-
Cascade raises $3.5M to help construction firms predict the future and win more projects - 7 hours ago
-
Raben Group digitalises European co-packing operations with Nulogy - 14 hours ago
-
Bridgestone puts total cost of ownership in focus at Road Transport Expo - July 20, 2026
-
WHEN THE FEAR OF CHANGE OUTWEIGHS THE COST OF STAYING - July 20, 2026
-
Netchex Launches Mesh: AI HR Teammates for the Deskless Workforce - July 20, 2026
-
Combilift: Behind every great machine is an even greater team. - July 20, 2026
-
Shrink Sleeves the Solution to Can Supply Crisis, says Prism - July 14, 2026
-
Rushlift GSE brings expanding service to GSE Expo Europe 2026 - July 10, 2026
-
Payfuture Launches Local Payments Integration for Merchants on Shopify in India - July 7, 2026
-
The LEEA logo – looking after the badge of excellence - July 3, 2026
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.












