BinWare: Intelligent Waste Segregation Using Machine Learning, Image Processing and IoT

Proper waste segregation is the need of the hour. Machine learning and IoT have large potential to create intelligent waste segregation systems. A lo of work is done in this domain but still many gaps lies in the accuracy of the segregagtion techniques applied. In these work convolution neural networks, using inception method and other techniques is implemented. Various types of waste are used to test the accuracy of designed binware. The work is a presents a promising approach in intelligent waste segregation using machine learning and IoT Techniques.