A Review Paper on Smart Waste Segregation Systems (SWSS)

The problem of waste is getting bigger every day because of fast-growing cities, industries, and the way people consume things. Most of the time, waste isn’t properly separated at the source, which ends up polluting the environment, creating health problems, and making recycling and disposal more expensive. Doing it the traditional way, by hand, is slow and risky for the workers too. That’s why Smart Waste Segregation Systems (SWSS) are coming up as a better and smarter solution. These systems use sensors like infrared, inductive, and moisture sensors, along with microcontrollers such as Arduino or Raspberry Pi, to automatically detect and sort different types of waste. Some even use image processing and machine learning to make the process more accurate. Studies show that these systems can separate biodegradable, non-biodegradable, metallic, and recyclable waste effectively, while cutting down human effort and improving efficiency. In short, SWSS is a big step towards cleaner cities, smart waste management, and a healthier environment. Keywords - Waste management; Smart waste segregation; IoT; Automation; Sensors; Machine learning; Smart cities; Waste detection