Machine vision is an image-processing technology that allows automated devices to scan objects in a restricted field of view, interpret their orientation, and respond in accordance with preprogrammed sequences.
Machine vision technology enables industrial machines to “see” what they are doing and make quick choices based on what they see. Machine vision is most commonly used for visual inspection and defect spotting, positioning and measuring components, and identifying, sorting, and tracking goods.
Machine vision is a foundational technology in industrial robotics. For decades, it has aided in the improvement of product quality, the acceleration of output, and the optimization of manufacturing and logistics.
Edge computing, which includes embedded and IoT devices at the network periphery and beyond, as well as a growing universe of deep learning models for artificial intelligence (AI), are dramatically expanding what machine vision can do. This rapid expansion of capacities is accelerating the transition to smart factories and Industry 4.0.
A machine vision system, in its most basic form, allows a computer to identify and evaluate images. It’s similar to voice recognition technology, but instead employs images. A machine vision system is usually made up of digital cameras as well as image processing hardware and software on the back end. The front-end camera captures images from the environment or a focused object and sends them to the processing device. The captured images are either stored or processed according to the MVS’s architecture or need.
Benefits of Machine Vision in Manufacturing
Quality & Efficiency:
Machine vision applied to manufacturing can improve product quality and overall system efficiency, increasing the throughput of your manufacturing line, lowering labor costs, and freeing up your employees to concentrate on higher-value work.
Safety:
AI-powered computer vision can guarantee that workers maintain appropriate social distance and are wearing appropriate safety equipment. Machine vision-enabled robots and equipment can comprehend human behaviors and interact with them, assisting in the prevention of accidents before they occur.
Preventive Maintenance:
Furthermore, by continuously analyzing data from cameras, microphones, and sensors embedded in industrial equipment and machines, industrial PCs can use AI to detect faults and signs of wear before failure, allowing for planned preventive maintenance, eliminating unexpected downtime and spreading maintenance costs over time.
Conclusion
Machine vision is revolutionizing manufacturing, logistics, and operations as a fundamental building piece of Industry 4.0 technologies. Increased productivity, tighter quality control, and higher efficiency are all immediate benefits of machine vision and industrial automation.
