Plastic Detection and Picking Robotic Arm Using Machine Learning

the management of plastic trash is a global concern since it is difficult & expensive to manually sort waste. Scientists are developing and testing automatic sorting methods that enhance the effectiveness of the recycling process. In this paper, we present an effective and efficient robotic arm that detects plastic using a camera and classifies the object as recyclable plastic and non-recyclable plastic and effectively picks recyclable plastic. These automated sorting techniques make extensive use of machine learning algorithms which are trained using existing dataset. A pretrained ML algorithm was implemented with training accuracy of 89.6% and detection accuracy of nearly 60%, tested using real time images, live detection using a camera. Finally, we had integrated our customized pick and place robotic arm with ML algorithm