CN110660226A - Method, system and equipment for detecting vehicle safety standard and storage device - Google Patents
Method, system and equipment for detecting vehicle safety standard and storage device Download PDFInfo
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- CN110660226A CN110660226A CN201911046290.2A CN201911046290A CN110660226A CN 110660226 A CN110660226 A CN 110660226A CN 201911046290 A CN201911046290 A CN 201911046290A CN 110660226 A CN110660226 A CN 110660226A
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Abstract
The application discloses a method, a system, equipment and a storage device for detecting vehicle safety specifications. The detection method of the vehicle safety standard comprises the following steps: acquiring a front image and a side image of a vehicle passing through a detection area; acquiring vehicle information of the vehicle according to the front image and the side image; and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information. According to the scheme, whether the vehicle meets the regulation of vehicle safety management or not can be detected.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a method, a system, a device, and a storage apparatus for detecting vehicle safety regulations.
Background
Along with the continuous development of the logistics park, unsafe and irregular behaviors of vehicles in the logistics park are increasingly active, such as illegal vehicle modification, mismatching of people and vehicles, overspeed and overrun and the like. On one hand, the unsafe and irregular behaviors of the vehicles can seriously damage the service life of roads in the logistics park, the maintenance pressure of the roads is increased, and more importantly, the occurrence of vehicle accidents in the logistics park can be greatly increased due to the unsafe and irregular behaviors of the vehicles.
Currently, the detection of vehicle safety regulations mostly adopts a method of combining Radio Frequency Identification (RFID) and a processor. The radio frequency identification technology is an automatic identification and data acquisition technology based on a wireless technology. Although the technology is applied to the field of vehicle detection, all irregular behaviors cannot be detected, and the requirement on hardware equipment is high.
Disclosure of Invention
The technical problem mainly solved by the application is to provide a method, a system, equipment and a storage device for detecting vehicle safety regulations, which can detect whether a vehicle conforms to the regulations of vehicle safety management.
In order to solve the above problem, a first aspect of the present application provides a method for detecting a vehicle safety specification, the method comprising: acquiring a front image and a side image of a vehicle passing through a detection area; acquiring vehicle information of the vehicle according to the front image and the side image; and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information.
In order to solve the above problems, a second aspect of the present application provides a detection system for a vehicle safety code, the detection system comprising: the first image acquisition device is positioned on the side of the initial area of the detection area and used for acquiring a side image of the vehicle when the vehicle enters the initial area of the detection area; a second image acquisition device located behind an end region of the detection region, the second image acquisition device being configured to acquire a frontal image of the vehicle when the vehicle reaches the end region of the detection region; a detection apparatus coupled to the first and second image acquisition devices, respectively, the detection apparatus to: acquiring vehicle information of the vehicle according to the front image and the side image; and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information.
To solve the above problem, a third aspect of the present application provides a detection device of a vehicle safety specification, the detection device including a communication circuit, a memory, and a processor coupled to each other; the communication circuit is used for receiving the vehicle image acquired by the image acquisition device; the processor is used for executing the program data stored in the memory to realize the detection method of the vehicle safety standard of the first aspect.
In order to solve the above problem, a fourth aspect of the present application provides a storage device storing program data executable by a processor, the program data being for implementing the method for detecting a vehicle safety specification of the first aspect.
The invention has the beneficial effects that: different from the situation of the prior art, in the process that the vehicle passes through the detection area, the front image and the side image of the vehicle are obtained by firstly obtaining the images from the front and the side of the vehicle, and then the vehicle information of the vehicle is obtained according to the front image and the side image of the vehicle, so that whether the vehicle meets the regulation of vehicle safety management or not can be confirmed according to the vehicle information, and various unsafe and irregular behaviors of the vehicle can be detected.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a first embodiment of a method for detecting vehicle safety codes according to the present application;
FIG. 2 is a schematic flow chart diagram illustrating a second embodiment of a method for detecting vehicle safety codes according to the present application;
FIG. 3 is a schematic flow chart diagram illustrating a third embodiment of a method for detecting vehicle safety codes according to the present application;
FIG. 4 is a flowchart illustrating an embodiment of step S302 in FIG. 3;
FIG. 5 is a schematic flow chart of another embodiment of step S302 in FIG. 3;
FIG. 6 is a schematic flow chart diagram illustrating a fourth embodiment of a method for detecting vehicle safety codes according to the present application;
FIG. 7 is a schematic flow chart diagram illustrating a fifth embodiment of a method for detecting vehicle safety codes according to the present application;
FIG. 8 is a schematic flow chart diagram illustrating a sixth embodiment of a method for detecting vehicle safety codes according to the present application;
FIG. 9 is a schematic diagram of an embodiment of a vehicle safety code detection system according to the present application;
FIG. 10 is a schematic diagram of an embodiment of a vehicle safety code detection device according to the present application;
FIG. 11 is a schematic structural diagram of another embodiment of a vehicle safety code detection device according to the present application;
FIG. 12 is a schematic structural diagram of an embodiment of a memory device according to the present application.
