Priya, K Leena and Kumaran, G Selva and S, Logie and C, Poorani and Selvan, R Mari (2025) ViT-YOLO: A Hybrid Transformer-CNN Approach for Real-Time Fire and Garbage Detection in Urban Surveillance. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
![[thumbnail of 79492.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "79492.pdf")
PDF
79492.pdf
Download (525kB)
Abstract
Contemporary security systems are advancing focusing on public safety and environmental cleanliness. Real-time fire and garbage Detection system using AI from CCTV or uploaded video: This project describes real-time AI enabled surveillance systems that can detect fire and garbage from CCTV streams o
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:18 |
| Last Modified: | 16 Apr 2026 15:55 |
| URI: | http://eprints.eai.eu/id/eprint/60138 |
Actions (login required)
- View Item