MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070208 A) filed by Gla University, Mathura on June 04, 2026, for Ai-Guided Adaptive Waste-Segregation Conveyor System.
Inventor includes Dr. Ravindra Pratap Singh.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: AI-GUIDED ADAPTIVE WASTE-SEGREGATION CONVEYOR SYSTEM Abstract The present invention relates to an AI-guided adaptive waste-segregation conveyor system designed for efficient, real-time sorting of heterogeneous municipal and industrial waste. The system integrates multi-modal sensing units, including cameras, infrared sensors, and load detectors, with an artificial intelligence (AI) processing module that analyzes waste characteristics such as material type, size, density, moisture content, and flow behavior. Based on AI-driven classification, the system dynamically reconfigures conveyor parameters including chute angles, separator gaps, roller speeds, vibration intensity, and pneumatic-mechanical rejection mechanisms to optimize segregation performance. The invention further incorporates predictive jam-detection and autonomous self-clearance features to minimize blockages, downtime, and manual intervention. A closed-loop feedback architecture enables continuous learning and performance optimization by updating operational parameters in real time. The adaptive and modular design enhances material recovery efficiency, reduces contamination, and improves throughput. The system is particularly suitable for municipal solid waste facilities, material recovery plants, and large-scale recycling industries requiring intelligent, automated waste management solutions.
Disclaimer: Curated by HT Syndication.