Detailed Description
The following describes in detail the embodiments of the present application with reference to the drawings attached hereto.
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, interfaces, techniques, etc. in order to provide a thorough understanding of the present application.
The terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship. Further, the term "plurality" herein means two or more than two.
Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of a method for detecting vehicle safety regulations according to the present application. The detection method of the vehicle safety standard in the embodiment comprises the following steps:
s101: a frontal image and a lateral image of a vehicle passing through a detection area are acquired.
S102: and acquiring the vehicle information of the vehicle according to the front image and the side image.
S103: and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information.
With the popularization and application of vehicles, the vehicles bring convenience to people for work and life, but the increase of the vehicles increases the vehicle safety problems, such as vehicle violation problems, vehicle driving safety problems, vehicle overrun and the like. Taking a logistics park as an example, the logistics park is a place where various logistics facilities and different types of logistics enterprises are arranged in a spatially centralized manner in a region where logistics operations are concentrated, and is also a gathering point of the logistics enterprises with a certain scale and various service functions, so that the logistics park has higher requirements on vehicle safety management than general roads and places, and the safety management of vehicles in the logistics park is very important. Therefore, a detection area can be set on the road of the logistics park, when the vehicle passes through the detection area, the front image and the side image of the vehicle passing through the detection area can be acquired, and then the vehicle information of the vehicle can be obtained according to the front image and the side image of the vehicle, for example, the external contour size information of the vehicle, the installation information of the protective device of the vehicle, the identity information of the vehicle and the like can be acquired; and then, whether the vehicle conforms to relevant regulations of vehicle safety management can be confirmed according to the acquired vehicle information, for example, whether the vehicle is overlong, superwide and supertall can be judged, and when the vehicle is a truck or a trailer, whether the vehicle is provided with a protective device, a reflective mark and the like according to the relevant regulations can also be judged.
In this embodiment, in the process that the vehicle passes through the detection area, the front image and the side image of the vehicle are obtained by obtaining the images from the front and the side of the vehicle, and then the vehicle information of the vehicle is obtained according to the front image and the side image of the vehicle, so that whether the vehicle meets the regulations of vehicle safety management can be determined according to the vehicle information, and various unsafe and irregular behaviors of the vehicle can be detected.
Further, the detection area is provided with a first image acquisition device and a second image acquisition device; the step S101 specifically includes: when it is detected that the vehicle passes through the detection area, a side image of the vehicle is acquired by the first image acquisition device and a front image of the vehicle is acquired by the second image acquisition device. It is to be understood that the first image acquisition device and the second image acquisition device of the present application may be cameras; the method comprises the steps that a first image acquisition device is arranged on the side of a detection area, and when a vehicle passes through the detection area, a side image of the vehicle can be acquired through the first image acquisition device; likewise, when the second image capturing device is disposed in front of the detection area, when the vehicle passes through the detection area and travels toward the second image capturing device, the image of the front of the vehicle can be captured by the second image capturing device.
In an embodiment, before step S102, the method for detecting the vehicle safety regulations further includes: and filtering the front image and the side image. At this time, step S102 specifically includes: and acquiring the vehicle information of the vehicle according to the processed front image and the processed side image. It can be understood that, in reality, digital images are often affected by interference of imaging equipment and external environmental noise during digitalization and transmission, and therefore, vehicle images acquired by the image acquisition device may be noisy images or noisy images, which may interfere with vehicle information acquired according to front images and side images, and further affect accuracy of final vehicle compliance with vehicle safety management regulations; in practical applications, there may be various noises generated in transmission or quantization, so that before the vehicle information of the vehicle is acquired from the front image and the side image, the acquired front image and side image need to be filtered to perform noise elimination and correction processing on the image, and then the vehicle information of the vehicle is acquired from the filtered front image and processed side image. For example, the acquired front image and the acquired side image may be filtered by a median filtering method based on a threshold, it can be understood that the change between pixels of adjacent points in the vehicle image is continuous, and a sudden change of pixels between adjacent points rarely occurs except for an edge region, so that a flat detail region, an edge region, and a noise point may exist in the vehicle image acquired by the image acquisition device, where the noise point is a point in the non-detail region where a sudden change of pixels occurs with the adjacent points. The threshold-based median filtering method is an existing technical solution, and is not the invention point of the present invention, and is not limited herein.
Referring to fig. 2, fig. 2 is a schematic flow chart of a second embodiment of the vehicle safety regulation detection method according to the present application. Unlike the first embodiment of the detection method of the vehicle safety regulations, in the present embodiment, the vehicle information of the vehicle includes speed information of the vehicle; the first image acquisition device is located at the starting position of the detection area, and the second image acquisition device is located at the end position of the detection area. The detection method of the vehicle safety standard in the embodiment comprises the following steps:
s201: when it is detected that the vehicle enters the start position of the detection area, a side image of the vehicle is acquired by the first image acquisition device.
