Reduce Accidents & Protect
Cargo using AI Dashcam

A standard dashcam records video to a local memory card for retrospective review — no connectivity, no real-time analysis, no telematics integration. Video telematics combines high-definition road-facing and driver-facing cameras with onboard AI, cellular connectivity, and GPS/sensor integration. The AI analyses the camera feed in real time to detect driver safety events: distraction, drowsiness, phone use, forward collision risk, lane departure, and obstacle detection. On detection, the system simultaneously alerts the driver in-cabin, saves the video clip to cloud storage, and links it with GPS location and telematics event data. Fleet managers can review clips immediately from the dashboard without waiting for vehicle return.

Driver-facing camera detects: distraction (eyes off road for extended periods), phone use (characteristic hand and posture position), drowsiness (prolonged eye closure or head nodding), seatbelt non-compliance, smoking in the cabin, and driver absence from seat while vehicle is in motion. Road-facing camera detects: forward collision risk (following distance relative to speed), lane departure without turn signal, and in advanced configurations, speed sign recognition for automated correlation. Each event generates a real-time in-cabin driver alert and a fleet manager notification with a linked video clip in the dashboard.

Indian highways have significantly higher commercial vehicle accident rates driven by road quality variation, mixed traffic (slow-moving vehicles and pedestrians on national highways), high-speed driving culture, and chronic fatigue from long-haul routes with limited rest infrastructure. AI dashcams address several risk factors directly: drowsiness detection is particularly relevant for overnight long-haul drivers — the immediate fatigue alert when early drowsiness signs appear can prevent the driver from falling asleep before they are aware of the danger themselves. Distraction detection catches phone use, a major contributing factor. Forward collision warnings provide reaction time for obstacles common on Indian highways — slow tractors, cattle, and broken-down vehicles.

Commercial vehicle accidents in India regularly result in contested liability with conflicting accounts. Video evidence from a dashcam provides objective, timestamped footage of exactly what happened — when a truck is not at fault (a car cutting into the lane, an animal crossing, a stationary vehicle without lights), the footage provides clear evidence for police, insurance assessors, and courts. This protects against fraudulent accident claims where trucks are deliberately targeted because they carry commercial insurance. Some Indian insurers are offering commercial vehicle premium discounts for vehicles fitted with certified AI dashcam systems, recognising documented reductions in accident frequency.

Event-based recording saves video clips triggered by specific events — harsh braking, harsh acceleration, collision, panic button, or AI-detected safety event — rather than continuous footage. This approach provides: storage efficiency (only event clips saved reduces storage required significantly); retrieval efficiency (managers go directly to event-linked clips rather than searching hours of footage); and bandwidth efficiency (event clips practical to upload over cellular, continuous streams are not). Event clips are typically 15 to 30 seconds around the trigger event. Continuous recording is maintained on local device storage as a backup, available for extraction at the depot if needed.

The regulatory direction is clearly toward broader video telematics requirements, though universal mandates are not yet in place. Front-facing cameras are already mandated or strongly encouraged for buses in several states, particularly school buses and state road transport corporation buses. Some state transport authorities include dashcam requirements in permit conditions for specific high-risk vehicle categories. The AIS 140 mandate establishes the connectivity framework on which video requirements can be layered by subsequent notifications. Beyond regulation, enterprise shippers — multinational FMCG companies, automotive OEMs, and e-commerce platforms — are including video telematics requirements in logistics vendor agreements, making adoption commercially necessary even ahead of formal regulation.