Optimization of waste management system and smart garbage collection in large commercial and entertainment complexes with the Internet of Things (Case study: Iran Mall Shopping Center, Tehran)

Abstract

One of the biggest problems we face in the world today is waste management. Looking at the available statistics, it is predicted that the volume of waste generated in the world by 2050 will reach 3.40 billion tons. Many countries are currently looking at how to recycle this amount of waste. One of the most challenging aspects of managing any city or community is managing the waste generated by consumers, businesses and the public sector. This volume of waste includes 230 million tons of waste and disposable materials each year. While specific efforts to reduce the use of some of the materials used in packaging products may ultimately reduce the amount of waste generated over time, all societies continue to produce waste and will continue to do so. Waste is defined as a combination of recyclable materials, materials destined for landfills and materials that must be carefully disposed of according to their contents.

Managing this waste has traditionally been a manual process, but artificial intelligence (AI) is being used in some communities to reduce the human labor required for this task and, consequently, reduce the costs associated with waste management and processing. By combining a variety of technologies, including machine learning (ML), deep learning (DL), and computer vision, a number of solutions have been proposed that are likely to improve efficiency and productivity in waste management.