- Fuel becomes an auditable line item — litres per trip, per driver, per truck — instead of a monthly surprise.
- Trailers and their doors report position and state, so assets earn while parked and are found when moved.
- Deliveries close with time-stamped video proof, so disputes end at the footage instead of at the argument.
- Your TMS, ERP or analytics stack reads the same events through open APIs — our hardware feeds the systems you already run.
AI Fleet Safety and Telematics for Trucking
Factory-built AI recorders and GNSS trackers that turn every truck mile into measurable cost control.
What changes when you deploy
Scenarios on this page
SOHANIoT is a manufacturer, not a reseller. The recorders, trackers and AI cameras in this solution are designed, built and tested in our own factory, so GNSS positioning and video evidence are not features we license from a vendor — they are the core of what we build. That hardware gene changes what a telematics project feels like: the device on the truck is the device we stress-tested, and the engineer answering your integration questions is the one who can change its firmware.
The modules below are organized around the moments that cost a trucking operation money — who drives, what the truck carries, how fuel is burned, and what can be proven at the dock.
Driver Identification
Know who was behind the wheel before the trip logs its first mile.
Sign-in that matches the depot flow
Drivers sign on with face, a contactless card or a PIN on the SOHANIoT unit — whichever the yard already uses. The sign-on writes straight into the trip record, so there is no second data entry and no identity guesswork.
Condition checks before the keys move
Where fleets want it, the sign-in step can include an optional condition check, such as an alcohol screening device fitted at the gate. The result is recorded, not assumed, and the office holds the record.
One driver profile across every device
Identity links the DVR, the GNSS tracker and the AI camera to the same person for the whole shift. Every event — a harsh brake, a door alarm, an impact — lands on one driver record, which later feeds fair coaching and accurate cost allocation.
A shift history that answers disputes
Digital sign-in builds a timestamped log of who drove what, and when. Questions from customers, insurers or labor records are answered from the cloud, not from memory.
Cargo Loading Visibility
A parked trailer earns nothing, and a misdirected load costs twice.
Find a usable trailer before the driver leaves the cab
SOHANIoT GNSS Trackers report each trailer's position and last-known load state to the SOHANIoT Cloud Platform. Dispatch sends the driver straight to a free unit instead of letting them hunt across the yard.
Loading sessions with a record
Door sensors log when a bay opens and closes, while the dock camera keeps the footage of what went in. The office compares planned against actual load time and spots a dock that has become a bottleneck.
Utilization numbers, not impressions
The platform tracks how long each trailer sits empty between jobs. Fleets use the report to rebalance the pool, retire rarely used units, or negotiate rates from facts about real asset use.
Load state that travels with the asset
The same status feed follows the trailer through every leg of a trip. Dispatchers and sales see what is available where — and stop promising capacity that is not actually there.
Driving Safety
The cheapest accident is the one that never happens — and most collisions announce themselves in advance.
A second pair of eyes in the cab
The SOHANIoT ADAS-DMS Camera watches both the road and the driver. Fatigue, distraction, tailgating and drifting trigger an immediate in-cab alert, so the correction happens at the wheel, not in the office afterwards.
Edge AI that works beyond cell coverage
Detection runs entirely on the device. On remote corridors with no signal, the cameras keep watching, and events upload automatically when the truck returns to coverage.
Alerts that escalate only when it matters
Everyday events stay in the cab. Events that cross a severity threshold notify the fleet office with position and context, so a manager can intervene mid-trip instead of hearing about it from the claims department.
Context behind every warning
Each alert is stored with a short video clip. Coaching and driver defense both start from footage, not from a bare timestamp.
Blind-Spot and Visibility Assistance
Around a truck, what you cannot see is what you end up paying for.
The whole perimeter in one view
Four cameras around the vehicle are fused into a top-down picture on the cab display. In tight yards and at docks, the driver maneuvers with the full surroundings visible instead of one mirror at a time.
Coverage where the mirrors end
Side cameras and BSIS-class detection watch the blind zone along the trailer during turns and lane changes. When a pedestrian or two-wheeler sits where the mirror stops, the driver hears about it before the maneuver, not after.
A rear view that follows the trailer
A camera on the trailer tailgate feeds the cab display without a cable run down the chassis; the link establishes itself each time the combination couples. Backing a long trailer becomes a visual task, not an exercise in guesswork.
Cameras built for road weather
Housings and lens coatings are selected for spray, dust and night shifts. The image that reaches the driver stays usable in the conditions where most low-speed damage happens.
Theft and Asset Security
An asset that can be found is an asset that rarely stays stolen.
Trackers that live on the trailer
SOHANIoT GNSS Trackers ride on the trailer itself and report on their own schedule, waking on movement. Position is known whether the trailer is coupled, parked in a lot, or sitting on a railcar.
Door events that mean something
A door sensor separates a scheduled stop from an anomaly. If a door opens outside the places and times the fleet defines, the office is alerted while there is still time to respond.
Power for long, unpowered stretches
The tracker budgets its own power and reports sparingly while parked. A trailer can stay monitored through long periods off the grid without a charge.
