With the advent of the Industry 4.0 era, automotive visual inspection, as a key technology in the manufacturing industry, is ushering in unprecedented development opportunities. Recently, at the 12th International Automotive Industry 4.0 Summit, Konica Minolta (China) Investment Co., LTD. (hereinafter referred to as "Konica Minolta"), the world's
leading optical and display, color measurement technology solution supplier, was invited to participate in the conference, and shared the EIFIS gap surface difference online detection system (hereinafter referred to as "EIFIS"). This is another important innovation in the field of appearance inspection in the automotive industry by Konica Minolta's EINES brand following the introduction of the Automatic coating Defect Detection System (ESFI) in the production line.
At the summit, Xu Liangning, Konica Minolta EINES quality control and vision solutions expert, gave a detailed introduction to the guests: "For a long time,EINES has been committed to in-depth manufacturing process links, providing solutions for customers in many industries, and has won wide recognition in the industry. In recent years, with innovative products and solutions, Konica Minolta has also been helping the local automotive industry to upgrade to Industry 4.0."
He said that Konica Minolta has been continuing to innovate, and EINES currently has four major solutions, including quality appearance inspection, metrological inspection, part ID identification and multiple error prevention inspection, and 3D robot guidance, and will continue to provide more comprehensive quality inspection
solutions for the automotive industry in the future.
Smart solutions to meet customer needs
"The control of the body clearance surface difference is very important for the auto oems. This affects not only the aesthetic appearance of the car, the risk of water leakage, wind noise and vibration, but also the aerodynamic performance, which is directly related to the customer's car experience." Xu Liangning said. The precise control of this index can not only show the advanced manufacturing level of the factory, but also an important performance of quality control. Although many domestic auto factories still rely on manual inspection, this method is time-consuming and
labor-intensive, and it is difficult to achieve data accuracy and technical improvement.