Vape Detection
AI-powered detection that helps schools tackle vaping with real-time alerts and data-driven safeguarding.
Tackling the Growing Vaping Problem
Vaping among students is a growing concern for UK schools. Traditional smoke detectors are ineffective against the fine particles and chemical compounds in vape emissions. EnviroSentry uses advanced environmental sensing and AI-powered analysis to detect vaping in real time — discreetly and accurately.
Intelligent Detection, Fewer False Positives
Continuous Monitoring
Gas, particulate and humidity sensors continuously sample the air in high-risk areas such as toilets, changing rooms and secluded corridors.
AI Analysis
Machine learning algorithms trained on vaping signatures analyse sensor data in real time, distinguishing vaping events from normal environmental changes.
Instant Alert
When vaping is detected, real-time alerts are sent to designated staff via the dashboard, SMS or email — enabling rapid, targeted response.
Log & Learn
Every alert is logged with location data and timestamps. The AI model adapts to your school's unique environment, improving accuracy over time.
Discreet, Effective Coverage
EnviroSentry sensors are compact and ceiling-mounted, making them ideal for discreet deployment in the areas where vaping is most likely to occur. Powered over Ethernet with no batteries to replace, they provide uninterrupted 24/7 monitoring.
The system integrates with existing school IT infrastructure and provides historical data for identifying persistent problem areas. This enables a proactive approach to intervention, education and policy development.
Beyond Simple Smoke Detection
- Cannot detect vape aerosols
- No location logging
- Frequent false alarms
- No data or trend analysis
- Battery dependent
- AI-powered vape detection
- Location & time logging
- Machine learning reduces false positives
- Historical data & trend analysis
- PoE powered — no batteries
- Real-time alerts to staff
- Also monitors air quality