Robotic Arm for Segregation Using Image Processing

Abstract

The recent surge in industrial expansion can be attributed significantly to the advancements in automation technology. For better performance of industrial processes, automated systems are used. Image processing has played a great role in the applications of robotics and embedded systems. Sorting of objects is usually done by humans which takes a lot of time and effort. By employing image processing methods alongside appropriate sensors, object detection becomes feasible, enabling the utilization of robotic arms for sorting diverse items. This reduces human effort and improves the time to market the product. The model includes the conveyor system, capturing and detecting the objects and placing the objects. Using image processing techniques, the captured image is compared with its texture and color. Based on image processing, the robotic arm will be controlled and place the objects in desired locations. An Arduino model is used to process the captured image. The captured image is other than a pre-specified object, it involves the conveyor belt starting to move and the object is collected at the end of the conveyor system.