Waste Detection and Classification Using Yolo Algorithm and Sensors

Abstract

Improper waste management poses health risks and environmental problems. In India, municipal solid waste of over 150,000 tonnes is generated on a day-to-day basis, while metro cities like Mumbai are densely polluted. Unfortunately, only a tiny fraction of the garbage is appropriately collected and handled. India is expected to produce 377,000 tonnes of trash per day by 2025. The need for effective waste segregation is highlighted by the fact that unprocessed garbage contains valuable components that can be repurposed or composted. Technologies based on deep learning provide solutions for garbage detection and classification that increase accuracy and productivity. It is possible to design robots to do jobs and lessen the exposure of humans to dangerous toxins. Utilizing sensor-based approaches, such as metal and moisture sensors, can improve waste management procedures even more. We can enhance waste management and produce a cleaner, safer environment by tackling these issues and properly utilizing innovative technologies.