S202: when it is detected that the vehicle reaches the end area of the detection area, a frontal image of the vehicle is acquired by the second image acquisition means.
It can be understood that the first image acquiring device is arranged at the starting position of the detection area, and since the first image acquiring device is positioned at the side of the detection area, when the vehicle enters the starting position of the detection area, the side image of the vehicle can be acquired through the first image acquiring device; and the second image acquisition device is arranged at the end position of the detection area, and the second image acquisition device is positioned in the front of the detection area, so when the vehicle travels towards the second image acquisition device and reaches the end area of the detection area, the front image of the vehicle can be acquired by the second image acquisition device.
S203: a time difference between a first time when the first image acquisition device acquires the side image and a second time when the second image acquisition device acquires the front image is determined.
S204: and obtaining the speed information of the vehicle according to the time difference and the distance between the starting position and the end position.
S205: and confirming whether the vehicle is overspeed or not according to the speed information of the vehicle.
It is understood that when the vehicle enters the start position of the detection area, the side image of the vehicle is acquired by the first image acquisition device, the first time when the side image is acquired is T1, then the vehicle continues to travel from the start position of the detection area toward the second image acquisition device and reaches the end area of the detection area, and then the front image of the vehicle is acquired by the second image acquisition device, the second time when the front image is acquired is T2, so that the time difference T2-T1 between the second time and the first time is the time taken for the vehicle to travel from the start position of the detection area to the end area of the detection area, and the speed information of the vehicle can be obtained according to the time difference T2-T1 and the distance between the start position and the end position. Further, it is possible to confirm whether or not the traveling speed of the vehicle exceeds the relevant regulation for vehicle safety management.
Referring to fig. 3, fig. 3 is a schematic flow chart of a third embodiment of a method for detecting vehicle safety regulations according to the present application. Unlike the first embodiment of the detection method of the vehicle safety regulations, in the present embodiment, the vehicle information of the vehicle includes actual contour information of the vehicle. The detection method of the vehicle safety standard in the embodiment comprises the following steps:
s301: when it is detected that the vehicle passes through the detection area, a side image of the vehicle is acquired by the first image acquisition device and a front image of the vehicle is acquired by the second image acquisition device.
S302: and obtaining pixel outline information of the vehicle according to the front image and the side image, and converting the pixel outline information into actual outline information.
S303: and confirming whether the vehicle has the profile overrun according to the actual profile information of the vehicle.
It can be understood that the side image of the vehicle acquired by the first image acquiring device includes side contour information of the vehicle, and the front image of the vehicle acquired by the second image acquiring device includes front contour information of the vehicle, so that pixel contour information of the vehicle can be acquired according to the front image and the side image, and then the pixel contour information is converted into actual contour information, and further whether the contour of the vehicle exceeds the limit can be determined according to the actual contour information of the vehicle, such as whether the vehicle is over-long, over-wide or over-high.
Referring to fig. 4, fig. 4 is a flowchart illustrating an embodiment of step S302 in fig. 3. In an embodiment, the step S302 may specifically include:
s401: and respectively carrying out edge segmentation on the front image and the side image, and extracting to obtain a primary extracted image of the vehicle.
S402: and filtering the background edge in the preliminarily extracted image to obtain a binary image of the vehicle.
In the vehicle image, the edge information of the image is the important information content of the vehicle contour, and the acquired front image and the acquired side image are subjected to filtering processing, so that the noise of a non-detail area is filtered, and the detail area of the vehicle and the edge area of the vehicle are reserved. It can be understood that the extracted preliminary extracted image of the vehicle generally contains some background edges, and then the background edges in the preliminary extracted image need to be further filtered, so that a binary image of the extracted vehicle can be obtained.
S403: and positioning the binary image of the vehicle to obtain the pixel profile information of the vehicle through measurement.
After the binary image of the vehicle is obtained, the binary image of the vehicle shows the content of the vehicle as the foreground image, so that after the binary image of the vehicle as the foreground image is positioned in the original image, the pixel profile information of the vehicle in units of pixels in the binary image of the vehicle can be measured, that is, the pixel profile information of the vehicle can be obtained according to the number of pixels in the binary image of the vehicle, and the pixel profile information includes the number of pixels in the longitudinal direction, the number of pixels in the width direction, the number of pixels in the height direction and the like of the vehicle.
S404: and obtaining the actual contour information of the vehicle according to the position information of the first image acquisition device and the second image acquisition device and the pixel contour information of the vehicle.
Since the pixel profile information of the vehicle has been measured, the actual profile information of the vehicle can be obtained from the position information of the first and second image acquisition devices and the pixel profile information of the vehicle. For example, when the first image acquisition device and the second image acquisition device are cameras, the front image and the side image of the vehicle acquired by the cameras are two-dimensional images, and information recorded in the two-dimensional images is converted into three-dimensional image information, the cameras can be calibrated, that is, a camera calibration model of a measurement system can be established, and then the pixel contour information of the vehicle is converted into actual contour information by using a calibration algorithm based on a virtual calibration object.
