Smart City Gnosys
Smart city article details
| Title | Drone Management System To Detect Fire And Potholes On The Road Towards Smart City |
|---|---|
| ID_Doc | 21070 |
| Authors | Adhikary S.; Guha A.; Majumder S. |
| Year | 2025 |
| Published | Cyber-Physical Systems for Innovating and Transforming Society 5.0 |
| DOI | http://dx.doi.org/10.1002/9781394197750.ch4 |
| Abstract | Urban fires and road potholes have been major issues for many nations. There are numerous strategies available now to combat these serious issues. The primary goal of these solutions is to mitigate the damage that fires and potholes on the road create by employing early detection techniques. In this paper, we have covered contemporary technology for potholes and fire early detection and control. Here, we utilize an unmanned aerial vehicle to record footage of the roadside and on the road, and our artificial intelligence-based program will recognize the video and identify fire and potholes in the road using an artificial neural network. The research presents and analyzes numerous fire and pothole detection scenarios by using YOLO v5. The accuracy proven in the case of pothole-detection is 86.55%, whereas accuracy is 90.44% in fire detection. This system setup is useful for either of the detections and lets the designated authorities be reported. A single Smart Drone is capable for the purposes and is modular in nature, which makes our system robust and even more efficient to implement. © 2025 Scrivener Publishing LLC. |
| Author Keywords | CNN; LTE; RPA; UAV; YOLO |
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