CN110110718B - Artificial intelligence image processing device - Google Patents
Artificial intelligence image processing device Download PDFInfo
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- CN110110718B CN110110718B CN201910213633.3A CN201910213633A CN110110718B CN 110110718 B CN110110718 B CN 110110718B CN 201910213633 A CN201910213633 A CN 201910213633A CN 110110718 B CN110110718 B CN 110110718B
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- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
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Abstract
The invention discloses an artificial intelligence image processing device, and relates to the technical field of image processing. The invention includes: the system comprises a plurality of image acquisition node groups, a remote control center and a big data analysis platform; the image acquisition node group comprises two image acquisition nodes which are arranged on two sides of a road and have opposite positions; the image acquisition node comprises an L-shaped camera frame; the control terminal is arranged in a control box arranged on the camera shooting frame; the control terminal comprises a microprocessor and an image preprocessing module; a first camera is arranged on a first cross bar of the L-shaped camera shooting frame; and a second camera is arranged on a second cross rod which is vertical to the first cross rod. According to the invention, the front image, the back image and the side image of the running vehicle are shot, the characteristics are extracted, then the vehicle picture is synthesized, and then the vehicle image is compared and analyzed through the big data analysis platform to finally confirm the vehicle information, so that the vehicle identification is facilitated, the trouble that the vehicle information cannot be confirmed due to the fact that the license plate number cannot be clearly identified is avoided, and the vehicle identification efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of image processing, and particularly relates to an artificial intelligence image processing device.
Background
With the popularization and application of the internet of things, the road traffic system is also used for monitoring and traffic supervision of the road traffic system. In the conventional road traffic supervision, an electronic eye (namely a camera) is usually adopted to shoot and acquire vehicle images of vehicles passing through a road, and then license plate information of the vehicles is acquired through the vehicle images so as to confirm the vehicle information. However, in the actual use process, it is very troublesome for some vehicles which cannot recognize the license plate well.
The invention provides an artificial intelligence image processing device, which is used for confirming vehicle information by shooting a front image, a back image and a side image of a running vehicle, extracting characteristics, synthesizing a vehicle picture, and performing image processing on the front image, the back image and the side image; the problem that the vehicle cannot be identified through the license plate is solved.
Disclosure of Invention
The invention aims to provide an artificial intelligence image processing device which solves the problem that a vehicle cannot be confirmed by recognizing a license plate by shooting a front image, a back image and a side image of a running vehicle, extracting features, synthesizing a vehicle picture, comparing and analyzing the vehicle image through a big data analysis platform and finally confirming vehicle information.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention is an artificial intelligence image processing apparatus, comprising: the system comprises a plurality of image acquisition node groups, a remote control center and a big data analysis platform;
the image acquisition node group comprises two image acquisition nodes which are arranged on two sides of a road and opposite in position; the image acquisition node comprises an L-shaped camera frame; the openings of the two L-shaped camera shooting frames which are positioned at opposite positions on two sides of the road are back to back;
the control terminal is arranged in a control box arranged on the camera shooting frame; the control terminal comprises a microprocessor and an image preprocessing module; a first camera is rotatably arranged on a first cross rod of the L-shaped camera shooting frame; a second camera is rotatably arranged on a second cross rod perpendicular to the first cross rod; the first cross rod is arranged perpendicular to a road; the second cross rod is arranged in parallel with the road;
the first camera is used for acquiring a front image or a back image of a road vehicle and transmitting the front image or the back image to the control terminal; the second camera is used for acquiring a side image of the road vehicle and transmitting the side image to the control terminal; the image processing module receives a front image or a back image transmitted by a first camera and a side image transmitted by a second camera, and performs image preprocessing on the front image or the back image and the side image;
the control terminal also comprises a wireless transmission module which is respectively connected with the microprocessor and the image preprocessing module and is used for transmitting the preprocessed front image or back image and side image to the remote control center; the wireless transmission module is also used for receiving a control instruction transmitted by the remote control center; the control commands received by the two control terminals in the same group are the same; the two control terminals in the same group execute the control commands at a preset interval time;
the remote control center comprises an image segmentation unit, a feature extraction unit and a synthesis unit; the image segmentation unit is used for segmenting the specified vehicle from the front image, the back image and the side image by adopting a segmentation algorithm to obtain a corresponding front local segmentation image, a back segmentation image and a side segmentation image; the image segmentation unit transmits the front locally-segmented image, the back locally-segmented image and the side locally-segmented image to the special front extraction unit; the characteristic extraction unit is used for extracting the characteristics of the front local segmentation image, the back segmentation image and the side segmentation image and acquiring corresponding front characteristic information, side characteristic information and back characteristic information; the feature extraction unit transmits the front feature information, the side feature information and the back feature information to the synthesis unit respectively; the synthesis unit synthesizes a vehicle picture according to the front characteristic information, the side characteristic information and the back characteristic information;
the remote control center also stores front images, back images, side images and vehicle pictures to the big data analysis platform.
