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Traditional fire detection starts at smoke. Underhood starts at risk assessment, hours to days earlier. Edge sensors, maintenance history, and a global incident database combine into a single score for every vehicle in your fleet.
No single signal is enough. Underhood combines five independent data sources into a weighted composite score for every vehicle.
Temperature, smoke, vibration from ESP32 edge devices in SB1/SB2/SB3 vehicle zones.
When was the last battery, electrical, or fire-system inspection, and what did it find?
Age, fuel type, battery chemistry, safety equipment: the risk baseline per vehicle.
Are shift checklists being completed on schedule? Compliance predicts incidents.
How does this make/model compare to the global fire incident database?
Most vehicle fires don't happen suddenly. They build up. A bearing overheats. A battery cell runs hot for days. Smoke sensors in a well-monitored vehicle would catch these patterns hours, or days, before ignition.From the Underhood field guide: Detecting Fire Risk Before It Becomes a Fire
Edge hardware, cloud platform, and community intelligence: three pillars of fleet fire-risk management.
ESP32-based sensor boxes. SB1 cooling and HVAC, SB2 exhaust and transmission, SB3 passenger and fuel. PT100 probes, MQTT telemetry every few seconds.
See the sensor kit →Real-time alerts with rate-of-change detection, maintenance work orders, inspection checklists, and multi-tenant fleet oversight.
Tour the platform →A global, curated dataset of public-transport fire incidents, classified by vehicle, propulsion, fire origin, and cause. Free to browse.
Browse the database →Order the kit, install it yourself with the shipped QR-guided wizard, and start scoring your fleet the same day. Need help shaping a risk-management strategy? Our team runs paid onboarding and advisory engagements.