Referring to fig. 5, fig. 5 is a schematic flowchart illustrating another embodiment of step S302 in fig. 3. In another embodiment, the step S302 specifically includes:
s501: and respectively carrying out edge segmentation on the front image and the side image through a Canny operator, and extracting by using a frame difference method to obtain a primary extracted image of the vehicle.
In this embodiment, for the front image after the filtering processing and the side image after the processing, Canny operator (i.e., Canny edge detection operator, which is a multi-stage edge detection algorithm developed by John f. After the vehicle edge is detected, the vehicle needs to be further extracted from the image, and the subsequent processing on the contour information of the vehicle can be carried out; for example, the preliminary extracted image of the vehicle may be extracted by using a frame difference method, that is, a plurality of frames of images are continuously acquired, and then subtraction is performed to eliminate a static region in the image.
S502: and filtering the background edge in the preliminarily extracted image based on a template pixel voting method to obtain a binary image of the vehicle.
After the preliminary extracted image of the vehicle is obtained, the preliminary extracted image of the vehicle generally contains some background edges, and then the background edges in the preliminary extracted image need to be further filtered, the background edges in the preliminary extracted image can be filtered by a template-pixel voting method, for example, each pixel point in the preliminary extracted image can be scanned by using a window template with a proper size (such as the window size of 5 × 5 or 7 × 7), the number of effective pixel points in the window template with the scanning point as the center is calculated, whether the corresponding center pixel point is the background edge point needing to be filtered is judged according to the number of the effective pixel points in the template and the size of a preset critical number, and after the background edges in the preliminary extracted image are filtered, the binary image of the vehicle can be obtained.
S503: and respectively extracting lane lines on the ground of the detection area in the front image and the side image, and performing primary positioning on the outline of the vehicle according to the lane lines to obtain the largest interested rectangular area.
It is understood that the lane line on the ground of the detection area may be used as a reference for the vehicle position when the vehicle travels in the detection area, and since the first image acquisition device and the second image acquisition device are fixedly disposed, the positions of the lane line in the front image and the side image of the vehicle acquired by the first image acquisition device and the second image acquisition device are also fixed, so that the rectangular area of maximum interest may be obtained in the vehicle image according to the lane line, and then the outline of the vehicle may be preliminarily located, that is, the outline of the vehicle is located in the rectangular area of maximum interest. It is understood that after the maximum rectangular region of interest is obtained, only the portion of the maximum rectangular region of interest may be considered for subsequent processing, so that the workload may be reduced.
S504: and taking the maximum interested rectangular area as a pixel plane, and obtaining the minimum interested rectangular area in the pixel plane in a row scanning mode or a column scanning mode.
It will be appreciated that, in the resulting rectangular region of maximum interest, there are both pixels representing the outline of the vehicle, namely, the effective pixel points and the background edge pixel points outside the vehicle outline exist, at the moment, the rectangular area with the maximum interest can be used as the pixel plane, then, judging whether the number of effective pixel points in each row or each column reaches a preset threshold value or not in a pixel plane in a row scanning or column scanning mode, if so, it may be said that the row or column passes through the pixel area of the vehicle, and if not, it is said that the row or column does not pass through the pixel area of the vehicle, thus, all rows and columns of the resulting pixel area through the vehicle can define a rectangular area, this region is the smallest rectangular region of interest in which the outline of the vehicle is located.
S505: and obtaining the pixel outline information of the vehicle according to the sizes of the minimum interested rectangular areas respectively corresponding to the front image and the side image in the pixel plane.
It can be understood that the minimum interested rectangular region is obtained in the pixel plane, at this time, the width information and the height information of the vehicle in the pixel unit can be obtained by measuring the number of the pixel points corresponding to the length and the width of the minimum interested rectangular region corresponding to the front image, and the length information and the height information of the vehicle in the pixel unit can be obtained by measuring the number of the pixel points corresponding to the length and the width of the minimum interested rectangular region corresponding to the side image, that is, the pixel outline information of the vehicle in the pixel unit can be obtained.
S506: and obtaining the actual contour information of the vehicle according to the position information of the first image acquisition device and the second image acquisition device and the pixel contour information of the vehicle.
In this embodiment, step S506 is the same as step S404 in the previous embodiment, and is not described herein again.
Referring to fig. 6, fig. 6 is a schematic flow chart of a fourth embodiment of the method for detecting vehicle safety regulations according to the present application. In this embodiment, the vehicle information of the vehicle includes vehicle identification information and driver identification information of the vehicle. The detection method of the vehicle safety standard in the embodiment comprises the following steps:
s601: a frontal image and a lateral image of a vehicle passing through a detection area are acquired.
