CN115326421A - Vehicle detection configuration method, system, device and storage medium - Google Patents
Vehicle detection configuration method, system, device and storage medium Download PDFInfo
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Abstract
The invention discloses a vehicle detection configuration method, a system, a device and a storage medium, and relates to the technical field of computers. The vehicle detection system stores the camera point bit group and the detection algorithm in the camera point bit group library and the detection algorithm library respectively, and stores the binding relationship between each detection specification of the detection item and the camera point bit group and the detection algorithm in the combined relation library in advance.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a vehicle detection configuration method, a vehicle detection configuration system, a vehicle detection configuration device and a storage medium.
Background
In the face of the rapid development of the automobile industry, innovative quality inspection modes are urgently needed to meet the engineering requirements. Generally, before the automatic quality inspection of the vehicle body, the inspection configuration of each vehicle type needs to be set in advance, that is, the programs of all the inspection items of the vehicle are fixedly stored in the system in a combined manner and assigned with program numbers, and the corresponding program numbers are called again in the automatic inspection process for quality inspection. The vehicle detection configuration mode not only consumes long time and has low efficiency, but also has fixed detection configuration information of each vehicle, and cannot flexibly adapt to the conditions of vehicle configuration change or vehicle addition and the like, so that the current high-efficiency and high-quality production rhythm cannot be adapted to.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a configuration method, a system, a device and a storage medium for vehicle detection, which can flexibly configure the detection requirements.
In one aspect, an embodiment of the present invention provides a vehicle detection configuration method, which is applied to a vehicle detection system, where the vehicle detection system includes a camera dotting group library, a detection algorithm library, and a combined relation library, where the combined relation library is used to store a plurality of detection item information, each detection item information includes a plurality of detection specification information, and each detection specification information includes a camera dotting group identifier and a detection algorithm identifier;
the vehicle detection configuration method comprises the following steps:
acquiring a demand to be detected, wherein the demand to be detected comprises a detection item demand and a specification demand;
matching detection item information from a combined relational library according to the detection item requirements;
matching detection specification information from the detection item information according to the specification requirement;
calling a camera point group from the camera point group library according to a camera point group identifier in the detection specification information, and calling a detection algorithm from the detection algorithm library according to a detection algorithm identifier in the detection specification information;
and obtaining the detection configuration of the requirement to be detected according to the camera point bit group and the detection algorithm.
According to some embodiments of the invention, the vehicle detection system comprises a vehicle management library for storing vehicle type information of a vehicle type of which configuration is completed, the vehicle type information comprising a plurality of preset configuration information, and the configuration information comprising detection items and specifications.
According to some embodiments of the invention, the method of configuring the vehicle detection system further comprises the steps of:
acquiring a vehicle type to be detected;
judging whether the vehicle management library has the same vehicle type as the vehicle type to be detected;
and when the vehicle type identical to the vehicle type to be detected exists in the vehicle management library, reusing configuration information in the vehicle type information of the identical vehicle type as the requirement to be detected.
According to some embodiments of the invention, the method of configuring the vehicle detection system further comprises the steps of:
and when the vehicle type identical to the vehicle type to be detected does not exist in the vehicle management library, creating new vehicle type information in the vehicle management library, and updating the combination relation library.
According to some embodiments of the invention, the creating of new vehicle model information in the vehicle management library and the updating of the portfolio relationship library comprises the steps of:
judging whether the vehicle management library has a vehicle type similar to the vehicle type to be detected;
when the vehicle management library has the vehicle type similar to the vehicle type to be detected, copying a plurality of detection items of configuration information of the vehicle type information of the similar vehicle type as a plurality of detection items of the vehicle type to be detected, calling a camera point group of each similar detection specification through the combined relation library based on the detection items to optimize, storing the optimized camera point group in the camera point group library and distributing a camera point group identifier, associating and storing the detection specifications with the corresponding detection algorithm identifier and the newly distributed camera point group identifier to obtain detection specification information so as to update the combined relation library, and creating the vehicle type information of the vehicle type to be detected in the vehicle management library based on the plurality of copied detection items of the vehicle type to be detected and the corresponding specification requirement of the vehicle type to be detected.
