ABSTRACT
In the present era, with the speedy expansion of technology and associated sectors, the use of electronic devices is increasing. Rapid development in the use of electronic equipment results in e-waste (electronic waste) generation, and consumers are forced to replace their old equipment with newer ones as technology advances. This dumping on the trash heap is growing at an exponential rate, resulting in a massive increase of e-waste. This enormous quantity of waste must be processed and disposed of responsibly. The majority of e-waste is composed of chemicals and metals that can be hazardous or toxic in nature. Allowing the processing of this garbage to go unnoticed can result in major blunders. Here is some reviewed work for understanding and analyzing the rate of e-waste generation and recovery of the rare metals from this e-waste. Technological methods based on AI and GPS systems can help a lot in identifying and segregating e-waste. Hence, the further processing becomes easier. This is suggested to be done by means of image-matching algorithms for identifying the objects, and based on data stored in the database, objects can be segregated. The GPS system helps with this by locating and planning the route for e-waste retrieval. In this reviewed study, some of the methods and workflow are suggested for efficient and fruitful e-waste management.