S602: and recognizing the license plate of the vehicle and the face of the driver based on the front image to obtain the license plate information of the vehicle and the face information of the driver.
S603: and obtaining the vehicle identity information of the vehicle according to the license plate information of the vehicle, and obtaining the driver identity information of the driver according to the face information of the driver.
It can be understood that the acquired vehicle license plate portion and the driver portion are included in the acquired front image of the vehicle, so that the license plate information of the vehicle can be obtained by recognizing the vehicle license plate portion in the front image of the vehicle, and the face information of the driver can be obtained by recognizing the driver portion in the front image of the vehicle, for example, a high-efficiency face recognition method based on a unigenic local binary pattern (MBP) combined with deep learning can be adopted. After obtaining the license plate information of the vehicle and the face information of the driver, the vehicle identity information of the vehicle can be further found from the existing vehicle database, and the driver identity information of the driver can be further found from the existing driver database.
S604: and checking the vehicle identity information and the driver identity information according to preset information in the man-vehicle database to confirm whether the vehicle is matched with the driver or not.
After the vehicle identity information of the vehicle and the driver identity information of the driver are obtained, verification can be carried out from an existing people-vehicle database, and whether the vehicle is matched with the driver or not is judged, so that behaviors such as private use of a bus, illegal use of the bus and the like can be avoided. In addition, if the preset information in the existing people-vehicle database does not contain the matching information of the current vehicle and the current driver, after verification, the matching information of the vehicle identity information and the driver identity information can be input into the existing people-vehicle database.
Referring to fig. 7, fig. 7 is a schematic flow chart of a fifth embodiment of the method for detecting vehicle safety regulations according to the present application. In this embodiment, the vehicle information of the vehicle includes guard installation information of the vehicle. The detection method of the vehicle safety standard in the embodiment comprises the following steps:
s701: a frontal image and a lateral image of a vehicle passing through a detection area are acquired.
S702: the side image is segmented to obtain at least a partial image corresponding to the vehicle protection device and at least a partial image corresponding to the vehicle tire.
When the vehicle is a truck or a trailer, it is also necessary to determine whether the vehicle is equipped with the guard device according to relevant regulations, and generally, the position and the size of the guard device should also meet relevant regulations, such as the two sides and the tail of the vehicle, and the height and the length of the guard device should meet requirements. It can be understood that, in the acquired side image of the vehicle, that is, including the acquired protector portion and tire portion, by performing edge segmentation on the side image, edge detection can be performed on the protector portion and tire portion in the image, and the edge detection can be performed along the edge contour of the protector portion and tire portion of the vehicle, so as to obtain at least a partial image of the corresponding vehicle protector and at least a partial image of the corresponding vehicle tire.
S703: boundary pixel data of the vehicle protection device is obtained from at least one partial image corresponding to the vehicle protection device, and circle center and radius pixel data of the vehicle tire is obtained from at least one partial image corresponding to the vehicle tire.
S704: and calculating to obtain the installation information of the protective device of the vehicle according to the boundary pixel data of the protective device and the pixel data of the center and radius of the tire.
The extracted at least partial image of the protective device of the vehicle and at least partial image of the tire of the vehicle show the content of the vehicle as a foreground image, so that after the at least partial image of the protective device of the vehicle and the at least partial image of the tire of the vehicle are positioned in the original image, the boundary pixel data of the protective device of the vehicle and the center pixel data and the radius pixel data of the tire of the vehicle can be measured in pixel units. It is understood that the installation information of the protection device of the vehicle can be calculated through the boundary pixel data of the protection device, the circle center pixel data of the tire and the radius pixel data, for example, the size of the installed guard rail, the height and the position of the installed guard rail, and the like can be obtained.
S705: and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the installation information of the protective device of the vehicle.
After obtaining the installation information of the protective devices of the vehicle, it may be determined whether the vehicle conforms to the regulations of vehicle safety management, for example, when the vehicle is a truck or a trailer, it may be determined whether the vehicle is installed with protective devices such as a guard rail and a reflective sign, or whether the protective devices installed on the vehicle conform to the regulations of height and size, or it may be determined whether the installed protective devices conform to the specifications of the vehicle according to the number of tires of the vehicle; in addition, whether the vehicle belongs to an illegal modified vehicle can be confirmed according to the installation information of the protective device of the vehicle.
Referring to fig. 8, fig. 8 is a schematic flowchart illustrating a sixth embodiment of a method for detecting vehicle safety regulations according to the present application. In this embodiment, the detection area is provided with a gravity detection device on the ground, and the vehicle information of the vehicle includes load information of the vehicle. The detection method of the vehicle safety standard in the embodiment comprises the following steps:
s801: a frontal image and a lateral image of a vehicle passing through a detection area are acquired.
S802: when the vehicle runs in the detection area, the load information of the vehicle is acquired through the gravity detection device.
S803: and determining whether the vehicle is overloaded according to the load information of the vehicle.
