Recently, we discussed the National Transport Insurance’s NTARC major crash investigation report and how driver inattention and distraction are the major causes of road incidents. We also talked about how our smart AI dash cam assists in reducing the number of incidents related to this cause – how it can detect phone use, seatbelt use, smoking, signs of fatigue and other distractions with its driver-facing camera.
Forward Facing ADAS Camera
The forward-facing camera of the dash cam tackles the next three major road incident causes: inappropriate speed (12.5%), inappropriate vehicle positioning (10.5%) and inadequate following distance (8.6%).
Speed Sign Recognition
Whilst driving, the dash cam is constantly identifying speed signs and detecting if the driver is speeding or not. In the case that they are speeding, it will give the driver instant audio feedback on what speed they are doing over the limit.
Lane Departure
The forward-facing camera also assists with inappropriate lane positioning – so driving over the edge of the lane, driving over two lanes or departing the lane without indicating will also be automatically detected.
Tailgating
The last cause that the dash cam seeks to reduce is inappropriate following distance. The dash cam has a feature called Headway Monitoring that detects when the driver is following another vehicle too closely.
Collision Warnings
As an added feature the dash cam can also detect an imminent collision with a vehicle or pedestrian, alerting both the driver and their supervisors.
All these events that occur send alerts to the cloud for review as well as in the form of immediate driver feedback in the cab. We’ve found that the in-cab notifications instantly change driver behaviour and majorly improve the levels of driver compliance and safety across fleets.
Find out more about our smart AI dash cam solution.
Read the full National Transport Insurance report.
