Waste Segregation using IoT and Image Recognition

Today there when the world population has reached around 8 billion the amount of waste being generated has also increased by a huge margin, which has led to difficulty in segregating wastes for disposal. A general method that is encouraged is to separate wastes among wet and dry wastes which ease up the disposal work however still a lot of people cannot exactly separate correctly; our solution hereby intends to give a proper decision about the kind of waste. With the use of IoT devices and sensors, we can get essential data like the image of the waste and the amount of moisture present in it, and then using image recognition and the moisture data a proper decision is made whether the target is wet or dry waste. This not only helps in proper segregation but also reduces the practice of improper waste disposal.