It can be understood that, because the gravity detection device is arranged on the ground of the detection area, when the vehicle runs in the detection area, the vehicle can pass through the gravity detection device, and thus the load information of the vehicle can be obtained through the gravity detection device, so that whether the vehicle is overloaded can be determined according to the load information of the vehicle, and in a specific implementation scenario, the gravity detection device may include a pressure sensor, an analog-to-digital conversion module, an amplification circuit module, and a data processing module; the pressure sensor is arranged on the ground of the detection area, and can detect the axle load mass pressure parameter of the vehicle when the vehicle passes by; the analog-to-digital conversion module is coupled with the pressure sensor and used for converting the vehicle axle load mass pressure parameter detected by the pressure sensor into an electric signal; the amplifying circuit module is coupled with the analog-to-digital conversion module and used for amplifying the electric signal and uploading the electric signal to the data processing module; the data processing module can compare the vehicle axle load mass pressure parameter collected by the pressure sensor with a normal threshold value, if the vehicle axle load mass pressure parameter collected by the pressure sensor is not in the normal threshold value range, the vehicle is overloaded, the gravity detection device can control the alarm to give an alarm, and the vehicle axle load mass pressure parameter collected by the pressure sensor is transmitted to the remote vehicle safety standard detection center in real time.
Referring to fig. 9, fig. 9 is a schematic structural diagram of an embodiment of a detection system of the vehicle safety regulations of the present application. The detection system comprises: a first image acquiring device 901, the first image acquiring device 901 is located at the side of the initial region of the detection region, the first image acquiring device 901 is used for acquiring the side image of the vehicle when the vehicle enters the initial region of the detection region; a second image acquiring means 902, the second image acquiring means 902 being located behind an end area of the detection area, the second image acquiring means 902 being configured to acquire a frontal image of the vehicle when the vehicle reaches the end area of the detection area; a detection device 903, the detection device 903 being coupled to the first image acquisition apparatus 901 and the second image acquisition apparatus 902, respectively, the detection device 903 being configured to: acquiring vehicle information of the vehicle according to the front image and the side image; and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information.
Further, the vehicle information of the vehicle includes load information of the vehicle; the detection system further comprises: the gravity detection device 904, the gravity detection device 904 is located on the ground of the detection area, and the gravity detection device 904 is used for acquiring the load information of the vehicle when the vehicle runs in the detection area. The gravity detection device 904 is coupled to the detection device 903, and the detection device 903 is further configured to determine whether the vehicle is overloaded according to the load information of the vehicle acquired by the gravity detection device 904.
The detection system of the vehicle safety standard of the present application may be used to implement the steps of the detection method of the vehicle safety standard in any embodiment, and for specific content, please refer to the content in the detection method embodiment of the vehicle safety standard, which is not described herein again.
Referring to fig. 10, fig. 10 is a schematic structural diagram of an embodiment of a detection device for vehicle safety regulations according to the present application. The detection device 10 of the vehicle safety specification in the present embodiment includes a communication circuit 100, a memory 102, and a processor 104 coupled to each other; the communication circuit 100 is used for receiving the vehicle image acquired by the image acquisition device; the processor 104 is configured to execute the program data stored in the memory 102 to implement the steps of the method for detecting vehicle safety regulations in any of the embodiments described above.
Referring to fig. 11, fig. 11 is a schematic structural diagram of another embodiment of the detection device for vehicle safety regulations according to the present application. The detection device 11 of the vehicle safety standard in this embodiment includes a vehicle sensing module 1101 and an image capturing module 1102 that are coupled to each other, where the vehicle sensing module 1101 is used as a switch for turning on the image capturing module 1102, when a vehicle enters a detection area, the vehicle sensing module 1101 senses the arrival of the vehicle, and turns on the image capturing module 1102, and the image capturing module 1102 is used for acquiring a front image and a side image of the vehicle passing through the detection area. The detection device 11 of the vehicle safety regulation further includes: the system comprises a license plate recognition module 1103 and a driver face recognition module 1104, wherein the license plate recognition module 1103 is used for recognizing the license plate of the vehicle based on the front image of the vehicle and obtaining the vehicle identity information of the vehicle, and the driver face recognition module 1104 is used for recognizing the face of the driver based on the front image of the vehicle and obtaining the identity information of the driver, and verifying the vehicle identity information and the driver identity information to confirm whether the vehicle is matched with the driver and whether the vehicle meets the regulations of vehicle safety management; a vehicle contour segmentation module 1105, configured to perform edge segmentation on the front image and the side image to obtain pixel contour information of the vehicle, convert the pixel contour information into actual contour information, and determine whether the contour of the vehicle exceeds the limit according to the actual contour information of the vehicle; a fender division module 1106, configured to divide the side image to obtain fender mounting information of the vehicle, and determine whether the vehicle complies with regulations for vehicle safety management according to the fender mounting information of the vehicle; a vehicle speed calculation module 1107, configured to obtain speed information of the vehicle according to a time difference between a first time when the side image is acquired and a second time when the front image is acquired and a travel distance of the vehicle, and determine whether the vehicle is overspeed according to the speed information of the vehicle; a vehicle gravity sensing module 1108 for sensing gravity exerted by the vehicle; the vehicle weight calculating module 1109 is configured to calculate load information of the vehicle according to the gravity applied by the vehicle sensed by the vehicle gravity sensing module 1108, and determine whether the vehicle is overloaded according to the load information of the vehicle. Further, the detection device 11 of the vehicle safety regulation may further include: an illegal violation alarm 1110 for issuing an alarm to remind relevant management personnel to perform processing when the vehicle is determined not to comply with the regulations of vehicle safety management; a ticket printer 1111 for forming and printing a ticket of the related information content of the vehicle; and a display module 1112, configured to display the acquired information about the vehicle.
