CN215679703U - Intelligent networking automobile visual identification training teaching system - Google Patents
Intelligent networking automobile visual identification training teaching system Download PDFInfo
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- CN215679703U CN215679703U CN202120514528.6U CN202120514528U CN215679703U CN 215679703 U CN215679703 U CN 215679703U CN 202120514528 U CN202120514528 U CN 202120514528U CN 215679703 U CN215679703 U CN 215679703U
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Abstract
The utility model discloses an intelligent networking automobile visual identification practical training teaching system, which relates to the technical field of teaching equipment and comprises an operating platform, a binocular visual sensor, a visual sensor support, an industrial personal computer and a teaching board, wherein the visual sensor support and the industrial personal computer are both arranged at the top end of the operating platform, the binocular visual sensor is arranged on the visual sensor support, the teaching board is arranged in front of the binocular visual sensor, the teaching board comprises a left half area and a right half area, the left half area corresponds to a left sensor of the binocular visual sensor, the right half area corresponds to a right sensor of the binocular visual sensor, the teaching board is adopted to provide a real-time image, data collected by a vehicle are played on the teaching board, and the teaching board is high in universality, low in cost and high in safety.
Description
Technical Field
The utility model relates to the technical field of teaching equipment, in particular to an intelligent networking automobile visual identification practical training teaching system.
Background
With the rapid development of automobile electronic, information technology, artificial intelligence and other technologies, unmanned automobiles become a great trend of automobile technology development, and will lead a new round of automobile development in the future. The unmanned automobile is a new generation automobile which is organically combined with an intelligent automobile through an internet of vehicles, carries advanced vehicle-mounted sensors, controllers, actuators and other devices, integrates modern communication and network technologies, realizes intelligent information exchange and sharing between the automobile and people, the automobile, roads, backgrounds and the like, realizes safe, comfortable, energy-saving and efficient driving, and can finally replace people to operate.
China is facing to severe shortage in the field of applied talents, talents are the root of industrial development, education for popularizing and supplementing an intelligent internet automobile technical knowledge system is an important basis for industrial development and technical research and application, a visual identification teaching system mainly aims at teaching and experiments, the components of the visual identification system can be visually known by using a training platform, the appearance and the installation position of each part and the function and the effect of each part are used for cultivating students to know the visual system, the requirement of training and examining teaching is met, the experimental teaching and the operation training are organically combined, and the practical and practical ability of the students is enhanced.
SUMMERY OF THE UTILITY MODEL
The utility model aims to overcome the defects of the prior art and provides an intelligent networking automobile visual identification practical training teaching system.
The purpose of the utility model is realized by the following technical scheme:
real teaching system of instructing of intelligent networking car visual identification, including operation panel, two mesh visual perception ware, visual perception ware support, industrial computer and demonstrating board, visual perception ware support all sets up with the industrial computer the top of operation panel, two mesh visual perception ware set up on the visual perception ware support, the demonstrating board sets up the place ahead of two mesh visual perception ware.
Preferably, the teaching board comprises a left half area and a right half area, the left half area corresponds to the left sensor of the binocular vision sensor, and the right half area corresponds to the right sensor of the binocular vision sensor.
Preferably, the visual sensor support comprises a screw rod, a visual sensor mounting seat, an adjusting nut and a mounting base, the screw rod comprises a thread part and a polished rod, one end of the polished rod is connected with the mounting base, the other end of the polished rod is connected with the thread part, the visual sensor mounting seat comprises a first visual sensor mounting seat and a second visual sensor mounting seat, the first visual sensor mounting seat and the adjusting nut are both arranged on the thread part, the adjusting nut is positioned below the first visual sensor mounting seat, the second visual sensor mounting seat is mounted on the polished rod through a fastening screw, one end of the binocular visual sensor is connected with the first visual sensor mounting seat through a bolt, the other end of the binocular vision sensor is connected with the second vision sensor mounting seat through a bolt.
