Vision based robot positioning and recognition using artificial intelligent system

Abstract

Many applications using vision based automation system incorporating robotic technology have been developed in many sectors, such as land-based and aerial-based remote sensing for natural resources assessments, precision farming, postharvest product quality and safety detection, classification and sorting, and process automation. This is because vision systems not only recognize size, shape, color, and texture of objects, but also provide numerical attributes of the objects or scene being imaged and robotic technology can use the data from vision system to pick up or sort whatever the vision analyze. A Vision System and a set of artificial intelligence software can provide these capabilities to a robot to operate independently. The vision sensors of the robot capture the image of an object from among jumbled objects in a bin. The vision system analyses and processes the images to identify the top most object and computes its (X,Y,Z) co¬ordinates. The robot can use this information to pick up the object and perform assembly or service operations. Advantages of using imaging technology for sensing are that it can be fairly accurate, nondestructive, and yields consistent results. Applications of vision technology will improve industry's productivity, thereby reducing costs and making agricultural operations and processing safer for farmers and processing-line workers.