Artificial Intelligence Technologies in Urban Smart Waste Management

Abstract

Efficiency and sustainability are being transformed by artificial intelligence (AI) in waste management. City waste collection, sorting, recycling, and disposal processes can be streamlined, sustainable, and environmentally friendly by using robotics and AI. Artificial intelligence can improve waste classification accuracy, efficiency, and cost. Automatic sorting, machine learning waste classification, and smart containers with sensors can improve waste segregation and disposal. For successful implementation, data privacy, regulatory compliance, and technological scalability must be addressed. AI can improve sorting accuracy, reduce contamination, and adapt to altered waste compositions. Artificial intelligence, IoT, and smart bins can optimize waste collection routes, lower costs and emissions, and boost efficiency. Waste recycling systems can improve recycling rates and quality control with AI, promoting a circular economy. We must set industry standards and regulations for ethical implementation. AI waste management could improve environmental sustainability and public health.