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AI visual detection method and system based on deep learning, and readable storage medium

A visual inspection and deep learning technology, applied in the field of visual inspection, can solve problems such as poor stability and accuracy of inspection equipment, long shooting inspection time, and limited efficiency of worker inspection.

Active Publication Date: 2022-07-05
中信云网有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1) The cost of automation is high, and the rotating structure used for rotating products in existing testing equipment is relatively complicated (such as including multiple rotating shafts for rotation), which correspondingly increases the production cost and operating cost of the testing equipment, and this type of testing There are problems of poor stability and accuracy in the actual operation of the equipment, and if higher stability and accuracy requirements are required for the testing equipment, the automation cost of the equipment will be further increased;
[0006] 2) The beat of the production line is slow. Due to the need to rotate a single product, it takes a long time to shoot and detect a single product, and a single station needs to perform more operations (for example, take multiple photos with a single camera), which is difficult Meet the production line beat requirements. In addition, the invention patent with the patent announcement number of CN113670923A is mainly aimed at the defect detection of the shell structure of the notebook machine. Low, for example, a single detection of a notebook machine takes only ten or twenty seconds, and the corresponding detection equipment takes a long time for a single station. However, the detection of the notebook shell (not the whole machine structure) Therefore, the existing testing equipment often cannot meet the production line rhythm requirements of the notebook shell structure in actual work;
[0007] 3) Poor compatibility. The shell structure produced by raw material manufacturers usually has many types of defects. For some special types of defects, or defects located in specific positions, only the side image or appearance image of the shell structure may not be clearly identified corresponding defects
For example, only acquiring the side image or appearance surface image of the shell may not be able to identify the defects at the corners of the shell (that is, the intersection of two adjacent sides of the shell), so it is necessary to The angle is taken separately, which involves adjusting the rotation angle of the rotating mechanism / module, which will further increase the structural complexity of the rotating mechanism / module and affect the stability of the equipment; that is to say, the detection equipment has a single function and is compatible with Poor performance (poor generalization ability), it can only be tested for the shell structure of the current model. If you need to test shell structures with different materials, types, colors, and characteristics, you will need to test the light source, lens, camera, and acquisition card. , image processing software, controller, communication unit, etc. are replaced or modified, and the mold change time is long;
[0008] 4) The demand for worker participation is relatively high, the efficiency of worker detection is limited, and when workers are prone to fatigue after long-term repetitive work, the false detection rate will also increase

Method used

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  • AI visual detection method and system based on deep learning, and readable storage medium
  • AI visual detection method and system based on deep learning, and readable storage medium
  • AI visual detection method and system based on deep learning, and readable storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0093] A first aspect of the present invention provides an AI visual inspection device, please refer to Figure 3-Figure 11 , the AI ​​visual inspection equipment includes:

[0094] Transmission structure, one end of the transmission structure is the material loading position 11, the other end of the transmission structure is the material unloading position 15, the transmission structure has a transmission position for the housing structure to move, and the transmission position includes: a first The transmission section and the second transmission section, the transmission directions of the first transmission section and the second transmission section are different, preferably, in some embodiments, when the casing structure is a notebook shell, the first transmission section and the second transmission section are mutually vertical or nearly vertical;

[0095] Two first side visual detection devices 20, two of the first side visual detection devices 20 are respectively arra...

Embodiment 2

[0152] Based on the AI ​​visual inspection device in the above embodiment, the present invention further provides an AI visual inspection system, including an industrial computer, a quality inspection server, and the aforementioned AI visual inspection device;

[0153] The industrial computer is connected to the AI ​​visual inspection device to control the AI ​​visual inspection device and receive inspection information, and the industrial computer is wired or wirelessly connected to the quality inspection server to transmit inspection information and obtain identification result.

[0154] The industrial computer is responsible for scheduling each station to take pictures, uploading the pictures to the quality inspection server, calling the algorithm model and rule processing program deployed on the quality inspection server to identify and determine the defects, and finally send them according to the identification results returned by the service. It is given to the industria...

Embodiment 3

[0167] Based on the AI ​​visual detection device or system in the above embodiment, the present invention also provides an AI visual detection method based on deep learning applied to the above AI visual detection device or system, wherein the AI ​​for executing the AI ​​visual detection method Vision inspection equipment includes:

[0168] Transmission structure, one end of the transmission structure is the material loading position, the other end of the transmission structure is the material unloading position, the transmission structure has a transmission position for the housing structure to move, and the transmission position includes a first transmission section and a second transmission section. The transmission directions of the segment and the second transmission segment are different (when the casing structure is a notebook shell, preferably, the first transmission segment and the second transmission segment are arranged perpendicular to each other or approximately pe...

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Abstract

The invention provides an AI visual inspection method and system based on deep learning, and the method comprises the steps: obtaining an appearance surface image of a housing structure through an appearance surface visual inspection device, a first side visual inspection device and a second side visual inspection device of AI visual inspection equipment, obtaining a structural surface image of the shell structure through a structural surface visual detection device of the AI visual equipment; determining an appearance defect detection result of the shell structure according to the appearance surface image and an appearance defect detection model, and determining a structure defect detection result of the shell structure according to the structure surface image and a structure defect detection model; determining a quality detection result of the shell structure according to the appearance defect detection result and the structure defect detection result; wherein the appearance surface image at least comprises appearance surface images of the top surface of the shell structure and a plurality of side surfaces of the shell structure. According to the AI visual inspection method provided by the invention, the omnibearing inspection of the product is realized, and the outgoing quality of the product is improved.

Description

technical field [0001] The present invention relates to the field of visual detection, in particular to an AI visual detection method, device and system based on deep learning. Background technique [0002] Visual inspection refers to measuring and judging by the machine instead of the human eye. In practical application, the surface defect detection of the production shell structure can be realized by visual inspection, and with the development of many years, this technology has become very mature. [0003] In the process of intelligent manufacturing, the image of the objective object is taken by the camera with the aid of the lens and light source, and then the image is collected by the capture card and stored in the computer or server hard disk. The image processing software uses algorithms and rules to cut the image into slices. After dividing and calculating, a certain result is obtained, and the result is used for the detection, measurement and control of the shell str...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G06N3/08
CPCG01N21/8901G01N21/8903G01N21/01G01N21/13G01N2021/0112Y02P90/30
Inventor 杜海潇肖刚袁卫顺何勃徐满俊赵日来
Owner 中信云网有限公司
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