CN112215234A - Method for checking information of vehicle personnel at road interface - Google Patents
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Abstract
The invention discloses a method for checking vehicle personnel information of a road interface, which comprises the steps of detecting vehicle types and positioning vehicle positions through a panoramic camera, identifying license plates, comparing license plate information with vehicle type information, extracting the vehicle types and the vehicle positions to estimate vehicle window positions, moving a pulley, rotating a holder and detecting vehicle windows, and comparing human faces. The position of the camera II is adjusted in real time in the car window detection and face comparison processes, so that the shot picture is more accurate, and the problem that the face cannot be shot by the camera is avoided.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a method for checking information of vehicle personnel at a road interface.
Background
Vehicle personnel information checking at road gates is an important component of social security, safety and control, but is accompanied by a plurality of problems, such as low vehicle personnel information checking efficiency and road congestion caused by the fact that when the positions of vehicles and people are not appropriate, cameras cannot shoot the vehicles and people.
Patent CN107256394A "driver information and vehicle information verification method, device and system" discloses a driver information and vehicle information verification method, device and system, relating to the technical field of human-vehicle verification, the method comprises: determining vehicle area images of a plurality of road traffic monitoring images; respectively carrying out face recognition and vehicle recognition on the vehicle area image to obtain face information of a driver and vehicle information; respectively comparing the face information and the vehicle information of the driver with the existing vehicle/driver database information to obtain driver verification information and vehicle verification information; and checking the man-vehicle information according to the driver checking information and the vehicle checking information, and inputting the result of the man-vehicle information checking into a vehicle/driver database. The method can correlate the vehicle information with the driver information through checking the driver information and the vehicle information, so that a vehicle/driver information database is more perfect, more comprehensive information is provided in case investigation, and the police case handling efficiency is improved. However, the patent checking device is not provided with a roller and a camera holder, when the positions of the vehicle and the people are not proper, the camera cannot shoot, so that the information checking efficiency of the vehicle personnel is low, and the road is congested.
Patent CN109446767A "vehicle personnel identity security verification method, device and system" discloses a vehicle personnel identity security verification method, a mobile terminal, a server, an electronic device and a system. The method comprises the following steps: responding to a triggered event of the near field communication device, and acquiring vehicle personnel identity information; and sending the vehicle personnel identity information to a server, wherein the vehicle personnel identity information is used for verifying by the server, and sending a verification passing result to a vehicle associated with the vehicle personnel identity information after the vehicle personnel identity information passes the verification, and the verification passing result is used for vehicle verification by the vehicle. The invention uses the near field communication device to trigger the mobile terminal to obtain the identity information of the vehicle personnel, and the identity information is sent to the vehicle by the server, thereby expanding the application range of the NFC mobile phone key and ensuring that the mobile phone which does not support the NFC read-write function can also carry out identity authentication; meanwhile, the safety of the NFC mobile phone key is enhanced, the identity of the mobile phone and the identity of the user are determined, and the operation flow of identity verification by using the mobile phone APP at present is simplified. However, the patent does not use the process of collecting the face information data, which can cause the phenomenon of identity embezzlement and falsifying.
