MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048828 A) filed by Asia Pacific World School; and Samuel Paul Isaac, Bengaluru, Karnataka, on April 16, for 'a system for ai-based sensor-fusion waste segregation and actuated bin control.'
Inventor(s) include Samuel Paul Isaac; Dalavoi Dwaraka Sarathi; Selina Salinkumar Doshi; Rheya Jones; Saachi Chakraborty; Saanch Sachdev; and Lekhana Chennupati.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-based smart waste segregation system configured for automated classification and disposal of heterogeneous waste into wet, dry, and electronic categories. The system comprises a multi-sensor acquisition module including an RGB camera, moisture sensor, metal detector, proximity sensor, and optional VOC sensor, an embedded AI classification engine utilizing convolutional neural networks and sensor-fusion algorithms, and an actuator-controlled bin assembly. Sensor data are processed in real time to determine waste category, and corresponding bin lids are actuated using electromechanical mechanisms. The system further includes fill-level monitoring and wireless communication for diagnostics and updates. The integrated architecture enables high-accuracy, low-latency classification and fully autonomous operation, reducing manual intervention and improving efficiency in waste management systems."
Disclaimer: Curated by HT Syndication.
