Development of Bottle Recycling Machine Using Machine Learning Algorithm

Bottle Recycling Machine (BRM) plays a vital role in solving the issue of solid waste as used bottles are the major factors for water and land pollution. Here we propose novel design for Brmto collect the used bottles and classify them usingmachine learning algorithm. After classification separate mechanism has been implemented forrecycling of used bottles. The system consist raspberry-PI connected with camera and audio-visual interactive system. For encouraging users, reward is given through printed coupon generated using thermal receipt printer. Since there is no sensor available to detect plastic bottles, this task is done using machine learning algorithm. First step is acquisition of bottle Images and extracted features are given tonovel classifier (machine learning algorithm). The algorithm is developed on with python platform. Once bottles are identified and classified they aresorted using slider crank mechanism as per the type of bottle material. Sorted bottles are recycled using mechanical assembly. The proposed design of BRM provides accurate identification of bottle and effective recycling in low cost.