According to some embodiments of the invention, the creating of the new vehicle type information in the vehicle management library and the updating of the combination relation library comprises the following steps:
when the vehicle management library does not have the vehicle type similar to the vehicle type to be detected, creating a plurality of new detection items, creating a corresponding camera point location group based on the detection specification of the detection items, storing the camera point location group in the camera point location library, allocating a camera point location group identifier, creating a detection algorithm based on the detection specification of the detection items, storing the detection algorithm in the detection algorithm library, determining the detection algorithm identifier, associating and storing the detection specification, the corresponding detection algorithm identifier and the camera point location group identifier to obtain detection specification information so as to update a combined relation library, and creating the vehicle type information of the vehicle type to be detected in the vehicle management library based on the plurality of created detection items of the vehicle type to be detected and the specification requirements of the corresponding vehicle type to be detected.
According to some embodiments of the invention, the method of configuring the vehicle detection system further comprises the steps of:
determining an RGB value according to a target car body picture shot by a camera at the first camera point in the camera point group;
determining exposure parameters of a camera according to the RGB values;
applying the exposure parameters to all of the bins of the camera bin set.
In another aspect, an embodiment of the present invention further provides a vehicle detection configuration system, which is applied in a vehicle detection system, where the vehicle detection system includes a camera dotting group library, a detection algorithm library, and a combined relation library, where the combined relation library is used to store a plurality of detection item information, each detection item information includes a plurality of detection specification information, and each detection specification information includes a camera dotting group identifier and a detection algorithm identifier;
the vehicle detection configuration system includes:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring a requirement to be detected, and the requirement to be detected comprises a detection item requirement and a specification requirement;
the second module is used for matching detection item information from the combined relational library according to the detection item requirements;
the third module is used for matching detection specification information from the detection item information according to the specification requirement;
a fourth module, configured to invoke a camera point bit group from the camera point bit group library according to the camera point bit group identifier in the detection specification information, and invoke a detection algorithm from the detection algorithm library according to the detection algorithm identifier in the detection specification information;
and the fifth module is used for obtaining detection configuration of the detection requirement according to the camera point bit group and the detection algorithm.
On the other hand, an embodiment of the present invention further provides a configuration device of a vehicle detection system, including:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the vehicle detection configuration method as previously described.
In another aspect, the embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions for causing a computer to execute the vehicle detection configuration method as described above.
The technical scheme of the invention at least has one of the following advantages or beneficial effects: the vehicle detection system stores the camera point bit group and the detection algorithm in the camera point bit group library and the detection algorithm library respectively, stores the binding relationship between each detection specification of the detection item and the camera point bit group and the detection algorithm in the combined relationship library in advance, can directly call the corresponding detection algorithm and the camera point bit group according to the detection item requirements and the specification requirements when a vehicle needs to be detected, and automatically and actively combines the detection configuration to realize the detection of the vehicle.
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FIG. 1 is a flow chart of a vehicle detection configuration method provided by an embodiment of the invention;
fig. 2 is a schematic diagram of a vehicle detection configuration apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or components having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplicity of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, if there are first, second, etc. described, they are only used for distinguishing technical features, but they are not interpreted as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the precedence of the indicated technical features.
The embodiment of the invention provides a vehicle detection configuration method, which is applied to a vehicle detection system, wherein the vehicle detection system comprises a camera dot bit group library, a detection algorithm library and a combined relation library, the combined relation library is used for storing a plurality of detection item information, each detection item information comprises a plurality of detection specification information, and each detection specification information comprises a camera dot bit group identifier and a detection algorithm identifier. Referring to fig. 1, the vehicle detection configuration method of the embodiment of the present invention includes, but is not limited to, step S110, step S120, step S130, step S140, and step S150.
Step S110, acquiring requirements to be detected, wherein the requirements to be detected comprise detection item requirements and specification requirements;
step S120, matching detection item information from the combined relational library according to the detection item requirements;
step S130, matching detection specification information from the detection item information according to specification requirements;
step S140, calling a camera point bit group from a camera point bit group library according to a camera point bit group identifier in the detection specification information, and calling a detection algorithm from a detection algorithm library according to a detection algorithm identifier in the detection specification information;
and S150, obtaining the detection configuration of the requirement to be detected according to the camera dot bit group and the detection algorithm.
