Intelligent Solid Waste Sorting System using IoT and Image processing

Solid waste management (SWM) is one of the global challenges due to the lack of an efficient automated real-time waste segregation and reuse system. This work deals with the design, development and testing of an intelligent solid waste sorting system by integrating image processing and Internet of things (IoT). The proposed system utilizes image processing algorithm to detect the e-waste as well as e-waste with plastic content from other wastes. Additionally, the developed system is capable of sorting organic wastes, plastic wastes and metal wastes using respective sensors embedded in the system. The speed of the conveyor belt is synergistically tuned with the processing time of the algorithm for waste detection, signal communication, and response time of the flap, thereby attaining effective sorting. The detection accuracy above 95% is obtained for the present system which is better compared to the existing ones.