Computer visionSafety & surveillance

Real-time fire and hazard detection from video

Live and recorded camera feeds are analyzed in real time, with fire and flame events flagged and streamed to a browser dashboard.

Real-timefire and flame detection on live video

0.7confidence threshold tuned for few false alarms

0plugins needed: viewable in any browser

The challenge

Monitoring teams couldn't watch every camera continuously, so fire and flame events risked being noticed too late.

What we built

Video frames annotated with bounding boxes for fire and flame classes and exported in YOLO format.
A custom-trained YOLOv8 model tuned to a 0.7 confidence threshold to keep false alarms low.
A centroid tracker assigns unique IDs so each event is counted once.
A Flask service streams the annotated video to any browser and exposes live counts through a JSON API.

Results

Continuous automated monitoring of every feed
Events counted once, not per frame
Live dashboard and API for alerting systems

How it works

Step by step.

Ingest

Live or recorded feeds are read frame by frame.

Detect

A custom YOLOv8 model flags fire and flame.

Track

Unique IDs prevent double-counting of the same event.

Stream

Annotated video and live counts are shown in the browser.

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At Techno Genesis, we’re passionate about crafting digital solutions with the latest technology, ensuring our clients stay ahead and embrace the future with confidence and innovation.