no-parking zones, monitoring and response equipment are planned to form a monitoring electronic fence for illegally parked vehicles. The system identifies the current location and status of vehicles, determines the illegal parking status of monitored vehicles through a computer vision judgment module, and finally displays the information of illegally parked vehicles in real time through a foreign object intrusion display module, promptly reminding vehicle owners about to leave and preventing congestion in the no-parking zones. Attached Figure Description

[0046] Figure 1 This is a flowchart illustrating the overall structure of the present invention;

[0047] Figure 2 This is a deployment diagram of the no-parking zone monitoring system according to the present invention;

[0048] Figure 3 This is a simulation diagram of the single intended docking area interval width test according to the present invention.

[0049] The meanings of the labels in the diagram are as follows:

[0050] 10. No-parking zone positioning module;

[0051] 20. Community map area planning module;

[0052] 30. Electronic fence deployment module; 310. Response end feedback unit; 320. Monitoring image feedback unit; 330. Scanning and recognition unit;

[0053] 40. Computer vision judgment module;

[0054] 50. Vehicle information is entered into the database;

[0055] 60. Foreign object intrusion into the display module. Detailed Implementation

[0056] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] Please see Figure 1 As shown, an electronic fence monitoring system based on computer vision technology is provided, including a no-parking zone positioning module 10 and a community map area planning module 20. The community map area planning module 20 uses an electronic map to locate the target community and generates a corresponding target community area electronic map based on the geographical structure of the current target community. The no-parking zone positioning module 10 combines the target community area electronic map to locate the permitted parking areas and no-parking areas of the community. It also includes an electronic fence deployment module 30, a computer vision judgment module 40, a vehicle information input database 50, and a foreign object intrusion display module 60.

[0058] Among them, the electronic fence deployment module 30 combines the located no-parking zone of the community with the deployment of monitoring equipment, responds to vehicles entering the no-parking zone of the community, provides feedback on images of fixed areas near the no-parking zone of the community, and identifies information on vehicles that are continuously parked in the no-parking zone of the community.

[0059] The computer vision judgment module 40 combines the response of vehicles entering the no-parking zone of the community with the feedback of images of fixed areas near the no-parking zone of the community to determine the illegal parking status of the monitored vehicles and issue illegal parking status information of the monitored vehicles. It works with the electronic fence deployment module 30 to identify information on vehicles that are continuously parked in the no-parking zone of the community.

[0060] The vehicle information entry database 50 is used to summarize the vehicle information and associated identity information of the community owners. Combined with the identification of vehicles that are continuously parked in the no-parking area of ​​the community, the matched associated identity information is sent to the foreign object intrusion display module 60. The foreign object intrusion display module 60 displays the vehicle information and associated identity information that are continuously parked in the no-parking area of ​​the community in real time.

[0061] In practical use, during the monitoring of no-parking zones in a residential community, the target community is first located using an electronic map through the community map area planning module 20. Based on the geographical structure of the target community, a corresponding electronic map of the target community area is generated. That is, the electronic map is modeled according to the building and road layout of the community to obtain the corresponding electronic map of the community area. Then, the no-parking zone positioning module 10 is used in conjunction with the target community area electronic map to locate the permitted parking areas and no-parking areas of the community. That is, the permitted parking areas and no-parking areas of the community are identified, and the area is divided in conjunction with the target community area electronic map for subsequent deployment of electronic fences.

[0062] In order to obtain the parking status of the no-parking area in real time, the electronic fence deployment module 30 is combined with the located no-parking area of ​​the community to deploy monitoring equipment, respond to vehicles entering the no-parking area of ​​the community, provide feedback on images of fixed areas near the no-parking area of ​​the community, and identify information on vehicles that are continuously parked in the no-parking area of ​​the community. That is, according to the location status of the no-parking area, the monitoring equipment and response equipment are planned to form a monitoring electronic fence to respond to illegally parked vehicles and identify the current location status of the vehicles.

