Operations, Facilities & Aviation
Computer Vision Monitoring System
Computer Vision
A visual-plus-audio fusion system that watches and listens to detect faults — cracks, leaks, and failing equipment — and raises actionable diagnostics in real time.
The challenge
Manual monitoring of cameras and equipment meant faults — structural cracks, leaks, fire risks, failing motors — were caught late, driving downtime and safety risk.
What we built
We built a multi-modal fusion system: a vision model (YOLOv8/CNN) detects cracks, leaks, and fire risks while an audio model analyses spectrograms for hissing, dripping, and grinding. A fusion engine combines sight and sound for confidence and issues actionable diagnostics — deployed across hybrid edge/cloud and retrained on the client's own data in a continuous-learning pipeline.
Results
- Continuous, automated 24/7 monitoring
- Combined visual + audio detection for confidence
- Actionable diagnostics with recommended actions
- Proven across facilities and airport operations