Rahul Kumar, MS by Research in CSE working with Dr. Sachin Chaudhari   presented their research work on Garbage Vulnerable Point Monitoring Using IoT and Computer Vision at the 11th IEEE World Forum on Internet of Things (IEEE WF-IoT 2025) held in Chengdu, China, from 27 to 30  October. The other authors of this paper are Ayush Kumar Lall, Sachin Chaudhari, Dr. Anuradha Vattem and Ms. Madhuvanti Kale (United Way of Hyderabad).

This work aligns with India’s Smart Cities Mission and Swachh Bharat Abhiyan, promoting cleaner cities, improved public health, and sustainable urban management through technology-driven innovation. The project aims to develop a cost-effective IoT and computer vision system for real-time monitoring and detection of illegal waste dumping at Garbage Vulnerable Points (GVPs).

The paper presents a smart waste management solution using IoT and computer vision for detecting and monitoring illegal waste dumping at GVPs in urban areas. Data was collected from the Sangareddy district in Telangana, India, and multiple object detection models such as YOLOv8, YOLOv10, YOLOv11m, and RT-DETR were evaluated for performance. The system also analyzes waste disposal patterns across hourly, daily, and weekly time scales to ensure round-the-clock surveillance.

About Garbage Vulnerable Points (GVPs):

Garbage Vulnerable Points (GVPs) are locations where waste is illegally dumped due to inadequate collection or monitoring systems, leading to serious environmental degradation such as soil and water contamination, air pollution, and health risks for nearby residents.

Conference Website: https://wfiot2025.iot.ieee.org/

 October 2025