AI Camera Solutions

AI cameras turn every fleet trip into a coaching record and an evidence library on the same platform. The road-facing lens watches the route ahead, the driver-facing lens supports the driver in the cab, and each flagged event lands on TG Online with a timestamp, GPS pin, speed reading and severity grade attached. Coaching, claim defence and compliance reporting all run from the same dataset, so a fleet manager pulls the clip a broker has asked for in seconds rather than scrubbing through trips on a laptop.

Direct answer

TG Tracking AI Camera Solutions combine driver-facing AI, road-facing ADAS and cloud video on the same platform that runs your Fleet Tracking and Management, Trailer Management and Mining IVMS. The cameras alert the driver in the cab in real time, push the clip to the cloud, and feed events back into Business Intelligence Dashboards so coaching, claims and compliance run from one place.

What the AI camera actually does

A passive dashcam records video. An AI camera reads the video as it happens, decides what is worth flagging, and acts before the event becomes a claim. Two camera lenses, two AI models, one shared timeline.

Driver monitoring (DMS)

The driver-facing lens looks for the things that cause crashes long before the crash happens. Phone in hand, eyes off the road for too long, no seatbelt, signs of fatigue or drowsiness, smoking and eating while driving. When one of those triggers, the cab speaker issues a voice prompt. Most drivers correct the behaviour inside the same trip, which is the point: the goal is the corrected behaviour, not the punitive clip.

Road-facing AI (ADAS)

The road-facing lens watches the road and the vehicles around it. Tailgating, lane departure, forward collision risk, pedestrian proximity, unsafe following distance and sudden braking ahead. ADAS gives the driver a fraction of a second of warning, which is often the difference between a soft stop and a rear-ender on the M1.

Automatic event recording

Every flagged event gets a clip, a timestamp, a GPS point, a speed reading, a severity grade and the driver-facing and road-facing video uploaded to the cloud. Your team does not have to ask for the footage. It is in the alert.

Which fleets and vehicles AI cameras fit

AI cameras pay back fastest in fleets with high mileage, third-party drivers, third-party cargo, or a regulator on the other side of the relationship.

Vehicle types

Long-haul trucks running the N3 corridor between Johannesburg and Durban, last-mile delivery vans, rigid trucks on inter-city routes, security and cash-in-transit fleets, public-transport and bus operators, mining LDVs and personnel carriers, taxi and ride-share fleets, and rental fleets where the operator carries the residual risk.

Industries

Logistics and transport, mining, construction, security, public transport, food delivery and last-mile courier, refrigerated and cold chain transport, and rental and leasing. The same camera hardware fits every one of those, but the alert configuration and the coaching workflow change by industry. See Industries we serve for the configurations that ship by default.

Multi-camera setups

The dual-facing unit covers most fleets. For high-value cargo, hazmat, mining haulers or cash-in-transit, you can add side cameras, rear cameras and additional in-cabin cameras for a 360 view. Multi-camera footage is stitched into the same event clip in the platform.

Why TG Tracking AI cameras: the integrated coaching loop

Every camera vendor will tell you their AI is good. The question is what happens after the event. With a fragmented stack, a flagged event lives on a camera vendor's portal, a coaching note lives in a spreadsheet, the driver's score lives in a different system, the insurer's evidence pack lives in your inbox, and nobody can answer the question "did this driver actually improve" three months later.

TG Tracking is one platform. The event from the AI camera lands next to the GPS trip, the harsh-event score from the IMU, the fuel anomaly from the same trip, the geofence breach if there was one, and the driver's full record. The coaching workflow runs from the same place: assign the event to a coach, mark it acknowledged, log the conversation, and watch the recurrence rate fall. Your safety officer, fleet manager and HR team see the same record. Your insurer gets a clean evidence pack with one click. That single integrated loop is what most fleets are buying when they say they are buying AI cameras.

South African context: AARTO support, route coaching and claim evidence

South African road realities shape which AI camera features matter most. AARTO infringement reviews start with HD video plus speed and location, so the operator's response is built on data rather than memory. The driver-facing camera serves as a neutral witness in the cab on commercial routes where that record is useful. The N3, N1, N2 and N4 corridors have well-known fatigue stretches where a DMS drowsiness alert at 03:00 on the descent into Mooi River keeps the driver supported when it matters most. Cross-border operators on the Maputo and Beit Bridge corridors use the cameras to satisfy EU clients and to keep an authoritative record of who was driving and at what speed for every load.

The cameras run on the same multi-network connectivity the rest of the platform uses, so a driver in a thin-coverage stretch of the Karoo or the Highveld still records locally and uploads when signal returns. Footage is encrypted in transit and at rest.

Frequently asked questions

Talk to our safety team

AI cameras are often the highest-impact add for a fleet that carries safety, regulator or insurance expectations. Book a camera demo and we will walk you through the cab alert, the event clip, the coaching workflow and the evidence pack, with your fleet shape in mind.