Monizor Thermal AI
An AI layer on top of the thermal cameras you already run. It doesn't just read temperatures — it understands how heat behaves over time, and turns every camera into an early-warning system.
The gap
A fixed threshold fires when it's already hot. By then a lithium cell is minutes from runaway — and the camera has thrown away the most valuable signal it ever had: the trajectory.
An 80 °C alarm on a battery module means you're watching a fire start, not preventing one.
A warm module under load and a module that is quietly accelerating look exactly the same in one snapshot.
Replacing a fleet with AI-branded hardware is slow and expensive. Your current cameras already have the data — they just don't use it.
Use case 01 · Predictive fire prevention
Lithium cells don't burst into flames out of nowhere. Long before thermal runaway, a failing cell starts heating differently from its neighbours — slightly faster, and accelerating. We track the heating dynamics of every module, every second, and raise the alarm while the temperature still looks perfectly normal.
Illustrative simulation of a typical slow-onset Li-ion failure. Real lead times depend on chemistry, load profile and how the camera sees the cells — we measure them on your site during the pilot.
Where it matters
BESS containers and rooms — megawatt-hours in one box, where one cell can take down the rest.
Charging rooms, bike storage and fleet depots where batteries charge unattended overnight.
An EV fire below a building is a nightmare to fight. Catch it while it is still a warm spot.
Hidden batteries in the waste stream are a leading cause of plant fires. Watch bunkers and conveyors.
Logistics and retail storage of batteries, e-bikes and power tools — high value, high density.
Cabinets, busbars, transformers and substations: loose contacts heat up slowly before they fail.
Use case 02 · EV / ICE recognition
A combustion car rolls in with a hot engine bay and an exhaust pipe at 100 °C+. An electric car arrives cool at the front, with a flat, even glow from the battery floor. Our model reads these signatures at the barrier in under a second — no registry lookup, no stickers, no driver input.
Event log
Simulated feed. Tariffs are examples — the rules are yours, we deliver the classification and the integration.
Who it's for
Differentiated parking fees computed automatically at entry.
Green-city policy that runs on measurement, not paperwork.
Know what actually drives in, every day.
We've already built LPR parking systems (Budapest, Debrecen, Corinthia Hotel) and installed 400+ EV chargers. Thermal classification plugs into that same gate logic — one camera pole, one decision.
The intelligence layer
We tap the streams of the cameras you already run, process them on an edge node at your site, and push decisions into the systems you already use. No rip-and-replace.
Any camera that streams over RTSP / ONVIF. Radiometric is best, not mandatory.
A compact on-site computer running our models in real time.
Decisions, not just pictures — delivered where they are useful.
Beyond fire and cars
The same engine — tracking how heat behaves over time — unlocks a lot more. Bring us the problem; we build the model.
Motors, bearings, gearboxes and conveyors run warmer for days before they fail. See the drift, schedule the fix.
Loose connections and overloaded phases trend upward slowly. Continuous watching beats a yearly inspection.
Count and track people without faces or identities — ideal for GDPR-sensitive spaces.
Curing, sealing, welding and moulding all leave a heat fingerprint. Flag the part that cooled wrong.
Self-heating in silos and hay stores, early fever detection in livestock barns.
Steam and hot-water leaks, HVAC faults and heat loss — detected as they appear, not at the next audit.
Why Monizor
Thermal AI isn't a slide deck. It's built on systems we already design, install and run for clients: cameras, networks, sensors, parking gates and the software that ties them together.
BMW Debrecen plant, with Parkl — installation, optical network, live monitoring.
Rollet (Budapest & Debrecen) and Corinthia Hotel — plate recognition, apps, payments.
Climate, energy and IoT sensor networks with anomaly alerts — the same thinking, applied to heat.
Video stays on your site. Low latency, works offline.
Thermal shows heat, not identities.
We work with the cameras you have, not the ones we sell.
Decisions flow into your existing alarms and systems.
How we start
30 minutes about your site, your cameras and your risk. We tell you honestly whether it's a fit.
We put one on-prem box on your site and connect it to one or two of your existing cameras. Nothing gets replaced.
The models learn your baseline. Together we check every alert and classification against reality.
Scale to more cameras and wire it into alarms, BMS, parking or city systems.
FAQ
No — your existing cameras stay. The only new hardware is one compact on-prem computer that runs the models. Any thermal camera that streams over RTSP / ONVIF can be a source. Radiometric cameras (temperature per pixel) give the best results; with non-radiometric ones we work on relative values. If you don't have thermal cameras yet, we select and install them too.
Not by default. Processing runs on an edge device on your premises; only alerts and metadata go out, to wherever you choose.
It depends on the chemistry, the failure mode and how well the camera sees the cells. Gradual internal faults show up as abnormal heating dynamics minutes to hours ahead; a sudden mechanical impact gives far less warning. The pilot is where we measure it on your setup.
A hybrid that has been running its engine looks like a combustion car; one arriving in electric mode looks largely electric — which is arguably what a congestion charge should care about. Where a strict legal category matters, we combine the heat signature with LPR and registry data.
Every decision comes with a confidence score. Accuracy depends on camera angle, weather and how long the car has been driving, so we validate it on your site during the pilot before it is used for any pricing decision.
Thermal images don't show faces or readable features, which makes them far easier to deploy in public and semi-public spaces. When combined with LPR, standard data-protection measures apply — we help set them up.
Book a demo
Tell us about your site. We'll get back within one business day with a short call and an honest view of what's possible.
We'll be in touch within one business day. Questions in the meantime: info@monizor.com