VisionTrack unveils AI blind spot detection
VisionTrack has launched an AI-powered blind spot detection (BSD) camera that specifically identifies vulnerable roads users such as cyclists, motorcyclists and pedestrians.
Using Advanced Driver Assistance Systems (ADAS) technology and a built-in machine vision algorithm, the device can intelligently detect moving objects adjacent to the vehicle and alert the driver.
“Our AI BSD camera overcomes an issue with traditional proximity sensors, where alerts can be triggered by street furniture – lampposts, bollards, road signs and bins – risking drivers becoming complacent and taking less notice of alarms due to regular false positives,” said Richard Lane, commercial director of VisionTrack.
“Our new camera can distinguish moving objects from false positives, pinpointing exactly where they are in relation to the vehicle, making it possible to better protect vulnerable road users.”
The AI BSD camera can be installed on either the left or right side of the vehicle to monitor blind spots in real-time. The device is trained, using specially-developed algorithms and data sets, to identify moving objects within a defined detection range based on volume and speed.
By linking the alert to a video telematics system, the driver can receive live footage via an in-cab monitor, so they can quickly take preventative measures.
“There is rapid development in terms of camera and safety hardware, making it possible to use AI to optimise the safety of drivers and other road users,” Lane added.
“We are embracing these latest innovations in combination with our award-winning IoT platform, so we can deliver increasingly insightful reporting and alerting that improves safety and reduces incidents. In fact, we strive to continually improve the performance, reliability and detection abilities of our video telematics by leveraging extensive real-world video information.”