In addition, each functional module in the vehicle safety regulation detection device 11 may also be used to implement the steps of the vehicle safety regulation detection method in any of the above embodiments.
For specific contents of the method for implementing the vehicle safety standard by the vehicle safety standard detection device in the present application, please refer to the contents in the above embodiment of the vehicle safety standard detection method, which is not described herein again.
Referring to fig. 12, fig. 12 is a schematic structural diagram of a memory device according to an embodiment of the present application. The present application storage device 12 stores program data 120 capable of being executed by a processor, where the program data 120 is used to implement the steps in any of the embodiments of the vehicle safety code detection methods described above.
The storage device 12 may be a medium that can store the program data 120, such as a usb disk, a portable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, or may be a server that stores the program data 120, and the server may transmit the stored program data 120 to another device for operation, or may operate the stored program data 120 by itself.
In the several embodiments provided in this application, it should be understood that the disclosed method, system, apparatus, and device may be implemented in other ways. For example, the above-described system, apparatus and device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and another division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application.
Claims (14)
1. A method for detecting a vehicle safety code, the method comprising:
acquiring a front image and a side image of a vehicle passing through a detection area;
acquiring vehicle information of the vehicle according to the front image and the side image;
and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information.
2. The detection method according to claim 1, wherein the detection area is provided with a first image acquisition device and a second image acquisition device; the acquiring of the front image and the side image of the vehicle passing through the detection area includes:
when the vehicle passing through the detection area is detected, the side image of the vehicle is acquired through the first image acquisition device, and the front image of the vehicle is acquired through the second image acquisition device.
3. The detection method according to claim 2, wherein the vehicle information of the vehicle includes speed information of the vehicle; the first image acquisition device is positioned at the starting position of the detection area, and the second image acquisition device is positioned at the end position of the detection area;
the step of acquiring a side image of the vehicle by the first image acquisition device and acquiring a front image of the vehicle by the second image acquisition device when it is detected that the vehicle passes through a detection area includes:
when the vehicle is detected to enter the initial position of the detection area, acquiring a side image of the vehicle through the first image acquisition device;
when the vehicle is detected to reach the terminal area of the detection area, acquiring a front image of the vehicle through the second image acquisition device;
the step of acquiring the vehicle information of the vehicle according to the front image and the side image includes:
determining a time difference between a first time when the first image acquisition device acquires the side image and a second time when the second image acquisition device acquires the front image;
obtaining speed information of the vehicle according to the time difference and the distance between the starting position and the end position;
the step of confirming whether the vehicle conforms to the regulation of vehicle safety management according to the vehicle information further comprises:
and confirming whether the vehicle is overspeed or not according to the speed information of the vehicle.
4. The detection method according to claim 2, wherein the vehicle information of the vehicle includes actual contour information of the vehicle;
the step of acquiring the vehicle information of the vehicle according to the front image and the side image includes:
obtaining pixel outline information of the vehicle according to the front image and the side image, and converting the pixel outline information into actual outline information;
the step of confirming whether the vehicle conforms to the regulation of vehicle safety management according to the vehicle information comprises the following steps:
and confirming whether the vehicle has an overrun contour according to the actual contour information of the vehicle.
5. The inspection method according to claim 4, wherein the step of obtaining pixel contour information of the vehicle from the front image and the side image and converting the pixel contour information into actual contour information includes:
respectively carrying out edge segmentation on the front image and the side image, and extracting to obtain a primary extracted image of the vehicle;
filtering the background edge in the preliminary extracted image to obtain a binary image of the vehicle;
positioning the binary image of the vehicle to obtain pixel outline information of the vehicle through measurement;
and obtaining the actual contour information of the vehicle according to the position information of the first image acquisition device and the second image acquisition device and the pixel contour information of the vehicle.
