With the rapid development of the automobile manufacturing industry, the industry's quality requirements continue to improve, but also promotes the development of automatic parts inspection, in the image acquisition process, the color boundary of the product is not clear, can not be directly used for threshold segmentation, the need to use vision inspection systems to detect the appearance of defects in automotive parts. At present, the number of manual detection of surface defects of such parts is large, the detection efficiency is low, and it is easy to affect the quality of the product before leaving the factory. Therefore, in the face of the reflection of natural light on the surface of such parts, we need to make full use of the appearance defect detection equipment, so that the color of the image is further segmented, and a reasonable lighting scheme to solve the reflection problem.

In practice, we can further process the defect detection image by sharpening the filter to delineate the past blurred boundaries. Through our many years of project experience, we can feel that this method has a very good detection effect, and auto parts are widely used in various fields. It has a profound impact on modern human life. In the process of packaging and manufacturing semiconductor chips, various defects inevitably appear on the surface of the parts, which directly affect the efficiency and service life of the chip.

Traditional artificial intelligence vision for detection and analysis method is difficult to get to meet the parts packaging manufacturing high-speed, high-precision detection work requirements,automotive consulting services the use of network machine vision information technology can detect the presence of defects on the surface of the chip has no contact, no damage, high detection accuracy, high speed, high stability is based on the study of machine vision of the chip defects in the detection of data technology is mainly based on the chip printed text, the appearance of the pin size

As an advanced automatic inspection technology, machine vision can effectively improve production efficiency and industrial manufacturing level. We Shenzhen Yingtide Technology has been focusing on engaging in the machine vision industry, machine vision systems and machine vision software in the field of continuous exploration and research and development, the scope of application involves packaging and printing, electronics, textile, automotive manufacturing, semiconductor, and other fields, for the various industries and factories to provide customers with machine vision products, vision automatic inspection technology, vision inspection equipment, vision positioning, vision alignment, vision measurement, defect detection, non-standard inspection, label inspection, printing and packaging, and other industries. Non-standard inspection, label inspection, printing inspection, machine vision software, label quality inspection machine and other complete set of vision solutions.