MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621069914 A) filed by D Y Patil College Of Engineering, Akurdi, Pune on June 04, 2026, for Eco-Sort: Automated Waste Segregation System Integrating A Robotic Arm With A Multi-Sensor Detection Array.
Inventors include D Y Patil College Of Engineering, Akurdi, Pune; Arti Utikar; Shruti Biradar; and Payal Shilvant.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: 7. ABSTRACT Proper waste management plays a major role in maintaining environmental cleanliness and supporting sustainable development. The proposed project introduces an automated waste segregation system capable of separating waste into four categories: dry waste, wet waste, plastic waste, and metallic waste. The primary aim of the system is to reduce manual effort and improve the accuracy of waste sorting in homes and small public environments. The system operates using multiple sensors that identify different types of waste materials. A moisture-based sensor is used to detect wet waste, an infrared sensor helps identify dry waste, and a proximity sensor is responsible for detecting metal objects. Based on the signals received from these sensors, an Arduino Uno microcontroller processes the information and controls actuators such as servo motors and stepper motors to direct the waste into the appropriate collection bins. By automating the segregation process, the system improves efficiency, minimizes human error, and encourages better recycling practices. The project is mainly intended for small-scale applications including households, schools, offices, and public spaces. In addition, the design can be further enhanced in the future through the integration of advanced technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) for large-scale smart waste management solutions. The virtual simulation and testing of the system before physical implementation also help reduce hardware risks and ensure smoother operation of the final prototype. Keywords: Smart Waste Management, Automated Waste Segregation, Dry Waste, Wet Waste, Plastic Waste, Metallic Waste, Smart Dustbin.
Disclaimer: Curated by HT Syndication.
