Machine vision is rapidly making inroads into various fields, taking over one industrial sector after another. In the electronics industry, especially in the fields of high-precision wafer position recognition or position correction and the inspection of SMT (surface mounted device) assembly components, there has been a consensus in recent years that the only way to meet high quality and production standards is to use flexible image analysis and processing methods. In any case, machine vision inspection is indispensable at the present time,vision inspection systems even in the automotive industry, to provide the best possible level of precision in automated assembly, adapting to a large number of different and improved assembly lines.
In the automotive industry, the precision and quality of the product must meet this requirement, automotive consulting servicesand this need is growing. As a result, the automotive industry is now experiencing faster production cycles and greater raw material and component supply ownership attributes. This makes sense for machine vision systems, which are increasingly seen as an integral part of automation solutions and a standard protocol in the field of automation.
Previously, machine vision systems were limited to a small number of specialists. Since the introduction of intelligent vision inspection systems that can be easily integrated into automation solutions, the use of image processing in automation has grown at an incredible rate.DLIA's range of services for industrial defect detection has also been extended from general-purpose systems to all specialized systems, providing optimal solutions for virtually all requirements.
The automotive development industry uses the DLIA Industrial Control Defect Inspection Management System in the manufacture of engines and transmissions to inspect as well as automotive components and to record the manufacturing production date of assembled parts. It is used by component suppliers to check the dimensional accuracy of parts structures, to correct the pressure of automotive components, and also for the correct installation of seat belts and other similar safety accessories for students. Improved teaching quality and increased production are the main problematic reasons why the world market leader in automotive China manufacturing methods choose an intelligent machine vision. In the future, the vehicle information electronic parts logistics cost share may have exceeded the whole vehicle 50%, radar (laser, millimeter wave, ultrasonic), sensors, communications (GPS, DSRC, 4G/5G), cameras, inspection, entertainment service system construction will appear to be a significant increase in the automotive finance industry continues to improve their own equipment with machine vision inspection data technology needs.By:Jane