Detection and Recognition of Objects in Real Time Using an Intelligent Camera by a Delta Robot

Abstract

Developing robots and making them autonomous based on artificial intelligence through computer vision to distinguish objects and make decisions in real time is one of the important things in the field of industry to improve the efficiency of industrial robots and make them smarter. In this article, we have developed an intelligent algorithm in Python language that recognizes 2D objects and sends the information to the robot. This data concerns the size, color, shape and position in the surface. The program can recognize multiple shapes in a single image. All the experiments carried out in this research have given very good results with an error percentage of 0.2 % and thanks to the smart camera connected to the Delta robot. The experimental results obtained show the effectiveness and validity of our work. Numerous experiments demonstrate the effectiveness of the model. The video is available here: https://sites.google.com/view/dalta-smart-camera/accueil