6. The detection method according to claim 5, wherein the edge segmentation and extraction of the front image and the side image respectively to obtain a preliminary extracted image of the vehicle comprises:
respectively carrying out edge segmentation on the front image and the side image through a Canny operator, and extracting by using a frame difference method to obtain a primary extracted image of the vehicle;
the filtering the background edge in the preliminary extracted image to obtain a binary image of the vehicle includes:
filtering the background edge in the preliminary extracted image based on a template pixel voting method to obtain a binary image of the vehicle;
the step of locating the binary image of the vehicle to obtain the pixel profile information of the vehicle by measurement comprises the following steps:
respectively extracting lane lines on the ground of the detection area in the front image and the side image, and performing primary positioning on the outline of the vehicle according to the lane lines to obtain a maximum interested rectangular area;
taking the maximum interested rectangular area as a pixel plane, and obtaining a minimum interested rectangular area in the pixel plane in a line scanning or column scanning mode;
and obtaining pixel outline information of the vehicle according to the sizes of the minimum interested rectangular areas respectively corresponding to the front image and the side image in the pixel plane.
7. The detection method according to claim 1, wherein the vehicle information of the vehicle includes vehicle identification information and driver identification information of the vehicle;
the step of acquiring the vehicle information of the vehicle according to the front image and the side image includes:
recognizing the license plate of the vehicle and the face of a driver based on the front image to obtain the license plate information of the vehicle and the face information of the driver;
obtaining vehicle identity information of the vehicle according to the license plate information of the vehicle, and obtaining driver identity information of the driver according to the face information of the driver;
the step of confirming whether the vehicle conforms to the regulation of vehicle safety management according to the vehicle information comprises the following steps:
and checking the vehicle identity information and the driver identity information according to preset information in a man-vehicle database so as to confirm whether the vehicle is matched with the driver or not.
8. The detection method according to claim 1, wherein the vehicle information of the vehicle includes guard installation information of the vehicle;
the step of acquiring the vehicle information of the vehicle according to the front image and the side image includes:
segmenting the side image to obtain at least a partial image corresponding to the vehicle protection device and at least a partial image corresponding to the vehicle tyre;
obtaining boundary pixel data of the vehicle protection device from at least partial images of the corresponding vehicle protection devices, and obtaining circle center and radius pixel data of the vehicle tires from at least partial images of the corresponding vehicle tires;
calculating to obtain the installation information of the protective device of the vehicle according to the boundary pixel data of the protective device and the pixel data of the circle center and the radius of the tire;
the step of confirming whether the vehicle conforms to the regulation of vehicle safety management according to the vehicle information comprises the following steps:
and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the installation information of the protective device of the vehicle.
9. The detection method according to claim 1, wherein a gravity detection device is provided on the ground of the detection area, and the vehicle information of the vehicle includes load information of the vehicle;
the step of acquiring the vehicle information of the vehicle according to the front image and the side image includes:
when the vehicle runs in the detection area, acquiring load information of the vehicle through the gravity detection device;
the step of confirming whether the vehicle conforms to the regulation of vehicle safety management according to the vehicle information comprises the following steps:
and determining whether the vehicle is overloaded according to the load information of the vehicle.
10. The detection method according to claim 1, characterized in that before the acquiring of the vehicle information of the vehicle from the front image and the side image, the detection method further comprises:
filtering the front image and the side image;
the step of acquiring the vehicle information of the vehicle according to the front image and the side image includes:
and acquiring the vehicle information of the vehicle according to the processed front image and the processed side image.
11. A vehicle safety code detection system, comprising:
the first image acquisition device is positioned on the side of the initial area of the detection area and used for acquiring a side image of the vehicle when the vehicle enters the initial area of the detection area;
a second image acquisition device located behind an end region of the detection region, the second image acquisition device being configured to acquire a frontal image of the vehicle when the vehicle reaches the end region of the detection region;
a detection apparatus coupled to the first and second image acquisition devices, respectively, the detection apparatus to: acquiring vehicle information of the vehicle according to the front image and the side image; and confirming whether the vehicle conforms to the regulation of vehicle safety management or not according to the vehicle information.
12. The detection system according to claim 11, wherein the vehicle information of the vehicle includes load information of the vehicle; the detection system further comprises:
the gravity detection device is located on the ground of the detection area and used for acquiring the load information of the vehicle when the vehicle runs in the detection area.
13. A detection device of a vehicle safety specification, characterized in that the detection device comprises a communication circuit, a memory and a processor coupled to each other;
the communication circuit is used for receiving the vehicle image acquired by the image acquisition device; the processor is configured to execute the program data stored by the memory to implement the method of any one of claims 1 to 10.
14. A storage device, characterized in that program data are stored which can be executed by a processor for implementing the method as claimed in any one of claims 1 to 10.
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| CN201911046290.2A CN110660226A (en) | 2019-10-30 | 2019-10-30 | Method, system and equipment for detecting vehicle safety standard and storage device |
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| CN201911046290.2A CN110660226A (en) | 2019-10-30 | 2019-10-30 | Method, system and equipment for detecting vehicle safety standard and storage device |
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