Published Paper Details:

This paper presents an automated waste segregation system designed to classify and sort waste into four categories: metals, glass, plastic, and wet. The system uses a Wifi module, along with a camera module to capture images and sensors to detects the metals and moisture. These images undergo processing to extract important features that help in classification. The classification process is performed using the algorithm YOLO (You only look once) algorithm. which compares these features with a predefined dataset to determine the type of waste materials. Once categorized, the system uses a stepper motor-driven automated sorting mechanism that directs each item into its designated bin, reducing manual labor and ensuring proper waste disposal. By improving classification accuracy and efficiency, this system contributes to a more effective recycling process, making it a promising solution for automated waste management in various applications.