Case study · Edge-to-cloud IoT telematics

From GPS dots on a map to who is driving, how, and the footage to prove it.

A production IoT platform for commercial fleets that pairs in-vehicle edge vision with a cloud event backbone - verifying the driver biometrically at ignition, isolating collision footage automatically, and streaming a cabin camera on demand without leaving a video link open.

Commercial fleet · telematics
Edge ADAS / DMS · biometrics
Kafka · Protobuf · mTLS
On-demand WebRTC evidence

Every figure below is a build fact verified by the engineering team - we do not publish invented performance percentages for this engagement.

How every event becomes evidence

Something happens in the cabHarsh brake · lane departure · eyes off road · unknown face
↓
The edge decides, on-deviceADAS / DMS inference · cabin warning · clip window marked
↓
geofence
notify
data
video
profile
↓
Persistent mTLS ingress → Kafka, Protobuf frames · sync handshake on reconnect
↓
Evidence lands and is retainedClip to S3 · record to MongoDB · one alert to the dispatcher

As builtVerified

0

Architecture tiers, edge device to identity provider

0

Core microservices on the event backbone

0

Storage tiers behind every evidence clip

0%

Telemetry or video loss under erratic 4G/5G

The client

A commercial fleet technology operator running connected vehicles across long-haul, last-mile and passenger transport. Identity withheld at their request.

The challenge

Telematics answered where the vehicle is and nothing about who was driving, how, or what happened - and the footage was gone before anyone asked.

What we built

An edge-to-cloud platform: on-device ADAS/DMS inference, biometric driver verification, automatic evidence capture, and video on demand.

The outcome

Every incident now produces a clip, a position, a timestamp and a verified driver - the four things an insurer actually asks for.

01 The client

A fleet is not a set of coordinates. It is people, cargo and liability.

Their existing telematics answered one question well - where is the vehicle - and left the expensive ones to phone calls and paperwork.

Two consumers, one platform
In the moment

The dispatcher and the driver

  • Need an alert while the vehicle is still moving, not a nightly report
  • Need to see the cab, on demand, to confirm a driver is alert
  • Need the cabin warning to fire at the edge, with no round trip to the cloud
  • Act on a signal, not a dashboard
After the fact

Compliance, insurance and the fleet manager

  • Need footage of the incident itself, not the minute either side of it
  • Need the record to be tamper-resistant and time-anchored
  • Need behaviour aggregated into a scorecard a driver can be coached against
  • Defend a claim with evidence, not recollection
The core question

Every incident asks the same thing twice: what happened, and who was at the wheel when it did? Legacy telematics can answer neither from the record it keeps - which is why the answer had to be produced at the edge, in the moment, and shipped somewhere durable before the vehicle reached the next cell tower.