[0063] To determine whether illegally parked vehicles are using no-parking zones for parking work, i.e., parking in permitted parking areas instead of designated no-parking zones, the computer vision judgment module 40 combines the response of vehicles entering the no-parking zone with feedback images of fixed areas near the no-parking zone to determine the illegal parking status of monitored vehicles and issue illegal parking status information. For example, if the fixed area image shows that there are no permitted parking areas near the current no-parking zone, it indicates that vehicles that have been parking in the no-parking zone for a long time do not fall into the above category. In this case, it is necessary to cooperate with the electronic fence deployment module 30 to identify vehicle information that is continuously parked in the no-parking zone of the community, and use the vehicle information database 50 to collect the vehicle information of community owners and their associated identity information. The foreign object intrusion display module 60 displays the vehicle information and associated identity information of vehicles continuously parked in the no-parking zone of the community in real time, improving the accuracy of identifying vehicles parked in the no-parking zone. At the same time, the foreign object intrusion display module 60 displays the vehicle information and associated identity information of vehicles continuously parked in the no-parking zone of the community in real time, and promptly reminds the vehicle owners who are about to leave the vehicle.

[0064] In addition, the electronic fence deployment module 30 includes a response end feedback unit 310, a monitoring image feedback unit 320, and a scanning and recognition unit 330;

[0065] Among them, the response feedback unit 310 is equipped with an infrared recognition device, which is deployed according to the no-parking area and responds to identify the parking status of vehicles in the no-parking area;

[0066] The monitoring image feedback unit 320 is equipped with fixed camera equipment to monitor the vehicle status in the no-parking zone and the parking status in the permitted parking areas around the no-parking zone. It combines the parking status of vehicles in the no-parking zone with the real-time feedback of monitoring image information from the fixed location.

[0067] The scanning and recognition unit 330 is equipped with a mobile camera device, plans a moving route according to the no-parking zone division rules, and identifies vehicle information that is located in the no-parking zone and is parked.

[0068] In practical use, such as Figure 2 As shown, to avoid resource waste caused by continuous monitoring, during vehicle monitoring in no-parking zones, the response feedback unit 310 first uses infrared recognition equipment to identify the parking status of vehicles in the no-parking zones. Specifically, an infrared transmitter emits a laser beam to a receiver. When a vehicle passes between the transmitter and receiver, the infrared beam is blocked, and the receiver cannot receive it, indicating that an outside vehicle has entered the no-parking zone. However, in most cases, vehicles only pass through the no-parking zone. To reduce unnecessary subsequent monitoring, if the infrared recognition at the no-parking zone terminal identifies the vehicle a second time within a specific time range, it indicates that the vehicle only passed through the no-parking zone and no further monitoring is needed. If the vehicle is not identified within a specific time range, it indicates that the vehicle may be parked in the no-parking zone or using the no-parking zone for other purposes. After vehicle adjustments, a fixed camera is configured via the monitoring image feedback unit 320 to monitor the vehicle status in the no-parking zone and the parking status in the permitted parking areas surrounding the no-parking zone. Combined with the parking status of vehicles in the no-parking zone, the fixed-position monitoring image information is fed back in real time. On the one hand, the feedback image information from the fixed position is used in conjunction with the response end feedback unit 310 to determine whether there are illegally parked vehicles in the current no-parking zone. On the other hand, the parking status of vehicles in the permitted parking areas of the no-parking zone is located. For example, if there are vehicles parked in all the permitted parking areas of the no-parking zone, it indicates that the vehicle is not in the vehicle adjustment situation. At this time, it is necessary to identify the no-parking vehicle information. A mobile camera is configured via the scanning and recognition unit 330, and a mobile route is planned according to the no-parking zone division rules to identify the vehicle information located in the no-parking zone and in a parked state, that is, the vehicle's license plate number, appearance, and color, etc., as data information for later display.

[0069] Furthermore, the response feedback unit 310 identifies the types of no-parking zones for vehicle parking status in the no-parking zone, including fixed parking space no-parking zones and fire lane no-parking zones;

[0070] Designated parking no-parking zones: These are the parking conditions of vehicles in private parking spaces within the community.

