Fire and Smoke Detection Technologies (Q166768): Difference between revisions
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Revision as of 14:04, 22 June 2024
This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, an
- Computer Vision
- Fire Detection
- Smoke Detection
- Convolutional Neural Networks
- Video Surveillance
- Forest Fire Monitoring
- Unmanned Aerial Vehicles
- Image Processing
- Real-Time Detection
- IoT-Based Systems
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Fire and Smoke Detection Technologies |
This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, an |
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