Preferably, an image recognition module, a lane line recognition module and an obstacle recognition module are arranged in the industrial personal computer, the binocular vision sensor is respectively connected with the image recognition module, the lane line recognition module and the obstacle recognition module, and the binocular vision sensor respectively transmits sensing data to the image recognition module, the lane line recognition module and the obstacle recognition module for classification and recognition.
Preferably, the bottom of the operating platform is provided with universal wheels.
The utility model has the beneficial effects that:
1. the teaching board is adopted to provide real-time images, and data collected by vehicles are played on the teaching board, so that the teaching board is high in universality, low in cost and high in safety.
2. The large-scale equipment layout can be realized, and the teaching training requirement is realized.
3. Adopt adjustable support, realize the sensor for demonstrating board visual angle adjustment, adopt portable operation panel, realize the adjustment of relative demonstrating board relative distance.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a block diagram of the adjustable support of the present invention.
In the figure, 1, an operation table; 2. a binocular vision sensor; 3. an industrial personal computer; 4. a teaching board; 5. a universal wheel; 6. a visual sensor support; 61. a first visual sensor mount; 62. a second visual sensor mount; 63. adjusting the nut; 64. installing a base; 65. a threaded portion; 66. a polish rod; 67. and (5) fastening the screw.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.
The intelligent networking automobile visual identification practical training teaching system comprises an operating platform 1, a binocular visual sensor 2, a visual sensor support 6, an industrial personal computer 3 and an demonstrating board 4, wherein the visual sensor support 6 and the industrial personal computer 3 are arranged on the top end of the operating platform 1, the binocular visual sensor 2 is arranged on the visual sensor support 6, and the demonstrating board 4 is arranged in front of the binocular visual sensor 2.
The binocular vision sensor 2 is an instrument for acquiring image information of an external environment by using optical elements and an imaging device, and generally describes the performance of the vision sensor with image resolution. The accuracy of the visual sensor is not only related to the resolution, but also to the detection distance of the object to be measured. The farther the object is from the measurement object, the poorer the absolute positional accuracy. Visual perceptrons are a direct source of information for the entire machine vision system, consisting primarily of one or two graphic sensors, sometimes accompanied by a light projector and other ancillary equipment. Laser scanners, linear and area ccd cameras or tv cameras, but also the latest emerging digital cameras, etc. can be used.
It should be noted that the teaching board 4 includes a left half area and a right half area, the left half area corresponds to the left sensor of the binocular vision sensor 2, and the right half area corresponds to the right sensor of the binocular vision sensor 2.
And the teaching board 4 is adopted to play the parallax image, the left half area image is shot by a left camera to record an image stream, and the right half area image is shot by a right camera to record an image stream. By the method, the image stream corresponds to the left sensor and the right sensor of the binocular vision sensor 2, the sensing data of the binocular vision sensor 2 is input into the industrial personal computer 3 for subsequent processing
As shown in fig. 2, wherein the visual sensor support 6 comprises a screw rod, a visual sensor mounting seat, an adjusting nut 63 and a mounting base 64, the screw rod comprises a threaded portion 65 and a polished rod 66, one end of the polished rod 66 is connected with the mounting base 64, the other end of the polished rod 66 is connected with the threaded portion 65, the visual sensor mounting seat comprises a first visual sensor mounting seat and a second visual sensor mounting seat, the first visual sensor 2 mounting seat and the adjusting nut 63 are both arranged on the threaded portion 65, the adjusting nut 63 is located below the first visual sensor 2 mounting seat, the second visual sensor 2 mounting seat is mounted on the polished rod 66 through a fastening screw 67, one end of the binocular visual sensor 2 is bolted with the first visual sensor mounting seat 61, and the other end of the binocular visual sensor 2 is bolted with the second visual sensor mounting seat 62, the relative position of the binocular vision sensor is adjusted through the matching of the screw rod and the adjusting nut 63, and the relative angle of the binocular vision sensor is fixed through the fastening screw 67.