Preferably, the remote control center allocates IP addresses to the two control terminals in the image acquisition node group; IP addresses corresponding to two control terminals in the image acquisition node group are adjacent; and when the remote control center sends the control instruction, the control instruction is sent according to the image acquisition node as a basic unit.
Preferably, the first camera and the second camera take several consecutive shots each time they take.
The invention has the following beneficial effects:
according to the invention, the front image, the back image and the side image of the running vehicle are shot, the characteristics are extracted, then the vehicle picture is synthesized, and then the vehicle image is compared and analyzed through the big data analysis platform to finally confirm the vehicle information, so that the vehicle identification is facilitated, the trouble that the vehicle information cannot be confirmed due to the fact that the license plate number cannot be clearly identified is avoided, and the vehicle identification efficiency is improved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an artificial intelligence image processing apparatus according to the present invention;
fig. 2 is a schematic structural diagram of an image acquisition node in an artificial intelligence image processing apparatus according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention is an artificial intelligence image processing apparatus, comprising: the system comprises a plurality of image acquisition node groups, a remote control center and a big data analysis platform;
the image acquisition node group comprises two image acquisition nodes which are arranged on two sides of a road and have opposite positions; the image acquisition node comprises an L-shaped camera frame 1; the two L-shaped camera frames 1 which are positioned at opposite positions on two sides of the road are back to back in opening;
a control terminal arranged in a control box 2 arranged on the camera frame 1; the control terminal comprises a microprocessor and an image preprocessing module; a first camera 111 is rotatably arranged on the first cross bar 11 of the L-shaped camera shooting frame 1; a second camera 121 is rotatably mounted on a second transverse rod 12 which is perpendicular to the first transverse rod 11; the first cross rod 11 is arranged perpendicular to the road; the second cross rod 12 is arranged in parallel with the road;
the first camera 111 is used for collecting front images or back images of road vehicles and transmitting the front images or the back images to the control terminal; the second camera 121 is used for acquiring a side image of the road vehicle and transmitting the side image to the control terminal; the image processing module receives the front image or the back image transmitted by the first camera 111 and the side image transmitted by the second camera 121, and performs image preprocessing on the front image or the back image and the side image;
the control terminal also comprises a wireless transmission module which is respectively connected with the microprocessor and the image preprocessing module and is used for transmitting the preprocessed front image or back image and side image to the remote control center; the wireless transmission module is also used for receiving a control instruction transmitted by the remote control center; the control commands received by the two control terminals in the same group are the same; two control terminals in the same group execute control commands at a preset interval time;
the remote control center comprises an image segmentation unit, a feature extraction unit and a synthesis unit; the image segmentation unit is used for segmenting the specified vehicle from the front image, the back image and the side image by adopting a segmentation algorithm to obtain a corresponding front local segmentation image, a back segmentation image and a side segmentation image; the image segmentation unit transmits the front local segmentation image, the back segmentation image and the side segmentation image to the special front extraction unit; the characteristic extraction unit is used for extracting the characteristics of the front local segmentation image, the back segmentation image and the side segmentation image and acquiring corresponding front characteristic information, side characteristic information and back characteristic information; the feature extraction unit transmits the front feature information, the side feature information and the back feature information to the synthesis unit respectively; the synthesis unit synthesizes a vehicle picture according to the front characteristic information, the side characteristic information and the back characteristic information;
the remote control center also stores the front image, the back image, the side image and the vehicle picture to a big data analysis platform.
The remote control center allocates IP addresses for the two control terminals in the image acquisition node group; IP addresses corresponding to two control terminals in the image acquisition node group are adjacent; and when the remote control center sends the control instruction, the control instruction is sent according to the image acquisition node as a basic unit.
The first camera 111 and the second camera 121 perform shooting several times in succession for each shooting.
In the practical use process, two L-shaped camera frames 1 are correspondingly arranged at two sides of a road; the second cross bar 12 of the L-shaped camera shooting rack 1 is parallel to the road, and the first cross bar 11 of the L-shaped camera shooting rack 1 is vertical to the road; a first camera 111 for taking front or rear images of road vehicles is mounted on the first rail 11; a second camera 121 for taking a side image of the road vehicle is installed on the second rail 12; the two L-shaped camera frames 1 are positioned at the same position on both sides of the road, and the openings of the two L-shaped camera frames 1 are back to back; a control terminal is arranged in a control box 2 at the top of the L-shaped camera frame 1; the control terminal is respectively connected with the first camera 111 and the second camera 121 on the same L-shaped camera frame 1 and is used for forwarding the front image, the back image and the side image of the passing vehicle to the control center.
