• Version
• Download 21
• File Size 350.10 KB
• File Count 1
• Create Date 23 February 2026
• Last Updated 23 February 2026

Waste Exploration and Categorizing using AI and Image Processing

M.PRIYANKA REDDY
Assistant Professor,Ece Department Tkrec,Hyd-500097
priyankareddym26@gmail.com

Abstract: Waste supervision and its categorization took place a key awareness in progressed and pro- gressing countries to retain the sustainable environ- ment accompanied by the existent technology aids. The waste handling and its categorization system operation includes many complicated actions. Advance- ments in existent technologies. Artificial intelligence and image processing many more are providing its analytical assistance to segregate the several classes of waste for future processes. In recent days great researching is in progress and progressing good results to sort out the problems in waste management system to retain the eco- friendly environment. Exercising a contemplating literature on waste super- vision and its categorization revealing that in deep learning domain artificial intelligence equipped with image processing committing good results to procure the sustainable environment. Grounding on artificial intelligence and image pro- cessing technologies. This project captures the images of different types of wastes collected in garbage, upon the type garbage waste, captured as an image, then progressing this data to find and categorize into their cluster and placed into e- bins.
Keywords: AI, image processing, waste categorizing, waste detection, e-bins, bio-degradable, non-biode- gradable.