In some embodiments, the camera point location library is configured to store point location groups of the cameras at the detection stations, and when a shooting pose of a camera corresponding to one detection thread matches a point location in the point location group, image acquisition is performed. Illustratively, the detection station includes a left camera and a right camera, each of the left camera and the right camera presets 10 point bit groups, one point bit group includes several point bits, then the camera point bit group inventory stores 20 camera point bit groups, and the camera point bit group identifier of the third point bit group of the left camera may be represented as L3. It should be noted that, through the visualized point location management window, the camera point location groups in the camera point location group library may be queried, added, or deleted, or operations such as adding, deleting, searching, or changing may be performed on each point location of the camera point location group. It should be noted that the camera point group of each detection item in the embodiment of the present invention includes a plurality of point locations, and can perform multi-point bitmap input detection on a detection item with a large field of view, and improve detection accuracy based on a picture detection target with multiple acquisition angles.
In some embodiments, the detection algorithm library is configured to store a plurality of different detection algorithms, and the detection algorithms corresponding to the same detection algorithm identifier may be repeatedly invoked. The detection algorithms in the detection algorithm library are divided into AI detection algorithms and CV detection algorithms. The AI detection algorithm is a detection or recognition model obtained after training through a large amount of picture data, and illustratively includes a door handle recognition model, a tire recognition model, and the like. The CV detection algorithm is a conventional parameter calculation method, such as a color recognition algorithm, a roundness measurement algorithm, and the like. It should be noted that a visual algorithm management window may be set to manage a plurality of detection algorithms in the detection algorithm library, and specifically, the algorithm management window is divided into an AI management item and a CV management item, where the AI management item is used to display an identifier of an AI detection algorithm, and the CV management item is used to display an identifier of a CV detection algorithm, so as to implement ordered management of the detection algorithm library.
In some embodiments, the combinatorial relation library is configured to store a plurality of test item information, each test item information including a plurality of test specification information, each test specification information including a camera point group identifier and a test algorithm identifier. Illustratively, the combined relational database stores detection item information such as left door handle detection, right door handle detection, car light detection and the like, the left door handle detection item information comprises a high-matching detection specification and a low-matching detection specification, and the high-matching detection specification and the low-matching detection specification respectively comprise a detection algorithm identification and a camera point location group identification of a door handle. It should be noted that a visual detection item management window may be set to manage a plurality of detection item information in the combined relational library, a corresponding detection specification list may be called through the detection item information of the detection item management window, and a corresponding detection algorithm identifier and a camera point location identifier may be queried through the detection specification information in the detection specification list. In addition, the detection configuration of the detection requirement can be modified by modifying, adding or deleting the detection algorithm identification or the camera point location identification in the detection specification information.
It will be appreciated that the same detection algorithm or set of camera point bits may be called by the unused detection term, e.g., the door knob detection algorithm may be called by the doorknob detection term, and may be called by the right doorknob detection term.
In some embodiments, when a vehicle detection list is acquired, a plurality of requirements to be detected in the detection list are extracted, wherein each requirement to be detected comprises a detection item requirement and a specification requirement. Matching detection item information from the combined relation library according to the detection item requirement, then matching detection specification information from the detection item information according to the specification requirement, calling a camera point bit group from a camera point bit group library according to a camera point bit group identifier in the detection specification information, calling a detection algorithm from a detection algorithm library according to a detection algorithm identifier in the detection specification information, and obtaining detection configuration of the requirement to be detected according to the camera point bit group and the detection algorithm. Further, all detection configurations of the requirements to be detected can be obtained based on the vehicle detection list, so that the whole vehicle detection is realized.
In this embodiment, before vehicle detection, all detection items and detection algorithms and camera dot bit groups corresponding to the detection specifications thereof are not combined in advance, but the corresponding detection algorithms and camera dot bit groups are called by querying the relational combination library according to detection requirements, and different detection algorithms and camera dot bit groups can be reused by the detection requirements of different vehicle types, so that not only is labor cost saved, configuration flexibility improved, but also storage space saved.
