If you own a business that greatly relies on consistent quality control then you must have heard of Vision Inspection System which works on machine vision technology for defect inspection.
Earlier versions of vision inspection systems were rule-based required high training time and did not support real-time decision-making. Over the last decade, technological changes and advancements have completely changed the face of machine vision technology.
Advancements in the field of data analytics, Artificial Intelligence (AI), Internet of things (IoT), Blockchain, and robotics came out of R&D-labs. Gone are the days when people believed that robotics, automation, self-driving cars are just concepts. The future is here.
Why should businesses use Vision Inspection Systems?
Since its inception in the 1950s, machine vision has grown from conceptual computer science to an integral part of the manufacturing industry.
The latest advancements have made this technology offer incredible solutions that help in defect inspection, product sorting, and completing a variety of tasks more efficiently and accurately than humans could ever do.
Any business that relies on product manufacturing and wants to achieve a specific quality standard could potentially benefit from this technology by integrating it into their manufacturing process.
Applications of Vision Inspection System
Machine Vision technology can be implemented in any industry where quality control is necessary. For instance, vision systems can assist robotic arms to detect the positioning of a product on the conveyor belt to further streamline and automate the manufacturing process.
Data collected by the vision systems can also help in improving the efficiency in production lines, sorting, packaging, and many other applications. Moreover, it can also help in the detection and classification of defects that can drastically improve the quality of the final product.