uzumstanley/Fire-Detection-System
Computer Vision using YOLOV8
This system helps safety officers, facility managers, or environmental protection personnel automatically identify fires in images or video streams. It takes visual data as input and outputs processed images or videos with detected fire instances clearly marked. This is ideal for anyone needing automated, real-time visual fire monitoring.
Use this if you need a fast and accurate way to automatically detect fire in surveillance footage, drone imagery, or other visual inputs.
Not ideal if you need a comprehensive fire suppression or alarm system, as this project focuses solely on visual detection.
Stars
12
Forks
2
Language
Python
License
—
Category
Last pushed
Dec 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/uzumstanley/Fire-Detection-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jonasrenault/orion
Orion - Automated Target Recognition of Military Vehicles in Video Data
roboflow/dji-aerial-georeferencing
Detect objects in drone videos and plot them on a map
hmakelin/gisnav
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
atulyakumar97/fire-and-gun-detection
Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and...
Orange-OpenSource/marine-detect
Object detection models for identifying species in marine environments.