[0071] No-parking zone in fire lanes: This refers to the parking status of vehicles in fire lanes.

[0072] Because different identification standards apply to different no-parking zones—for example, the area of ​​a fire lane is larger than the area of ​​a private parking space in a residential community—even though two infrared identification devices are installed at the beginning and end of the no-parking zone, both devices will be blocked when a vehicle parks in a private parking space. This does not happen in a fire lane. Therefore, in order to better distinguish between different situations and make correct identification judgments, it is necessary to classify the vehicle parking status for subsequent classification and response processing.

[0073] Furthermore, the method for the response feedback unit 310 to identify the parking status of vehicles in the no-parking zone includes the following steps:

[0074] S1. Identify the type of no-parking zone in the current monitored area by combining the no-parking zones for vehicles;

[0075] S2. Based on the identified no-parking zone type, obtain the corresponding vehicle parking status results, including the following vehicle parking status results:

[0076] The infrared receiver at the starting end never received infrared light, while the infrared receiver at the ending end continuously received infrared light, which was identified as a vehicle parked at the initial end of the fire lane.

[0077] The infrared receiver at the starting end continues to receive infrared light after being blocked once, and the infrared receiver at the ending end continues to receive infrared light, which is used to identify a vehicle parked in the middle of the fire lane as a no-parking vehicle.

[0078] The infrared receiver at the starting end continues to receive infrared light after being blocked once, while the infrared receiver at the ending end never receives infrared light, thus identifying it as a vehicle parked at the end of the fire lane.

[0079] The infrared receivers at both the starting and ending points failed to receive infrared light, which was interpreted as a vehicle parked in a no-parking zone within a private parking space in the community.

[0080] S3. Based on the vehicle parking status results, vehicle parking prohibition feedback information is provided, and the vehicle parking prohibition feedback information is transmitted to the monitoring image feedback unit 320.

[0081] Specifically, the method for the scanning and recognition unit 330 to plan its movement route includes the following steps:

[0082] S10. Determine the driving direction of the illegally parked vehicle based on the order of responses from the endpoint and the starting point.

[0083] S20. Based on the direction of travel of the illegally parked vehicle, the opposite direction of travel of the illegally parked vehicle shall be used as the direction of movement of the mobile camera.

[0084] S30, the planned unit movement length, is the distance the mobile camera moves each time, and a vehicle shot is taken;

[0085] S40. Record the vehicle image information captured each time and feed it back to the vehicle information entry database 50.

[0086] In practical use, during the planning of the mobile camera's movement route, the first step is to determine the direction of travel of the illegally parked vehicle based on the response sequence from the endpoint and the starting point. This involves locating the front and rear positions of the vehicle. Since license plate recognition is required, and to ensure consistent recognition in the same direction, the license plate is identified from the rear of the vehicle. Therefore, the opposite direction of the illegally parked vehicle's movement is used as the mobile camera's movement direction. This allows for the identification of the vehicle's license plate information within the shortest distance. Simultaneously, a unit movement length is planned as the distance the mobile camera moves each time, and a vehicle image is captured. Finally, the vehicle image information captured in each image is recorded and fed back to the vehicle information entry database 50 for later matching of user-associated identity information.

[0087] In addition, the method by which the computer vision determination module 40 determines the illegally parked status of the monitored vehicle includes the following steps:

[0088] S100: Obtain the parking status of permitted parking areas around the no-parking zone, and locate the position of each permitted parking area that appears;

[0089] S200. Determine the straight-line distance between each permitted parking area and the current vehicle, and take the permitted parking area with the closest straight-line distance as the intended parking area for the current vehicle.

