查看文章

Recycling and landfilling are steps in waste management that destroy trash. The Internet of Things (IoT) and the different machine learning and deep learning approaches presented in the article work together to provide an agile solution for real-time data monitoring and categorization. This study seeks to close the gap between ML and DL algorithms in innovative waste management in smart cities. The traditional trash management system may be replaced with intelligent sensors incorporated into the system to perform real-time monitoring and improve waste management thanks to the advent of the Internet of Things (IoT) and artificial intelligence (AI). ML algorithms, including logistic regression, support vector machine, random forest, and DL algorithms like Yolov3 and CNN, were mentioned in this work. Six object classes have been trained into the Yolov3 network (namely: cardboard, glass, metal, paper, plastic …