Machine vision based camera defect detection method

Abstract

The invention discloses a machine vision based camera defect detection method. According to a to-be-detected image of a camera, a template image is zoomed to be consistent with the to-be-detected image; and the to-be-detected image is translated to the adjusted template image, and whether the camera is defective is determined through the consistency of lens circle positioning of the to-be-detectedimage and the adjusted template image. The detection method can highly effectively improve the efficiency and preparation rate of camera defect detection, thereby greatly saving the labor cost.

Description

technical field [0001] The invention belongs to the technical field of intelligent detection, and in particular relates to a camera defect detection method based on machine vision. Background technique [0002] At present, we have entered the era of Industry 4.0. In this era, only the development of intelligent manufacturing can meet the needs of modern industry. The core technology of the Industry 4.0 era is machine vision. Machine vision technology is one of the greatest technologies of human beings in the 20th century. In front of us, the amount of information contained in images is very rich. We need to use modern technology to mine, so that machines can also perceive external information, so as to help humans accomplish more things, and even accomplish some things that humans cannot accomplish. [0003] At present, the application fields of cameras are more and more extensive, and the demand is also increasing. Then, in the production process, some cameras will have d...

AI Technical Summary

Problems solved by technology

Then in the production process, some cameras will have defects such as edge overflow, mirror overflow, scratches, wear and other defects. Since the previous defect detection work was done manually, the work efficiency is extremely low.

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