According to some embodiments of the present invention, a vehicle detection system includes a vehicle management library for storing vehicle type information of a vehicle type that has been configured, the vehicle type information including a plurality of preset configuration information, and the configuration information including a detection item and a specification.
According to some embodiments of the invention, the method for configuring the vehicle detection system further comprises the steps of:
acquiring a vehicle type to be detected;
judging whether the vehicle management library has the same vehicle type as the vehicle type to be detected;
and when the vehicle type identical to the vehicle type to be detected exists in the vehicle management library, multiplexing configuration information in the vehicle type information of the identical vehicle type as the requirement to be detected.
In some embodiments, a vehicle management library is provided in a vehicle inspection system to store history vehicle types that have been configured and vehicle type information thereof, the vehicle type information including a plurality of preset configuration information, the configuration information including inspection items and specifications.
In some embodiments, when a current vehicle on a detection station is detected, a vehicle type to be detected of the current vehicle is obtained first, whether a vehicle type identical to the vehicle type to be detected exists in a vehicle management library is judged, if the vehicle type identical to the vehicle type to be detected exists in the vehicle management library, a plurality of configuration information in vehicle type information of the same vehicle type are directly multiplexed to serve as requirements to be detected of the current vehicle, a relation combination library is inquired according to the requirements to be detected, and a corresponding detection algorithm and a camera point library are called, so that the detection of the vehicle is achieved.
In some embodiments, when the vehicle management library does not have the same vehicle type as the vehicle type to be detected, which indicates that the current vehicle is a new vehicle type, new vehicle type information needs to be created in the vehicle management library, and the combination relation library is updated, so as to implement configuration of the new vehicle type.
Specifically, the configuration process of the vehicle detection system for a new vehicle type is as follows:
judging whether the vehicle management library has a vehicle type similar to the vehicle type to be detected;
when the vehicle type similar to the vehicle type to be detected exists in the vehicle management library, copying a plurality of detection items of configuration information of the vehicle type information of the similar vehicle type as a plurality of detection items of the vehicle type to be detected, calling camera point group of each similar detection specification through the combined relation library based on the detection items to perform point position display so as to edit and optimize, storing the optimized camera point group in the camera point group library and distributing a new camera point group identification for the camera point group, associating and storing each detection specification, a corresponding detection algorithm identification and a newly distributed camera point group identification to obtain new detection specification information so as to update the combined relation library, and creating the vehicle type information of the vehicle type to be detected in the vehicle management library based on the plurality of copied detection items of the vehicle type to be detected and the specification requirement of the corresponding vehicle type to be detected.
When the vehicle management library does not have the vehicle type similar to the vehicle type to be detected, a plurality of new detection items are created, a corresponding camera point location group is created based on the detection specification of the detection items and stored in a camera point location group library and allocated with a camera point location identification, a detection algorithm is created based on the detection specification of the detection items and stored in a detection algorithm library, a detection algorithm identification user is determined or a reusable detection algorithm and a detection algorithm identification thereof are inquired based on the detection specification of the detection items, the detection specification, the corresponding detection algorithm identification and the camera point location group identification are stored in an associated mode to obtain detection specification information so as to update a combined relation library, and the vehicle type information of the vehicle type to be detected is created in the vehicle management library based on the plurality of created detection items of the vehicle type to be detected and the specification requirement of the corresponding vehicle type to be detected.
In the embodiment, because the detection items, the camera point group and the detection algorithms of different vehicle types have higher coupling, the embodiment of the invention sets the combined relation library to manage different detection items, manages each detection specification of the detection items, the camera point group identifier and the detection algorithm identifier, and sets the detection algorithm library and the camera point group to respectively manage the detection algorithm and the camera point group.
According to some specific embodiments of the present invention, the configuration method of the vehicle detection system of the embodiments of the present invention further includes, but is not limited to, the following steps:
determining an RGB value according to a target car body picture shot by a camera at the first camera point in the camera point group;
determining exposure parameters of the camera according to the RGB values;
the exposure parameters are applied in all the bins of the camera bin set.
