Through image acquisition and processing, accurate detection of product appearance, size, defects and other parameters is achieved, which improves workshop production efficiency and product quality control. With the demand for production from customers, building an efficient and stable one-stop machine vision system has become the focus of more and more companies.

When building a stable and reliable visual system, industrial lenses are no longer just accessories for machine production, but core optical components that affect the imaging quality and inspection accuracy of the entire system. Choosing a lens with excellent performance, matching parameters and suitable applications will bring qualitative improvements to the operating stability of the entire system and product quality control.

With the continuous deepening of industrial automation and intelligent manufacturing, machine vision systems have gradually become key production equipment for quality control and process optimization in production sites. However, for many users, how to scientifically evaluate the performance and accuracy of the system when selecting, testing or introducing machine vision projects is still a key factor affecting the success of deployment.

The application environment in reality is often much more harsh than that in the laboratory: high temperature, high humidity, dust, oil pollution, vibration and shock, etc., all of these factors are a test of the stability and reliability of visual equipment.