The patent CN111354121A people and vehicles mixed checking system and method for the intelligent checking station discloses a people and vehicles mixed checking method and system for the intelligent checking station, relating to the technical field of security check, the technical scheme is that the system comprises a checking channel, one end of the checking channel is a vehicle inlet end, the other end of the checking channel is a vehicle outlet end, the vehicle outlet end is provided with a signal lamp and a gate machine, a checking area is arranged between the vehicle inlet end and the gate machine, one side of the gate machine is provided with vehicle snapshot cameras, and two sides of the checking area are symmetrically provided with face snapshot camera groups; window body lighting equipment for irradiating the side window of the vehicle to be detected is further arranged on two sides of the verification area; and a falling position detection sensor for detecting the position of the vehicle is arranged on one side of the verification area close to the gate machine. The invention has the beneficial effects that: according to the invention, by means of vehicle acquisition, face acquisition, recognition comparison, multi-device cooperation and the like, under the condition of no participation of workers, drivers and passengers are intelligently guided to autonomously complete human-vehicle verification in the vehicle in various modes such as characters, sound, signal lamps and the like, and are compared and early warned with a specific comparison library. No pulley gear among this patent verification system, the camera does not have the cloud platform, when the camera is grabbed and can not shoot the people's face, can lead to vehicle personnel information to check efficiency slow, has increased the human cost.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the problem that the face of a person cannot be shot by the camera can occur during the information check of vehicle personnel at the road bayonet, so that the efficiency of the information check of the vehicle personnel is low, and the labor cost is increased.
Aiming at the technical problem, the invention provides a method for checking the information of vehicle personnel at a road interface, which comprises the following steps:
s01), the vehicle enters a detection area, and the camera I detects the vehicle type and positions the vehicle;
s02), recognizing the license plate, comparing the license plate information with the vehicle type information, if the comparison is passed, estimating the vehicle window position according to the vehicle type and the vehicle position, and if the comparison is not passed, entering the step S06;
s03), changing the position of the camera II according to the estimated car window position, and carrying out car window detection;
s04), judging whether the vehicle window is opened or not according to the vehicle window detection result, if the vehicle window is opened, continuing to adjust the position of the camera II to acquire the human face information, and if the vehicle window is not opened, entering the step S06;
s05), uploading the collected face information to a cloud database, comparing the face information with the face information stored in the cloud database, and if the comparison is successful, finishing the information check of the vehicle personnel and allowing the vehicle personnel to pass; if the comparison fails, go to step S06;
s06), the alert request is manually processed.
Furthermore, the camera I is a panoramic camera and is positioned above the detection area.
Furthermore, the cameras II are a group of cameras and are positioned around the detection area; each camera II is connected with a pulley and a cloud platform, and the position of the camera II is changed through the pulley and the cloud platform.
Further, a yolov4 deep learning detection frame is adopted to detect vehicle types and position vehicle positions, vehicle pictures of various vehicle types are used in advance to mark the yolov4 deep learning detection frame, vehicle regions and vehicle type categories are marked, then a yolov4 target detection frame is used for training, and an optimal model is obtained to perform vehicle type detection and vehicle position positioning.
Further, an OCR information recognition model is adopted to recognize the license plate, and vehicle type information in a database is compared after recognition is completed.
Further, estimating the position of the vehicle window by adopting a yolov4 target detection algorithm, wherein the final output result comprises position information coordinates and vehicle type class information of the vehicle, specifically, center coordinates of the vehicle, the length and the width of a vehicle image and vehicle type information of the vehicle; the specific process of estimating the window position is as follows:
s21), finding the vehicle type information stored originally in the database, and setting the window at the m proportion of the vehicle length, wherein the window position stored originally is (x + w/2, y + h/2-mh), wherein (x, y) are the central coordinates of the vehicle, and w, h are the length and width of the vehicle image;
s22), if the proportional relationship between the scene of the original stored image and the actual detection scene image is n, the actual window position of the actual detection scene image is (n (x + w/2), n (y + h/2-mh)).
The invention has the beneficial effects that: the invention detects the vehicle type and positions the vehicle position through the panoramic camera, identifies the license plate, compares the license plate information with the vehicle type information, extracts the vehicle type and the vehicle position to estimate the vehicle window position, moves the pulley, rotates the holder vehicle window to detect, and compares the human face. The position of the camera II is adjusted in real time in the car window detection and face comparison processes, so that the shot picture is more accurate, and the problem that the face cannot be shot by the camera is avoided.
Drawings
FIG. 1 is a schematic illustration of a vehicle in a detection zone;
FIG. 2 is a flow chart of the present method;
in the figure: 1 is a panoramic camera, 2, 3, 4 and 5 are pulleys, and 6, 7, 8 and 9 are cloud platforms.
