MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202541124539 A) filed by Sri Venkateswara College Of Engineering & Technology, Chittoor, Andhra Pradesh, on Dec. 10, 2025, for 'ai-driven iot-integrated automated waste segregation bin for smart city.'
Inventor(s) include M. Mythreyan; Dr. A. Mahamani; Y. Bhargavi; S. Deekshita; Mukta Halder; G. Bhuvan Chandran; G. Harsha Vardhan; Dr. S. Senthil; and S. Kokila.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The proposed loT-Enabled Connected Garbage Bin for Smart City Applications provides an advanced, automated, and intelligent solution to persistent urban waste management challenges such as inconsistent segregation, delayed collection, and unhygienic handling. The system integrates an ESP32-CAM with TinyML-based waste classifier, enabling automatic sorting of organic, recyclable, dry, wet, and hazardous waste ( 1.6) via servo-controlled ( 1.1) segregation modules works with auto intemal lid opener. Additional gas sensors (1.2) detect wet waste, decomposition levels, and the presence of any living orgariism, ensuring safety and early alerts. Once the bin reaches 80% capacity (4), real-time notifications are transmitted to municipal authorities through a cloud dashboard (Firebase), supported by LoRajGSM fallback for connectivity in low-network zones. To enhance hygiene and user safety, the system includes an auto-lid mechanism, UV /chemical disinfection (1.4) module, and metal/plastic separation sensor arrays for improved recyclability. Continuous system improvement is ensured through an AI re-training pipeline, enabling the model to learn from real-world data and increase classification accuracy over time. Predictive maintenance algorithms monitor sensor and motor health, reducing downtime and operational costs. The smart bin's modular, scalable, and low-cost architecture makes it ideal for Smart City ecosystems, enhancing sustainability, cleanliness, and operational efficiency."
Disclaimer: Curated by HT Syndication.