Evidence at the moment of alarm
When an alarm fires, connected cameras capture the surroundings and upload the clip. A recovery team arrives with a picture of the event, not just a coordinate ping.
Accident Detection
The first minutes after an impact decide what the accident costs.
Impact sensing with the full story
The SOHANIoT AI Mobile DVR's built-in sensor flags a collision and protects the footage from before and after the event from being overwritten. The clip stays intact even while the vehicle still has power.
Fewer false alarms through edge checks
The unit compares the sensor reading with the video before escalating. Potholes and dock bumps do not page the office — when an alert arrives, it is worth acting on.
The office knows first
On a confirmed event, the platform pushes location, time and a video link to the people on call. They can confirm the driver's status and trigger help or a tow while the situation is still developing.
Claims that start from evidence
Footage exports as a clean, timestamped package for insurers and authorities. The record shortens the loop between an incident and a settled claim.
Operation Visibility: Fuel and Faults
Fuel is where fleet profit leaks first — and hides best.
A fuel ledger per trip, not per month
The recorder's ignition state and the tracker's mileage combine into distance, running time and idle time for every trip. Where the vehicle exposes fuel data, consumption is attached to a route, a driver and a shift.
Idle and behavior separated out
Idle hours, harsh braking and speeding are logged as their own line items. When coaching is tied to fuel, drivers see that smooth operation is not a style preference — it is a cost number.
Fault codes that arrive as instructions
On vehicles that expose engine data over the standard bus, the unit reads fault codes and files them with time and severity. The platform turns a raw code into an action — finish the run, check at the next stop or book the bay — so maintenance is planned instead of reactive.
The exception list, not the whole fleet
Dashboards rank vehicles that run over budget or carry open faults. A manager reviews the outliers first, instead of scanning every truck in the fleet.
Cargo Unloading and Verification
A delivery is finished when you can prove what came off the truck — and when.
A clear view into the dock
Rear and side cameras guide the driver through the final approach to the bay. The bumps and scrapes that happen in the last few meters stop being a monthly repair line.
Door-to-door proof at the destination
When the truck reaches the agreed delivery point, the door sensor and cameras timestamp the unloading. The record shows what was on board, when the doors opened and what came off — a direct answer to any short-delivery dispute.
Unplanned stops flag themselves
If a door opens between depot and destination, the office knows before the load disappears. Exceptions surface in real time instead of appearing in the weekly reconciliation.
Proof that plugs into billing
Event records export to the transport management system through the open API. Invoices and proof-of-delivery files are built from the same trusted events.
Driver Coaching and Risk Analytics
Coaching works when the driver who needs it is the one you call this week.
Risk scores that rank the fleet honestly
Driving events are weighted and scored automatically across the fleet. Trainers work from a list ordered by measured risk, not by the loudest complaint.
SOHAN CoPilot turns trips into debriefs
After a shift, our AI assistant distills the day into a short, plain-language brief for each driver: the moments that cost fuel or safety, and the one change that would avoid them. Drivers read it in minutes; managers check whether behavior actually changed.
Trends across weeks, not snapshots
Behavior analytics show whether a driver is improving after coaching or drifting back. Routes and vehicles that generate disproportionate risk become visible before they generate a claim.
Fuel and safety in the same conversation
The same records feed the fuel ledger and the risk score, so coaching speaks one language — cost. A smoother driver is safer, and a safer driver is cheaper; the numbers agree.
Built for Integration
Keep the stack you already run. Add hardware that feeds it.
Open APIs for the systems that matter
Position, ignition, doors, impacts and driver sign-in are all available through documented APIs and webhooks. Your TMS, ERP, insurance and analytics tools read the same events the platform shows.
Raw data, no lock-in
Integrators and fleets export full event history and choose their integration level — live webhooks or nightly batches. We compete on the hardware and the AI, not on holding your data.
Partner and white-label programs
Integrators can deliver this solution under their own brand, with the SOHANIoT Cloud Platform or a custom dashboard. When a vertical need is new — reefers, tankers, specialized trailers — we adapt firmware and hardware rather than asking you to change your process.
Engineers at the other end of the API
Documentation, sample code and a direct line to the engineers who build the devices. Integration questions are answered by people who can change the firmware, not by a ticket queue.
Why Fleets Choose SOHANIoT
Built and tested by the manufacturer.
The recorders, trackers and cameras ship from our own facility, with certified industrial-grade hardware as standard. The supply chain is one step shorter — and so is the distance between a problem and the engineer who can fix it.
Open where it counts.
Your stack, our hardware and AI. Open APIs, data export and white-label options mean the solution fits the operator's systems — not the other way around.
Right-sized and fast to deploy.
Start with trackers and recorders, add AI cameras and modules as operations demand. No platform purchase is required before the first device ships.
Talk to an Engineer
Want the full product lineup behind this solution? Talk to a SOHANIoT engineer.
Talk to an engineerExplore the hardware that powers it — see the SOHANIoT AI Mobile DVR and GNSS Trackers.