It should be noted that an image recognition module, a lane line recognition module and an obstacle recognition module are arranged in the industrial personal computer 3, the binocular vision sensor 2 is respectively connected with the image recognition module, the lane line recognition module and the obstacle recognition module, and the binocular vision sensor 2 respectively transmits sensing data to the image recognition module, the lane line recognition module and the obstacle recognition module for classification and recognition.
The platform provides application cases such as vehicle, pedestrian and road sideline detection in a machine vision form as an experiment, and provides convenience for research and learning. Through experimental operation, various hardware, methods and image processing technologies required by establishing a visual application system can be learned, and meanwhile, the detection and judgment processes of the visual target in unmanned driving are deeply known and mastered. The image recognition module can display left camera image information, right camera image information and parallax image information; the lane line identification module can check the real-time effect of the lane line, and can identify and display the solid line and the dotted line; the barrier identification module can check the real-time effect of the barrier, display barrier block diagrams with different colors according to different distances of the barrier, and display comprehensive information such as specific distances of the barrier;
furthermore, the bottom of the operating platform 1 is provided with universal wheels 5, and the relative distance between the relative teaching board 4 can be adjusted by adopting the movable operating platform 1.
The foregoing is merely a preferred embodiment of the utility model, it being understood that the embodiments described are part of the utility model, and not all of it. 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. The utility model is not intended to be limited to the forms disclosed herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the utility model as defined by the appended claims.
Claims (5)
1. Real teaching system of instructing of intelligence networking car visual identification, its characterized in that, including operation panel (1), two mesh visual perception ware (2), visual perception ware support (6), industrial computer (3) and demonstrating board (4), visual perception ware support (6) all set up with industrial computer (3) the top of operation panel (1), two mesh visual perception ware (2) set up on visual perception ware support (6), demonstrating board (4) set up the place ahead of two mesh visual perception ware (2).
2. The intelligent networking automobile visual identification practical training teaching system according to claim 1, wherein the teaching board (4) comprises a left half area and a right half area, the left half area corresponds to a left sensor of the binocular visual sensor (2), and the right half area corresponds to a right sensor of the binocular visual sensor (2).
3. The intelligent networking automobile visual identification practical training teaching system according to claim 1, wherein the visual sensor support (6) comprises a screw rod, a visual sensor mounting seat, an adjusting nut (63) and a mounting base (64), the screw rod comprises a threaded portion (65) and a polished rod (66), one end of the polished rod (66) is connected with the mounting base (64), the other end of the polished rod (66) is connected with the threaded portion (65), the visual sensor mounting seat comprises a first visual sensor mounting seat and a second visual sensor mounting seat, the first visual sensor mounting seat and the adjusting nut (63) are both arranged on the threaded portion (65), the adjusting nut (63) is located below the first visual sensor mounting seat (61), and the second visual sensor mounting seat is mounted on the polished rod (66) through a fastening screw (67), one end of the binocular vision sensor (2) is connected with the first vision sensor mounting seat (61) through bolts, and the other end of the binocular vision sensor (2) is connected with the second vision sensor mounting seat through bolts.
4. The intelligent networking automobile visual identification practical training teaching system according to claim 1, wherein an image identification module, a lane line identification module and an obstacle identification module are arranged in the industrial personal computer (3), the binocular visual perceptron (2) is respectively connected with the image identification module, the lane line identification module and the obstacle identification module, and the binocular visual perceptron (2) respectively transmits perception data to the image identification module, the lane line identification module and the obstacle identification module for classification and identification.
5. The intelligent networking automobile visual identification practical training teaching system according to claim 1, wherein universal wheels (5) are arranged at the bottom of the operating platform (1).
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CN202120514528.6U CN215679703U (en) | 2021-03-05 | 2021-03-05 | Intelligent networking automobile visual identification training teaching system |
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CN202120514528.6U CN215679703U (en) | 2021-03-05 | 2021-03-05 | Intelligent networking automobile visual identification training teaching system |
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CN215679703U true CN215679703U (en) | 2022-01-28 |
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