Telematics providers improve AI accuracy to combat risky driving behaviors
Summary
This is likely because drivers who are not engaging in safe driving by putting on their seatbelts are more likely to ignore other safety regulations.” Because of that correlation, Verizon Connect has rolled out some enhancements to its AI dashcam, including new AI tags for speeding and unfastened seat belt detection, to provide additional context in each video so fleet managers can more efficiently analyze, classify and prioritize harsh driving events. With Cloud AI analysis, fleet managers can view each video with severity labeled alongside additional tags including tailgating, rolling stop and phone distraction. By enhancing its Cloud AI to identify and tag speeding and unfastened seat belt events, Verizon Connect enables fleet managers to zero in on the opportunities to coach for better driving behaviors. Gary Johnson, head of safety and compliance strategy at fleet management company Motive, said it is important for telematics providers to consistently update and innovate with their systems to track these events and alert drivers and operators to unsafe commercial driving behaviors (phone calls, texting, rolling stops, not using seat belts, close following) that lead to accidents and fatalities. Filip said telematics providers are working to improve their AI and machine learning to have more impactful interventions when drivers record unsafe behavior, but there are some gaps: one, visibility into data because they lack context from other sources like FMCSA and accident data; and two, a greater focus on training versus coaching and trying to automate that process through things like video to make it a more hands-off approach to alleviate back-office staff.