MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641056013 A) filed by Dayananda Sagar Academy Of Technology And Management; Dr. Shubhalakshmi B S; and Sandhya V on May 02, 2026, for A Deep Learning-Based Automated Waste Segregation And Recycling System For Environmental Sustainability.
Inventors include Dr. Shubhalakshmi B S; and Sandhya V.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to an automated waste segregation system that uses deep learning and image processing techniques to classify and separate waste materials efficiently. The system employs a Convolutional Neural Network (CNN) trained on a large dataset of waste images to identify different categories of waste such as paper, plastic, glass, metal, and cardboard. A camera mounted above a conveyor belt captures images of waste objects, which are then processed and classified by the trained CNN model. Based on the predicted category, a microcontroller-based control unit activates a mechanical shaft mechanism that directs the waste item into the appropriate collection bin. The system integrates hardware components including a conveyor belt, camera module, Arduino microcontroller, and motorized shafts with software modules implemented in Python using machine learning libraries. The proposed invention improves the efficiency of waste management by minimizing human intervention, reducing sorting errors, and enabling accurate segregation of recyclable materials, thereby supporting sustainable waste disposal and resource recovery.
Disclaimer: Curated by HT Syndication.
