VisionTrack has launched its new AI video telematics innovation at the Commercial Vehicle Show.
The VT650-AI is designed to eliminate blind spots around vehicles and enable complete 360-degree visibility to better protect vulnerable road users (VRUs).
The AI VRU detection camera can be used on a vehicle’s front, side or rear and features deep learning technology to detect pedestrians, cyclists, motorcyclists and people on scooters, while disregarding street furniture. Safety zones can be configured to ensure all angles are covered, providing the precise location of nearby VRUs in relation to the vehicle. Footage is automatically displayed on an in-cab monitor, and supplemented with an audible, spoken warning.
“Traditional proximity sensors warn of a nearby road user, but typically alerts can be triggered by street furniture such as lamp posts, bollards, road signs and bins, which risks the driver becoming complacent and taking less notice of alarms,” explained Richard Kent, president of global sales. “The best way to avoid this alert fatigue is to take advantage of intelligent and high-precision AI cameras that keep the driver engaged with accurate and useful information.”
It’s part of the company’s growing range of AI-powered video telematics solutions, said to provide the most comprehensive risk detection and intervention (RDI) currently available.
“We are creating a unique AI-powered video telematics ecosystem – using the latest edge-and cloud-based innovations – to provide unrivalled, real-time driver engagement, alongside the most accurate, timely and insightful risk monitoring and analysis. This integrated technology offering is designed to mitigate the impact of road, driver and fleet risk,” added Kent.
Earlier this year, VisionTrack launched its NARA (Notification, Analysis and Risk Assessment) AI-powered post-analysis solution, which transforms how collisions, near misses and driving events are analysed, monitored and reviewed by automatically analysing footage without the need for human involvement.
The device-agnostic, cloud-based software changes how vehicle camera footage is assessed, helping road transport operators to save time, costs and most importantly lives.
