With the improvement of automobile processing technology and the emergence of modularity, the structure of automobile parts is becoming more and more complex, and the appearance is also showing a variety of trends.This brings certain difficulties to the size inspection of the molded product.

Due to the limitations of conditions, traditional automotive parts dimension detection methods can only be manually used. Professional inspectors hold micrometers and other measurement tools to measure the dimensions of the product in various parts.However, because the shape of automotive parts is very complex, there are often dozens of measurement points on a product. This takes a lot of time to measure a product, and there are problems such as low measurement efficiency, low sampling accuracy, low sampling frequency, data omissions and manual input errors. At the same time, this measurement is not suitable for modern management, and it is impossible to deal with real-time data processing and data supervision.

A manufacturer of automobile parts in Guangzhou, in production, used ACF automatic inspection tools with Shenzhen Yunji Technology Gigabit Network Industrial Camera as the inspection core, effectively solving this problem.This machine vision detection system is an automatic machine vision measurement system that takes full advantage of the high flexibility of six-axis industrial robots and performs contactless dimensional measurements through laser displacement sensors and cloud key technology industrial cameras.It has the characteristics of fast measurement speed, high reliability and high measurement accuracy, which greatly accelerates the product's molding and inspection speed.

According to statistics from an automobile parts manufacturer in Guangzhou, a CCB bracket with 120 measurement points can complete all measurement tasks in less than 3 minutes using the ACF automatic inspection tool.