-
Mstack launches Chemstack AI – a revolutionary AI-led R&D platform; achieves 10x revenue growth as chemical industry faces supply chain crisis - September 25, 2025
-
PROLOG FULFILMENT APPOINTS NEW SENIOR GENERAL MANAGER TO DRIVE OPERATIONAL EXCELLENCE - September 24, 2025
-
SURECAM TEAMS UP WITH ENTERPRISE MOBILITY TO SHOWCASE VIDEO TELEMATICS INNOVATION - September 24, 2025
-
HAULIERS URGED TO STAY FOCUSED ON ICS2 CUSTOMS CHANGES DESPITE DELAYS - September 23, 2025
-
GOPLASTICPALLETS.COM LAUNCHES NEW FREEZER SPACERS TO HELP FOOD MANUFACTURERS BOOST COLD CHAIN EFFICIENCY - September 23, 2025
-
Westexe Takes Centre Stage to Scoop Prestigious Archies Award - September 22, 2025
-
Jungheinrich scores A* in supporting educational resources supplier’s zero-carbon journey - September 22, 2025
-
RITE-HITE EXPANDS VEHICLE RESTRAINT PORTFOLIO WITH NEW USER-FRIENDLY MANUAL ERGONOMIC WHEEL-LOK - September 17, 2025
-
Simmi London steps up delivery experience with Scurri Connect - September 17, 2025
-
Rebecca Smith to bring fresh perspective to UKMHA Board After Exciting Appointment - September 17, 2025
Ctrack by Inseego has launched an AI dashcam that is designed to prevent incidents by tackling fleet risk as it happens. The Ctrack AI Camera combines forward-and driver-facing camera technology, using machine vision and artificial intelligence (MV and AI) to detect and help drivers self-correct dangerous or distracted behaviour. Fleets can now use the AI dashcam to improve road safety, better protect drivers and reduce associated insurance costs.
“We are using the latest advances in AI and machine vision to create intelligent vehicle cameras that have a positive impact on road safety,” explains Steve Thomas, Managing Director of Ctrack by Inseego. “Over 90% of crashes are a result of human error, so any technology that enables drivers to take corrective action and lessen fleet risk will deliver meaningful results. Our AI dashcams can help prevent collisions before they occur, so offer a clear advantage over traditional video telematics that simply record collisions.”
The forward-facing camera captures high quality footage of the road ahead, while the driver-facing lens provides a greater understanding of risky behaviour and distraction within the vehicle such as using a mobile device, eating and drinking, and eyes off the road. The MV-and AI-capabilities work together to identify and assess risk in and out of the vehicle, so the driver can be notified of any issues and footage uploaded to the cloud for review by the fleet manager, if required.
“What we have seen during our initial vehicle trials of the AI dashcam is a positive response from not only the fleet manager, who is gaining a more complete picture of risk, but also the driver. When asked for feedback, the overwhelming response from drivers is that any initial reluctance has been replaced by an understanding that the cameras are having a positive effect on risky driving habits and improving their safety,” concludes Thomas.