In the era of industry 4.0, the production of parts for the market is becoming more and more sophisticated, while the cost of employment is increasing, labor efficiency and stability is not high, the rate of misexamination and leakage is high. In the current market, the introduction of machine vision detection-based methods, detection principle is through CCD industrial camera photography, software image analysis, this method is efficient, high-speed, contactless detection.
For example, screw nuts for the quality requirements are extremely strict, and, the use of screw nuts are generally very large, generally mass production, when the appearance of detection rely on manual is completely unable to cope, so only the use of visual inspection equipment for quality testing.The process of implementation is as follows, the acquisition of images, image pre-processing, contour matching, position correction, thread detection, data judgment, numerical display.
In visual detection, the process generally includes image input, image positioning, detection tools, output results. In this case, the tool for image positioning is contour matching and position correction, the detection tool is thread detection, and the result is the number of rings that show the thread. Therefore, the appearance detection equipment based on machine vision screw nut is efficient, fast detection speed, and automatic ally, no manual operation.
With the development of computer technology, surface defect detection technology based on machine vision technology has emerged. The emergence of this technology has greatly improved the efficiency of production operations, avoided the accuracy of test results due to operating conditions, subjective judgment, and achieved better and more accurate detection of surface defects, and more rapid identification of product surface defects. Machine vision technology is used more to increase productivity and reduce labor costs.