A 3D visual inspection system based on structured light imaging

Abstract

The invention relates to a 3D visual inspection system based on structured light imaging, which includes: a detection carrier, an information acquisition module, and a control module, and the detection table, ultrasonic detector, structured light camera, and irradiation lamp are accurately controlled by the central processor of the control module. Control, calculate the detection level K through pre-shooting to adjust the speed of the inspection table and the defect comparison threshold, so that the central processor controls the structured light camera to have enough time to obtain and process the shape information of the object to be inspected, which improves the acquisition of the shape information of the object to be inspected accuracy, which reduces the impact caused by the difference in the shape and structure of the object to be detected; the present invention adjusts the irradiation angle and position of the illumination lamp in real time during the information acquisition process, so as to reduce the impact of the reflection of the part on the acquisition of the shape information of the part to be detected, and adjust in real time The position and angle of the structured light camera enable the central processing unit to acquire more complete information of the object to be detected, which indirectly improves the detection accuracy of the present invention.

Description

technical field [0001] The field of the present invention is the field of detection systems, specifically a 3D visual detection system based on structured light imaging. Background technique [0002] With the rapid development of computer technology and its wide application in the industrial field, many industrial technologies have undergone revolutionary progress. The technology of combining structured light cameras and 3D vision algorithms to generate 3D models or coordinates has been widely used, and the structure Because of its high precision, optical cameras are widely used in fields such as face recognition and real-time 3D modeling. In many industrial fields, defect detection often uses manual recognition to identify scratches and defects on the object to be detected by human eyes, or with the aid of Measurement tools detect whether there is a deviation in the size of the object to be inspected. Some industrial fields use defect detection systems or devices, but the d...

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Problems solved by technology

[0003] 1. Manual identification is time-consuming and labor-intensive, and the results of manual identification are easily affected by human factors of the monitor, such as fatigue, personal knowledge level of the tester, etc., and the manual detection results are not accurate enough;

[0004] 2. The traditional detection system or device has poor detection accuracy, because the 3D visual inspection system has high requirements for the light illumination of the detection scene. If the light intensity is too high, it will cause parts to reflect light and cover up defects. If it is too small, it is not easy for parts with special structures. Therefore, the adjustment of light is extremely critical. The traditional detection system does not control the light irradiation situation and light irradiation position in real time according to the detection results;

[0005] 3. The traditional detection system or device does not adjust the detection parameters in the detection process according to the length, width and quality of the object to be detected, and does not consider the error caused by the shape and structure of the object to the detection result

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