[0090] S300: Set the interval shooting time of the fixed camera equipment, and periodically obtain monitoring images of the intended parking area through the fixed camera equipment;

[0091] S400. When a single intended stop area is identified, the interval width of the single intended stop area is measured using a fixed camera device. Set the allowable parking area interval width for abnormal situations. ;

[0092] When the single intended docking area spacing is allowed Smaller than the allowable docking area spacing width At that time, the single intended stop area will not be considered as a stop area;

[0093] When the single intended docking area spacing is allowed Not less than the allowable spacing width of abnormal parking areas At that time, the single intended stop area is considered as the stop area, and a stop time threshold is set. When the fixed camera equipment exceeds the docking time threshold If no surveillance image of a vehicle currently parked in a single intended parking area is detected, the vehicle information is identified by the scanning and recognition unit 330. This process is repeated when the fixed camera exceeds the parking time threshold. When a monitoring image shows a vehicle parked in a single intended parking area, it is not necessary to identify the vehicle information through the scanning and recognition unit 330.

[0094] In determining the illegal parking status of monitored vehicles, the process first involves acquiring the parking status of permitted parking areas surrounding the no-parking zone. The locations of these permitted areas are then identified. Since the distances from different permitted parking areas to the vehicle vary, the straight-line distance between each permitted parking area and the current vehicle is determined. The permitted parking area with the closest straight-line distance is selected as the vehicle's intended parking area. In other words, vehicles in no-parking zones will prioritize the nearest permitted parking area as their intended parking area. To determine whether a vehicle in a no-parking zone will actually park in its intended parking area, fixed camera equipment is used to capture images of the intended parking area at regular intervals. For example, when the feedback monitoring image shows a vehicle parking in the intended parking area, the vehicle's previous activity was in a vehicle adjustment state. However, when there is only one permitted parking area, it is necessary to determine whether the permitted parking area meets the parking requirements. For instance, if a vehicle protrudes from the parking area while parking in adjacent spaces, causing the gap between vehicles in the identified permitted parking areas to become shorter, making it unsuitable for parking, then vehicles in the no-parking zone may have two possibilities: first, they intend to park in the no-parking zone; second, it is uncertain whether the permitted parking area meets the parking length requirements, and they adjust their vehicle position in the no-parking zone. In this case, it is necessary to use fixed camera equipment to measure the interval width of a single intended parking area. Set the allowable parking area interval width for abnormal situations. ;

[0095] When the single intended docking area spacing is allowed Smaller than the allowable docking area spacing width At this time, the single intended stop area is not considered as a stop area; that is, the spacing width of the single intended stop area is... If it is clearly unsuitable for parking and the vehicle owner can visually identify it, indicating that the vehicle is not adjusting its position in the no-parking zone, then feedback needs to be sent to the scanning and recognition unit 330 for vehicle information recognition.

[0096] When the single intended docking area spacing is allowed Not less than the allowable spacing width of abnormal parking areas At that time, the single intended stop area is considered as the stop area, and a stop time threshold is set. When the fixed camera equipment exceeds the docking time threshold If no monitoring image is detected showing a vehicle currently parked in a designated parking area, the vehicle information is identified by the scanning and recognition unit 330. Although the vehicle is adjusting its position in the no-parking zone at this time, prolonged stay in the no-parking zone can still cause congestion. If the fixed camera exceeds the parking time threshold... When a monitoring image shows a vehicle parked in a single intended parking area, it is not necessary to identify the vehicle information through the scanning and recognition unit 330.

[0097] Furthermore, the S400 uses fixed camera equipment to determine the spacing width of a single intended parking area. The camera ranging algorithm is used, and its formula is as follows:

[0098] ;

[0099] ;

[0100] ;

[0101] ;

[0102] ;

[0103] ;

[0104] in, Let be the speed of light in air, which is a fixed value. To fix the height of the camera equipment above the ground, The time taken for the fixed camera to project a detection light source to the edge of the docking area and reflect it back to the fixed camera. The straight-line distance from the fixed camera equipment to the farthest edge of a single intended parking area. The time taken for a fixed camera to project a detection light source to the farthest edge of a single intended docking area and reflect it back to the fixed camera. The straight-line distance from the fixed camera equipment to the nearest edge of a single intended parking area. The time taken for a fixed camera to project a detection light source to the nearest edge of a single intended docking area and reflect it back to the fixed camera. This is the horizontal distance from the edge of the parking area to the farthest edge of a single intended parking area. The horizontal distance from the edge of the parking area to the nearest edge of a single intended parking area.

