ArUco is a library designed for generating and detecting fiducial markers, which are small square patterns similar to QR codes. These markers are widely used in computer vision applications for object detection, pose estimation, and camera calibration. Each marker has a unique ID encoded within the pattern, enabling robust identification and tracking in various scenarios.

Tracking ArUco markers on a production line offers a powerful solution for automating and optimizing industrial processes. By placing ArUco markers on products or packaging, the system can identify, track, and monitor each item as it moves along the production line. This enables precise logging of product flow, quality control, and efficient sorting mechanisms.

Such a system provides real-time data on production efficiency and helps identify bottlenecks or errors. For instance, it can ensure that the right items are directed to the correct processing stations or packaging lines. Additionally, integrating this technology with robotics or conveyor systems enhances automation and reduces human error, paving the way for smarter and more efficient manufacturing environments.