IoT telematics is the use of a connected device in a vehicle to report where the vehicle is, how it is driven and what condition it is in. This page explains the parts inside a telematics unit, what AI adds, which rules apply in the EU and the US, and how to choose or build devices.
A telematics device combines satellite positioning, data from the vehicle and a cellular connection. AI telematics adds computer vision, usually on a processor inside a dashcam, which then detects risky driving, distraction and road events itself, instead of sending raw video to the cloud.
This page covers the devices and their data. For the software that fleets use to act on that data, see IoT fleet management.
Inside an IoT telematics unit
| Component | What it provides |
|---|---|
| GNSS receiver | Position, speed and heading from GPS, Galileo and other satellite systems |
| Accelerometer and gyroscope (IMU) | Detection of harsh braking, hard acceleration, sharp cornering and crashes |
| Vehicle bus interface | Odometer, fuel, engine faults and ignition state. Light vehicles use OBD-II, heavy trucks use SAE J1939 over CAN, and some units read the CAN bus directly. |
| Cellular modem | LTE-M or LTE Cat 1 for data-only units, and faster LTE categories for video. An eSIM lets the device switch networks. |
| Inputs and outputs | Door and power take-off sensors, temperature probes and immobilizer relays |
| Backup battery and power management | Reports after the vehicle loses power, and a low sleep current so the device does not drain the vehicle battery |
| Edge AI processor (in AI dashcams) | Runs vision models on the road-facing and driver-facing cameras |
Network shutdowns add cost over a device's life. Many 2G and 3G networks have closed, and devices that depended on them stopped reporting. New hardware should use LTE-M or LTE Cat 1, so check each operator's shutdown plans in every market, and use over-the-air firmware updates so devices can change settings after installation.
What AI telematics adds
Road-facing vision
Models on the device detect short following distance, lane departure, rolling through stop signs, red-light events and collisions. The device uploads only events and short clips, which saves mobile data and limits how much video leaves the vehicle.
Driver monitoring
Driver-facing cameras with infrared light detect phone use, eyes off the road, drowsiness and a missing seatbelt. Driver monitoring is the most sensitive feature: drivers and unions often object, and data protection law in some regions limits continuous recording in the cab. A fleet needs a written policy on when the device saves footage and who can view it.
Cloud-side models
Fleet-level analytics run in the cloud on combined data, such as driver risk scores, maintenance predictions from fault codes, fuel anomaly detection and route planning. Video review tools also use models to pick which clips a safety manager should watch first. The page on AI video analytics software covers related methods.
False alerts are the main problem with AI telematics, because drivers ignore or disable a system that alerts too often. Set alert thresholds for each vehicle type, and let coaches mark wrong events so the models can be retrained.
Regulation and standards
| Rule | Region | What it means for telematics |
|---|---|---|
| Electronic logging device (ELD) rule | United States | FMCSA requires most commercial drivers under hours-of-service rules to record duty status with a registered ELD connected to the engine. |
| Smart tachograph (Regulation 165/2014 and the 2020 Mobility Package) | European Union | Smart tachographs record position at the start and end of the working day. Version 2 has been required in newly registered heavy vehicles since August 2023 and records border crossings. Vans over 2.5 tonnes on international trips have needed a smart tachograph since July 1, 2026. |
| General Safety Regulation 2019/2144 | European Union | New vehicles need a drowsiness and attention warning system. An advanced driver distraction warning system has been mandatory for all new vehicles since July 2026. The data from these systems must stay in a closed loop in the vehicle. |
| GDPR and similar laws | EU, UK and others | Location data and driver video are personal data. A fleet needs a lawful basis, clear notice to drivers and retention limits. |
| Radio and EMC approval | Each market | The hardware needs radio approval and automotive electromagnetic compatibility testing before sale. |
Built-in driver monitoring systems from the vehicle maker do not replace fleet telematics. The safety regulation keeps the data from these built-in systems inside the vehicle, so a fleet that wants event reports still needs its own device.
Where blockchain fits
Telematics data belongs in a time-series database with strict access control. A ledger helps only when several parties rely on the same vehicle record and no single party should control it:
- Vehicle history and odometer integrity: the device signs mileage readings, so later buyers can detect rollback.
- Usage-based insurance and leasing: the insurer, the lessor and the fleet share agreed usage figures.
- Cold-chain evidence: shipper, carrier and receiver share temperature logs, as described under supply chain development.
A ledger proves only that data did not change after it was recorded, while trust in the reading itself depends on device identity, signed firmware and tamper detection. The page on blockchain IoT development covers these trade-offs.
How to choose or build telematics devices
- Define the data you need: location only, engine data, video, driver identification or temperature.
- Decide whether to buy or build. Standard trackers and AI dashcams cover most needs. Custom hardware is worth its cost only at high volumes or for special vehicles.
- Check vehicle compatibility, especially CAN data, which differs across makes and models.
- Plan connectivity for every market, with LTE-M or Cat 1 modems and roaming SIMs.
- Integrate the data into your platform through the vendor's API or MQTT, and test installation in real vehicles.
- Check compliance with tachograph or ELD rules and with data protection law before rollout.
Factories and plants use similar device and data patterns; see industrial IoT solutions.
Frequently asked questions
What is the difference between a GPS tracker and a telematics device?
A basic GPS tracker reports location. A telematics device also reads data from the engine, measures driving behavior with motion sensors, takes inputs from other sensors and often supports two-way communication.
What is AI telematics?
AI telematics uses machine learning models on vehicle data and camera video. Models on the dashcam detect distraction, tailgating and collisions. Models in the cloud score driver risk and predict maintenance.
Are driver-facing cameras legal?
In many places they are legal with conditions. Data protection rules may require clear notice, a legitimate purpose, limited retention and sometimes consultation with workers. Check local law and labor agreements.
Will my telematics devices stop working when networks shut down?
Devices that rely on 2G or 3G have already stopped working in many markets. LTE-M and Cat 1 devices are the current choice, but check operator shutdown plans in each country where your vehicles run.