Sense AI™ Fire
Automated Fire Detection at Waste Facilities
AI-powered continuous monitoring solution that detects fire in its earliest stages — protecting your people, your assets, and your operational continuity
The Challenge
Waste facilities face a fire risk that traditional systems can't keep up with
Waste and recycling facilities are among the highest fire-risk environments. The combination of combustible materials, spontaneous combustion, and the sheer volume of waste stockpiled on site creates conditions where a fire can escalate from a smoulder to a catastrophic event in minutes.
Traditional detection systems — smoke alarms, heat sensors, and manual monitoring — werenot designed for these environments. Dust, steam, outdoor lighting, and truck exhaust createconstant interference that causes false alarms, alert fatigue, and — critically — misseddetections.
The Cost of a Missed Detection
A fire at a waste or recycling facility can result in:
Destruction of high-value plant, equipment, and stockpiles
Significant environmental harm — toxic smoke, contaminated runoff, and air quality impacts on surrounding communities
Regulatory investigation and potential licence risk
Public liability exposure and reputational damage to council or operators
Sense AI Fire Detection
Detecting fire before it takes hold
Vision Intelligence's Sense AI Fire Detection platform is a purpose-built, AI-driven monitoring solution designed specifically for the challenging conditions of waste and recycling facilities.
Sense AI uses computer vision to detect early signatures of combustion — faint smoke and flame flicker — well before a fire establishes.
Our proprietary platform combines smart camera hardware with multiple layers of cloud-based AI verification, cross-checking detections in real time to dramatically reduce false positives and deliver alerts your team can act on with confidence.
Key Stats:
30 fps — Cameras scan the site 30 times per second for fire and smoke signatures
<2 min — Detection of a flame as small as 0.5m² within 1–2 minutes
Continuous Edge Monitoring
Smart camera Sentinels with built-in AI computer vision scan the site continuously at 30 frames per second, looking for specific flicker patterns and motion signatures unique to fire and smoke. The integrated 4G IoT module connects on-the-edge processing with advanced cloud intelligence
Expert AI Validation (Cloud)
When a potential threat is identified, the system immediately engages Vision Intelligence's proprietary AI models. Each scene is analysed with contextual reasoning to distinguish real fires from situational noise — truck exhaust, dust, steam, and outdoor lighting changes that would trigger conventional systems.
Multi-layer cloud AI verification
Temporal Verification
The system analyses changes across sequential images over time, confirming the progression of a detected threat before an alarm is triggered. This temporal check is critical for ruling out momentary interference and ensuring only genuine fire events generate alerts.
False positive elimination
Automated Event Logging
All validated events are automatically recorded with timestamp, camera location, and cropped image evidence
Full audit trail, automatically
Real-Time Alerts & Monitoring Response
Real-time alerts are sent immediately to your nominated Point of Contact, with short video clips and event summaries.
ASIAL-accredited monitoring facility
Engineered for precision in the harshest environments
Precision Targeting: Engineered to detect a flame as small as 0.5m² and smoke
plumes of 1.0m² at 30 metres distance, within 1–2 minutes of ignition.24/7 Reliability: Advanced infrared optimisation ensures the system is effective day
and night, regardless of lighting conditions.Interference Filtering: A multi-stage validation process reduces false positives,
ensuring your teams only respond to genuine emergencies.
Our track record of trusted partners and clients
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