[0105] Figure 3 As shown, fixed cameras are vertically positioned at the nearest edge of each parking area, with intervals of [width value missing] between each intended parking area. During the calculation process, the monitoring angle of the fixed camera equipment first needs to be adjusted so that it is perpendicular to the edge of the parking area, and the height of the fixed camera equipment above the ground is calculated. This involves projecting a measuring light beam to the edge of the docking area and receiving the reflected light. Since the speed of light in air is constant, the distance can be calculated using the distance formula by determining the time it takes to receive the reflected light. ;

[0106] The monitoring angle of the fixed camera was then adjusted so that it could emit light to the farthest edge of a single intended docking area. Simultaneously, the time taken for the fixed camera to project its detection light source to the farthest edge of the single intended docking area and for the light to reflect back to the fixed camera was recorded. Calculate the straight-line distance from the fixed camera equipment to the farthest edge of the single intended parking area. The Pythagorean theorem is used to obtain the horizontal distance from the edge of the parking area to the farthest edge of a single intended parking area. Calculate the straight-line distance from the fixed camera equipment to the nearest edge of the single intended parking area using the steps described above. Calculate the final single intended stop area interval width. .

[0107] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An electronic fence monitoring system based on computer vision technology, comprising a no-parking zone positioning module (10) and a community map area planning module (20), wherein the community map area planning module (20) uses an electronic map to locate the target community and generates a corresponding target community area electronic map based on the geographical structure of the current target community; the no-parking zone positioning module (10) combines the target community area electronic map to locate the permitted parking areas and no-parking areas for vehicles in the community, characterized in that: It also includes an electronic fence deployment module (30), a computer vision judgment module (40), a vehicle information entry database (50), and a foreign object intrusion display module (60); The electronic fence deployment module (30) combines the located no-parking zone of the community with the deployment of monitoring equipment, responds to vehicles entering the no-parking zone of the community, provides feedback on images of fixed areas near the no-parking zone of the community, and identifies information on vehicles that are continuously parked in the no-parking zone of the community. The electronic fence deployment module (30) includes a response end feedback unit (310), a monitoring image feedback unit (320), and a scanning and recognition unit (330). The response feedback unit (310) is equipped with an infrared recognition device, which is deployed according to the no-parking area and responds to the recognition of the parking status of vehicles in the no-parking area. The monitoring image feedback unit (320) is equipped with a fixed camera to monitor the vehicle status in the no-parking zone and the parking status in the permitted parking areas around the no-parking zone. Combined with the vehicle parking status in the no-parking zone, it provides real-time feedback of fixed-location monitoring image information. The scanning and recognition unit (330) is equipped with a mobile camera device, plans a moving route according to the no-parking zone division rules, and identifies vehicle information located in the no-parking zone and in a parked state; The method for the response feedback unit (310) to identify the parking status of vehicles in the no-parking zone includes the following steps: S1. Identify the type of no-parking zone in the current monitored area by combining the no-parking zones for vehicles; S2. Based on the identified no-parking zone type, obtain the corresponding vehicle parking status results, including the following vehicle parking status results: The infrared receiver at the starting end never received infrared light, while the infrared receiver at the ending end continuously received infrared light, which was identified as a vehicle parked at the initial end of the fire lane. The infrared receiver at the starting end continues to receive infrared light after being blocked once, and the infrared receiver at the ending end continues to receive infrared light, which is used to identify a vehicle parked in the middle of the fire lane as a no-parking vehicle. The infrared receiver at the starting end continues to receive infrared light after being blocked once, while the infrared receiver at the ending end never receives infrared light, thus identifying it as a vehicle parked at the end of the fire lane. The infrared receivers at both the starting and ending points failed to receive infrared light, which was interpreted as a vehicle parked in a no-parking zone within a private parking space in the community. S3. Based on the vehicle parking status results, the vehicle parking prohibition feedback information is transmitted to the monitoring image feedback unit (320). The computer vision judgment module (40) combines the response of vehicles entering the community no-parking zone with the feedback of images of fixed areas near the community no-parking zone to determine the illegal parking status of the monitored vehicles and issue illegal parking status information of the monitored vehicles. It also cooperates with the electronic fence deployment module (30) to identify information on vehicles that are continuously parked in the community no-parking zone. The method by which the computer vision determination module (40) determines the illegally parked status of the monitored vehicle includes the following steps: S100: Obtain the parking status of permitted parking areas around the no-parking zone, and locate the position of each permitted parking area that appears; S200. Determine the straight-line distance between each permitted parking area and the current vehicle, and take the permitted parking area with the closest straight-line distance as the intended parking area for the current vehicle. S300: Set the interval shooting time of the fixed camera equipment, and periodically obtain monitoring images of the intended parking area through the fixed camera equipment; S400. When a single intended stop area is identified, the interval width of the single intended stop area is measured using a fixed camera device. Set the allowable parking area interval width for abnormal situations. ; When the single intended docking area spacing is allowed Smaller than the allowable docking area spacing width At that time, the single intended stop area will not be considered as a stop area; When the single intended docking area spacing is allowed Not less than the allowable spacing width of abnormal parking areas At that time, the single intended stop area is considered as the stop area, and a stop time threshold is set. When the fixed camera equipment exceeds the docking time threshold If no monitoring image of the current vehicle stopping at a single intended stopping area is detected, the vehicle information is identified by the scanning and recognition unit (330). When the fixed camera exceeds the stopping time threshold... When a monitoring image of a vehicle parked in a single intended parking area is detected, it is not necessary to identify vehicle information through the scanning and recognition unit (330); The vehicle information entry database (50) is used to summarize the vehicle information and associated identity information of the community owners, and combined with the identification of vehicles that are continuously parked in the no-parking area of ​​the community, the matched associated identity information is sent to the foreign object intrusion display module (60), and the foreign object intrusion display module (60) displays the vehicle information and associated identity information that are continuously parked in the no-parking area of ​​the community in real time.