When the system is installed, the control center allocates IP for the two control terminals in the image acquisition node group, and the IP of the two control nodes are adjacent; the interval time is preset in the control terminal, and when the control center sends a shooting instruction, the image acquisition node group is taken as a basic unit, namely, the instructions received by two control terminals in the same image acquisition node group are the same; when two control terminals in the same image acquisition node receive a shooting instruction, one control terminal controls the first camera 111 and the second camera 121 under the control terminal to respectively shoot, when the other control terminal receives the shooting instruction, the control terminal starts timing, and when the timing time reaches a preset interval time, the control terminal controls the first camera 111 and the second camera 121 to shoot.
It should be noted that, in the foregoing system embodiment, each unit included is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, those skilled in the art can understand that all or part of the steps in the method for implementing the embodiments described above can be implemented by a program to instruct related hardware, and the corresponding program can be stored in a computer readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (3)
1. An artificial intelligence image processing apparatus, comprising: the system comprises a plurality of image acquisition node groups, a remote control center and a big data analysis platform;
the image acquisition node group comprises two image acquisition nodes which are arranged on two sides of a road and opposite in position; the image acquisition node comprises an L-shaped camera rack (1); the openings of the two L-shaped camera frames (1) which are positioned at opposite positions on two sides of the road are opposite;
the control terminal is arranged in a control box (2) arranged on the camera frame (1); the control terminal comprises a microprocessor and an image preprocessing module; a first camera (111) is rotatably arranged on a first cross bar (11) of the L-shaped camera frame (1); a second camera (121) is rotatably arranged on a second cross bar (12) which is vertical to the first cross bar (11); the first cross rod (11) is arranged vertical to a road; the second cross rod (12) is arranged in parallel with the road;
the first camera (111) is used for collecting front images or back images of road vehicles and transmitting the front images or the back images to the control terminal; the second camera (121) is used for collecting side images of the road vehicles and transmitting the side images to the control terminal; the image processing module receives a front image or a back image transmitted by the first camera (111) and a side image transmitted by the second camera (121), and performs image preprocessing on the front image or the back image and the side image;
the control terminal also comprises a wireless transmission module which is respectively connected with the microprocessor and the image preprocessing module and is used for transmitting the preprocessed front image or back image and side image to the remote control center; the wireless transmission module is also used for receiving a control instruction transmitted by a remote control center; the control commands received by the two control terminals in the same group are the same; the two control terminals in the same group execute the control commands at intervals of preset interval time;
the remote control center comprises an image segmentation unit, a feature extraction unit and a synthesis unit; the image segmentation unit is used for segmenting the specified vehicle from the front image, the back image and the side image by adopting a segmentation algorithm to obtain a corresponding front local segmentation image, a back segmentation image and a side segmentation image; the image segmentation unit transmits the front local segmentation image, the back segmentation image and the side segmentation image to the special front extraction unit; the characteristic extraction unit is used for extracting the characteristics of the front local segmentation image, the back segmentation image and the side segmentation image and acquiring corresponding front characteristic information, side characteristic information and back characteristic information; the feature extraction unit transmits the front feature information, the side feature information and the back feature information to the synthesis unit respectively; the synthesis unit synthesizes a vehicle picture according to the front characteristic information, the side characteristic information and the back characteristic information;
the remote control center also stores front images, back images, side images and vehicle pictures to the big data analysis platform.
2. The artificial intelligence image processing apparatus according to claim 1, wherein the remote control center assigns IP addresses to two control terminals in the image capturing node group; IP addresses corresponding to two control terminals in the image acquisition node group are adjacent; and when the remote control center sends the control instruction, the control instruction is sent according to the image acquisition node as a basic unit.
3. An artificial intelligence image processing apparatus according to claim 1, wherein said first camera (111) and said second camera (121) take a plurality of consecutive shots each time.
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| CN201910213633.3A CN110110718B (en) | 2019-03-20 | 2019-03-20 | Artificial intelligence image processing device |
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| CN201910213633.3A CN110110718B (en) | 2019-03-20 | 2019-03-20 | Artificial intelligence image processing device |
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| CN110110718B true CN110110718B (en) | 2022-11-22 |
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| CN110660226A (en) * | 2019-10-30 | 2020-01-07 | 浙江大华技术股份有限公司 | Method, system and equipment for detecting vehicle safety standard and storage device |
| CN111476192B (en) * | 2020-04-15 | 2021-03-12 | 八维通科技有限公司 | Intercepted image synthesis method based on intelligent traffic and big data cloud server |
| CN113299071A (en) * | 2021-03-24 | 2021-08-24 | 安徽超视野智能科技有限公司 | Monitoring system and method for occluded vehicle identification |
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