In some embodiments, the attributes of a single point location include image-dependent gain, exposure, and axis/pan/lens position, among other relevant information. Since different colors of the photographed object affect the imaging effect, for example, black vehicles and white vehicles have different light absorption and reflection conditions, and the same camera parameters may produce a picture with overexposure or underexposure, the camera parameters need to be adjusted according to the color of the measured object before the picture of each detection item is acquired. Exemplarily, after a camera point group L3 is determined and called from a combined relation library according to a requirement to be detected, the posture and parameters of a left camera are adjusted according to a first point location of the camera point group L3, a target car body picture is obtained after adjustment is completed, a color recognition algorithm is called by default to analyze an RGB value of the target car body picture, exposure parameters of the left camera are determined according to an RGB preset interval where the RGB value is located, and then the exposure parameters are applied to all point locations of the camera point group, so that the left camera can collect left doorknob pictures according to the exposure parameters of all the point locations, and detection accuracy is improved.
The embodiment of the present invention further provides a vehicle detection configuration system, which is applied to the vehicle detection system, and the vehicle detection configuration system includes:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring requirements to be detected, and the requirements to be detected comprise detection item requirements and specification requirements;
the second module is used for matching the detection item information from the combined relational library according to the detection item requirements;
the third module is used for matching the detection specification information from the detection item information according to the specification requirement;
the fourth module is used for calling the camera point group from the camera point group library according to the camera point group identification in the detection specification information and calling the detection algorithm from the detection algorithm library according to the detection algorithm identification in the detection specification information;
and the fifth module is used for obtaining detection configuration of the detection requirement according to the camera dot bit group and the detection algorithm.
It can be understood that the contents in the foregoing embodiments of the vehicle detection configuration method are all applicable to the embodiments of the present system, the functions specifically implemented by the embodiments of the present system are the same as those in the foregoing embodiments of the vehicle detection configuration method, and the beneficial effects achieved by the embodiments of the vehicle detection configuration method are also the same as those achieved by the foregoing embodiments of the vehicle detection configuration method.
Referring to fig. 2, fig. 2 is a schematic diagram of a vehicle detection arrangement according to an embodiment of the present invention. The vehicle detection configuration device of the embodiment of the invention comprises one or more control processors and a memory, and one control processor and one memory are taken as an example in fig. 2.
The control processor and the memory may be connected by a bus or other means, as exemplified by the bus connection in fig. 2.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the control processor, and these remote memories may be connected to the vehicle detection configuration device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 2 does not constitute a limitation of the vehicle detection arrangement and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
The non-transitory software programs and instructions required to implement the vehicle detection configuration method applied to the vehicle detection configuration apparatus in the above-described embodiments are stored in a memory and, when executed by a control processor, perform the vehicle detection configuration method applied to the vehicle detection configuration apparatus in the above-described embodiments.
Furthermore, an embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions, which, when executed by one or more control processors, may cause the one or more control processors to perform the vehicle detection configuration method in the above-described method embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as is well known to those skilled in the art.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. The vehicle detection configuration method is applied to a vehicle detection system, wherein the vehicle detection system comprises a camera dot bit group library, a detection algorithm library and a combined relation library, wherein the combined relation library is used for storing a plurality of detection item information, each detection item information comprises a plurality of detection specification information, and each detection specification information comprises a camera dot bit group identifier and a detection algorithm identifier;
the vehicle detection configuration method comprises the following steps:
acquiring a demand to be detected, wherein the demand to be detected comprises a detection item demand and a specification demand;
matching detection item information from a combined relational library according to the detection item requirements;
matching detection specification information from the detection item information according to the specification requirement;
calling a camera point group from the camera point group library according to a camera point group identifier in the detection specification information, and calling a detection algorithm from the detection algorithm library according to a detection algorithm identifier in the detection specification information;
and obtaining the detection configuration of the requirement to be detected according to the camera point bit group and the detection algorithm.
2. The method of claim 1, wherein the vehicle detection system comprises a vehicle management library for storing vehicle type information of vehicle types that have been configured, the vehicle type information comprising a plurality of preset configuration information, the configuration information comprising detection items and specifications.
