Machine vision (MV) is an inspection machine equipped with sensing vision instruments (such as auto-focus cameras or sensors), in which optical inspection instruments account for a very high proportion and can be used to detect defects in various products , or use it to judge and select objects, and apply it to the calibration and positioning of materials on the automated production line. It is the most industrialized part of computer vision, and it is mainly used in factory automation inspection and robot industry.
Nearly 80% of industrial vision systems are mainly used for inspection, including improving production efficiency, controlling product quality in the production process, and collecting product data. The classification and selection of products are also integrated in the detection function.
The vision system detects the products on the production line, determines whether the products meet the quality requirements, and according to the results, generates corresponding signals to be input to the host computer. Image acquisition devices include light sources, cameras, etc.; image processing devices include corresponding software and hardware systems; output devices are related systems connected to the manufacturing process, including programmable controllers and alarm devices.
Object and Image Recognition
Real-time data collection production data
Support diverse I/O through wired or wireless interface
Supports high-speed data collection to instantly perceive production risks
Quickly respond and adjust the production process
Display the results of edge computing in real time, and quickly respond and adjust the production process
Ruggedized modular deployment
End-side equipment is small in size, easy to install, and has good compatibility
Wide temperature working, good robustness
Third-Party Software and Platform Support
Perfect hardware driver and function library
Support a variety of mainstream software development environments
Significantly reduce development costs