Detailed Description
The invention is further described with reference to the accompanying drawings and the detailed description.
Example 1
The embodiment discloses a method for checking vehicle personnel information at a road interface, which comprises the following steps as shown in fig. 2:
s01), the vehicle enters a detection area, and the camera I detects the vehicle type and positions the vehicle;
FIG. 1 is a schematic diagram of a vehicle in a detection area, the detection area is provided with a camera I and a camera II, the camera I is a panoramic camera and is located above the detection area, the camera II is a group of cameras, and in the embodiment, the cameras are set to be 4 and are respectively located around the detection area. Every camera II all is connected with pulley and cloud platform, through removing pulley and cloud platform, can change camera II's position, is convenient for accurately shoot in subsequent door window detection and face identification.
In the embodiment, the yolov4 deep learning detection frame is adopted to detect the vehicle type and position the vehicle, vehicle pictures of various vehicle types are used in advance to mark the yolov4 deep learning detection frame, the vehicle region and the vehicle type category are marked, then the yolov4 target detection frame is used for training, and the optimal model is obtained to perform vehicle type detection and vehicle position positioning.
S02), recognizing the license plate, comparing the license plate information with the vehicle type information, if the comparison is passed, estimating the vehicle window position according to the vehicle type and the vehicle position, and if the comparison is not passed, entering the step S06;
in the embodiment, an OCR information recognition model is adopted to recognize the license plate, and the vehicle type information in the database is compared after recognition.
Estimating the position of a vehicle window by adopting a yolov4 target detection algorithm, wherein the final output result comprises the position information coordinates and the vehicle type class information of the vehicle, specifically the center coordinates of the vehicle, the length and the width of the vehicle image and the vehicle type information of the vehicle; the specific process of estimating the window position is as follows:
s21), finding the vehicle type information stored originally in the database, and setting the window at the m proportion of the vehicle length, wherein the window position stored originally is (x + w/2, y + h/2-mh), wherein (x, y) are the central coordinates of the vehicle, and w, h are the length and width of the vehicle image;
s22), if the proportional relationship between the scene of the original stored image and the actual detection scene image is n, the actual window position of the actual detection scene image is (n (x + w/2), n (y + h/2-mh)).
S03), changing the position of the camera II according to the estimated car window position, and carrying out car window detection;
s04), judging whether the vehicle window is opened or not according to the vehicle window detection result, if the vehicle window is opened, continuing to adjust the position of the camera II to acquire the human face information, and if the vehicle window is not opened, entering the step S06;
s05), uploading the collected face information to a cloud database, comparing the face information with the face information stored in the cloud database, and if the comparison is successful, finishing the information check of the vehicle personnel and allowing the vehicle personnel to pass; if the comparison fails, go to step S06;
s06), the alert request is manually processed.
The invention detects the vehicle type and positions the vehicle position through the panoramic camera, identifies the license plate, compares the license plate information with the vehicle type information, extracts the vehicle type and the vehicle position to estimate the vehicle window position, moves the pulley, rotates the holder vehicle window to detect, and compares the human face. The position of the camera II is adjusted in real time in the car window detection and face comparison processes, so that the shot picture is more accurate, and the problem that the face cannot be shot by the camera is avoided.
The foregoing description is only for the basic principle and the preferred embodiments of the present invention, and modifications and substitutions by those skilled in the art are included in the scope of the present invention.
