High-precision part deviation detection system based on 3D visual algorithm

Abstract

The invention relates to a high-precision part deviation detection system based on a 3D visual algorithm. The high-precision part deviation detection system comprises a detection box body, a supporting circular truncated cone, an ultrasonic detector, a guide rail, a camera, a searchlight and a central controller, wherein the components are precisely controlled by the central controller, control parameters are adjusted, and the difference of detection results caused by the difference of part bodies is reduced; the central controller detects whether a shot image reflects light or not and adjuststhe light brightness, a shooting angle of the searchlight and a position of the searchlight on the guide rail; the central controller establishes model coordinate data according to the 3D algorithm,determines the integrity of acquired data, performs defect detection on qualified part data, and improves the defect detection precision; and an ultrasonic sensor is further arranged to detect the internal defects of the hollow parts in an ultrasonic detection mode, so that the application range of the high-precision part deviation detection system is widened, and the defect detection precision ofdifferent parts is improved.

Description

technical field [0001] The field of the invention is a part deviation detection system, specifically a high-precision part deviation detection system based on a 3D vision algorithm. Background technique [0002] With the development of computer science, there are more and more applications of computers in the industrial field. Artificial intelligence, computer vision algorithms, and neural network algorithms have gradually matured, making their application prospects more and more broad. The 3D camera can collect every The 3D coordinate information of the point is restored intelligently to obtain 3D stereoscopic imaging through 3D vision algorithm, which will not be easily affected by the external environment and complex light, and the technology is more stable, which can solve the problems of poor two-dimensional experience and security in the past, and Widely used in the fields of face recognition and 3D modeling; in the development of industry, traditional part defect dete...

AI Technical Summary

Problems solved by technology

[0003] 1. Manual identification is time-consuming and laborious, and is affected by human factors such as fatigue and personal cognitive factors;

[0004] 2. For the detection of high-precision parts, the requirements are relatively high, and the error of traditional detection methods is relatively large;

[0005] 3. For the detection of high-precision parts, the requirements for the detection scene are high, such as the control of the intensity of light irradiation; for small defects, the

Images