TAG Solutions Machine Vision Systems

Machine vision systems are widely used in various industrial and commercial applications for tasks such as inspection, identification, guidance/tending, and gauging or measurement. 

Extensively used for quality inspection and defect detection in manufacturing processes, these systems capture images or videos of products or components and analyze them using advanced algorithms to identify defects, scratches, cracks, missing parts, or any deviations from the desired specifications. Common applications include inspection of printed circuit boards (PCBs), semiconductor wafers, automotive parts, food products, and packaging materials.

Machine vision systems can also be used for identification and recognition tasks, such as reading barcodes, QR codes, or optical character recognition (OCR) for text recognition. These systems employ image processing algorithms and machine learning techniques to accurately locate and decode the relevant information from captured images or videos. Identification applications include package tracking, inventory management, document processing, and license plate recognition.

They can also guide or tend to automated processes by providing real-time feedback and control. In robotic applications, vision systems help guide robotic arms or manipulators by tracking and locating objects, determining their orientation, and providing spatial information for accurate positioning and handling. These systems are commonly used in assembly lines, pick-and-place operations, and material handling applications.

Machine vision systems can perform precise measurements and dimensional analyses of objects or components. These systems capture images or videos and use calibrated algorithms to measure geometric properties, such as length, width, diameter, area, or volume. Gauging or measurement applications include quality control in manufacturing, part sorting, dimensional verification, and inspection of critical components in industries like aerospace, automotive, and electronics.