Claims (6)
1. A method for checking information of vehicle personnel at a road interface is characterized by comprising the following steps: the method comprises the following steps:
s01), the vehicle enters a detection area, and the camera I detects the vehicle type and positions the vehicle;
s02), recognizing the license plate, comparing the license plate information with the vehicle type information, if the comparison is passed, estimating the vehicle window position according to the vehicle type and the vehicle position, and if the comparison is not passed, entering the step S06;
s03), changing the position of the camera II according to the estimated car window position, and carrying out car window detection;
s04), judging whether the vehicle window is opened or not according to the vehicle window detection result, if the vehicle window is opened, continuing to adjust the position of the camera II to acquire the human face information, and if the vehicle window is not opened, entering the step S06;
s05), uploading the collected face information to a cloud database, comparing the face information with the face information stored in the cloud database, and if the comparison is successful, finishing the information check of the vehicle personnel and allowing the vehicle personnel to pass; if the comparison fails, go to step S06;
s06), the alert request is manually processed.
2. The method for checking the vehicle personnel information at the road intersection according to claim 1, wherein: the camera I is a panoramic camera and is positioned above the detection area.
3. The method for checking the vehicle personnel information at the road intersection according to claim 1, wherein: the cameras II are a group of cameras and are positioned around the detection area; each camera II is connected with a pulley and a cloud platform, and the position of the camera II is changed through the pulley and the cloud platform.
4. The method for checking the vehicle personnel information at the road intersection according to claim 1, wherein: the yolov4 deep learning detection frame is adopted to detect vehicle types and position vehicle positions, vehicle pictures of various vehicle types are used in advance to mark the yolov4 deep learning detection frame, vehicle regions and vehicle type categories are marked, then the yolov4 target detection frame is used for training, and the optimal model is obtained to perform vehicle type detection and vehicle position positioning.
5. The method for checking the vehicle personnel information at the road intersection according to claim 1, wherein: and recognizing the license plate by adopting an OCR information recognition model, and comparing the recognized vehicle type information in the heel database.
6. The method for checking the vehicle personnel information at the road intersection according to claim 1, wherein: estimating the position of a vehicle window by adopting a yolov4 target detection algorithm, wherein the final output result comprises the position information coordinates and the vehicle type class information of the vehicle, specifically the center coordinates of the vehicle, the length and the width of the vehicle image and the vehicle type information of the vehicle; the specific process of estimating the window position is as follows:
s21), finding the vehicle type information stored originally in the database, and setting the window at the m proportion of the vehicle length, wherein the window position stored originally is (x + w/2, y + h/2-mh), wherein (x, y) are the central coordinates of the vehicle, and w, h are the length and width of the vehicle image;
s22), if the proportional relationship between the scene of the original stored image and the actual detection scene image is n, the actual window position of the actual detection scene image is (n (x + w/2), n (y + h/2-mh)).
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113010544A (en) * | 2021-04-28 | 2021-06-22 | 昭通亮风台信息科技有限公司 | AR augmented reality-based charging auditing method and system |
| CN113674467A (en) * | 2021-08-27 | 2021-11-19 | 成都中科大旗软件股份有限公司 | Park entering management system for travel driving |
| CN113822165A (en) * | 2021-08-25 | 2021-12-21 | 中通服公众信息产业股份有限公司 | Method for detecting vehicle window state of road bayonet and counting persons in vehicle |
| CN114255600A (en) * | 2022-01-26 | 2022-03-29 | 杭州海康威视数字技术股份有限公司 | Parking detection method, parking detection equipment and storage medium |
| CN114333329A (en) * | 2022-01-26 | 2022-04-12 | 杭州海康威视数字技术股份有限公司 | Parking detection method, parking detection equipment and storage medium |
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| CN114770547A (en) * | 2022-05-13 | 2022-07-22 | 安徽对称轴智能安全科技有限公司 | Epidemic prevention mechanical arm and path planning and epidemic prevention detection method |
| CN118038424A (en) * | 2024-04-15 | 2024-05-14 | 盛视科技股份有限公司 | Quick clearance checking method for vehicle |
| CN118038424B (en) * | 2024-04-15 | 2024-07-02 | 盛视科技股份有限公司 | Quick clearance checking method for vehicle |
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Application publication date: 20210112 |