2. The electronic fence monitoring system based on computer vision technology according to claim 1, characterized in that: The response feedback unit (310) identifies the types of no-parking zones for the vehicle parking status in the no-parking zone, including fixed parking space no-parking zones and fire lane no-parking zones. Designated parking no-parking zones: These are the parking conditions of vehicles in private parking spaces within the community. No-parking zone in fire lanes: This refers to the parking status of vehicles in fire lanes.

3. The electronic fence monitoring system based on computer vision technology according to claim 1, characterized in that: The method for the scanning and recognition unit (330) to plan a movement route includes the following steps: S10. Determine the driving direction of the illegally parked vehicle based on the order of responses from the endpoint and the starting point. S20. Based on the direction of travel of the illegally parked vehicle, the opposite direction of travel of the illegally parked vehicle shall be used as the direction of movement of the mobile camera. S30, the planned unit movement length, is the distance the mobile camera moves each time, and a vehicle shot is taken; S40. Record the vehicle image information captured each time and feed it back to the vehicle information entry database (50).

4. The electronic fence monitoring system based on computer vision technology according to claim 1, characterized in that: The S400 measures the interval width of a single intended parking area using a fixed camera device. The camera ranging algorithm is used, and its formula is as follows: ； ； ； ； ； ； in, Let be the speed of light in air, which is a fixed value. To fix the height of the camera equipment above the ground, The time taken for the fixed camera to project a detection light source to the edge of the docking area and reflect it back to the fixed camera. The straight-line distance from the fixed camera equipment to the farthest edge of a single intended parking area. The time taken for a fixed camera to project a detection light source to the farthest edge of a single intended docking area and reflect it back to the fixed camera. The straight-line distance from the fixed camera equipment to the nearest edge of a single intended parking area. The time taken for a fixed camera to project a detection light source to the nearest edge of a single intended docking area and reflect it back to the fixed camera. This is the horizontal distance from the edge of the parking area to the farthest edge of a single intended parking area. The horizontal distance from the edge of the parking area to the nearest edge of a single intended parking area.

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