3. The method of configuring a vehicle detection system according to claim 2, further comprising the steps of:
acquiring a vehicle type to be detected;
judging whether the vehicle management library has the same vehicle type as the vehicle type to be detected;
and when the vehicle management library has the vehicle type which is the same as the vehicle type to be detected, multiplexing configuration information in the vehicle type information of the same vehicle type as the requirement to be detected.
4. The method of configuring a vehicle detection system according to claim 3, further comprising the steps of:
and when the vehicle type identical to the vehicle type to be detected does not exist in the vehicle management library, creating new vehicle type information in the vehicle management library, and updating the combination relation library.
5. The method of configuring a vehicle inspection system according to claim 4, wherein the creating new vehicle model information in the vehicle management library and updating the combinatorial relationship library includes the steps of:
judging whether the vehicle management library has a vehicle type similar to the vehicle type to be detected;
when the vehicle management library has the vehicle type similar to the vehicle type to be detected, copying a plurality of detection items of configuration information of the vehicle type information of the similar vehicle type as a plurality of detection items of the vehicle type to be detected, calling a camera point group of each similar detection specification through the combined relation library based on the detection items to optimize, storing the optimized camera point group in the camera point group library and distributing a camera point group identifier, associating and storing the detection specifications with the corresponding detection algorithm identifier and the newly distributed camera point group identifier to obtain detection specification information so as to update the combined relation library, and creating the vehicle type information of the vehicle type to be detected in the vehicle management library based on the plurality of copied detection items of the vehicle type to be detected and the corresponding specification requirement of the vehicle type to be detected.
6. The method for configuring vehicle inspection system according to claim 5, wherein said creating new vehicle model information in said vehicle management library and updating said combined relationship library comprises the steps of:
when the vehicle type similar to the vehicle type to be detected does not exist in the vehicle management library, creating a plurality of new detection items, creating a corresponding camera point group based on a detection specification of the detection item, storing the camera point group in the camera point group library, allocating a camera point group identifier, creating a detection algorithm based on the detection specification of the detection item, storing the detection algorithm in the detection algorithm library, determining the detection algorithm identifier, associating and storing the detection specification with the corresponding detection algorithm identifier and camera point group identifier to obtain detection specification information so as to update a combined relation library, and creating the vehicle type information of the vehicle type to be detected in the vehicle management library based on the plurality of created detection items of the vehicle type to be detected and the specification requirements of the corresponding vehicle type to be detected.
7. The method of configuring a vehicle detection system according to claim 1, further comprising the steps of:
determining an RGB value according to a target car body picture shot by a camera at the first camera point in the camera point group;
determining exposure parameters of the camera according to the RGB values;
applying the exposure parameters in all points of the set of camera point bits.
8. The vehicle detection configuration system is applied to a vehicle detection system, and the vehicle detection system comprises a camera dot group library, a detection algorithm library and a combined relation library, wherein the combined relation library is used for storing a plurality of detection item information, each detection item information comprises a plurality of detection specification information, and each detection specification information comprises a camera dot group identifier and a detection algorithm identifier;
the vehicle detection configuration system includes:
the system comprises a first module and a second module, wherein the first module is used for acquiring requirements to be detected, and the requirements to be detected comprise detection item requirements and specification requirements;
the second module is used for matching detection item information from the combined relational library according to the detection item requirements;
the third module is used for matching detection specification information from the detection item information according to the specification requirement;
a fourth module, configured to invoke a camera point bit group from the camera point bit group library according to the camera point bit group identifier in the detection specification information, and invoke a detection algorithm from the detection algorithm library according to the detection algorithm identifier in the detection specification information;
and the fifth module is used for obtaining detection configuration of the detection requirement according to the camera point bit group and the detection algorithm.
9. A vehicle detection system configuration device, characterized by comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the vehicle detection configuration method of any one of claims 1 to 7.
10. A computer readable storage medium in which a program executable by a processor is stored, wherein the program executable by the processor is adapted to implement a vehicle detection configuration method as claimed in any one of claims 1 to 7 when executed by the processor.
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