As a safety manager, you’ve probably seen it yourself. A driver drifts in and out of their lane before nearly sideswiping a passing vehicle. After the incident, you review the dash cam footage, realizing that the swerving has been happening since long before the near miss. Maybe the driver was distracted, or reaching for something in the vehicle. Or maybe the driver was tired after a long day on the job. And tired drivers put themselves and others at risk, with lane swerving a factor in 79% of fatigue-related collisions. 

That’s why we’re launching AI-powered Lane Swerving Detection, the first and only solution that detects repeated lane swerving over time — one of the clearest signs of fatigue or distraction — so you can intervene before it turns into a serious collision.

Get real-time alerts when swerving becomes a pattern

A single lane departure might not seem alarming. But when a driver keeps drifting in and out of their lane, that’s where the real danger lies.

Motive’s AI-powered Lane Swerving Detection uses computer vision to analyze lateral vehicle movement, triggering a safety event to the Motive Dashboard for manager review. Events are triggered when:

  • The driver swerves from side to side three or more times within five minutes and
  • The vehicle is traveling 50 mph or above.

You’ll get a real-time alert with video available in the Motive Dashboard. Instead of isolated events, you see all occurrences of lane swerving in a single timeline, making it fast and easy to understand the full picture. 

We’re also planning in-cab alerts that will prompt drivers to correct swerving immediately. In development are customization settings that let you define how many swerves, and within what period of time, will trigger a safety event and alert. That way, you can align detection with your fleet’s safety policies.

Support privacy-conscious fatigue detection

For fleets that don’t use dual-facing dash cams, detecting fatigue or distraction can feel out of reach. AI-powered Lane Swerving Detection closes that gap. It uses telematics and computer vision to monitor lateral vehicle movement, with no driver-facing video required.

This gives you a privacy-conscious way to detect fatigue and distraction, ideal for fleets with union requirements or sensitive cargo.

How to take action on Lane Swerving events

Detecting lane swerving is only part of the solution. Acting quickly is what keeps drivers safe. Many customers who have been testing our lane swerving technology are already putting clear internal processes in place to maximize the impact of these alerts, such as:

  • Assigning after-hours or overnight reviewers to check each event for signs of fatigue
  • Recalling additional footage if more context is needed
  • Contacting the driver if behavior seems unsafe, whether due to drowsiness or distraction
  • Providing clear protocols for rest breaks or shutdowns when fatigue is suspected

Build a stronger safety program

Lane swerving collisions often lead to severe injuries and fatalities. The good news is they’re preventable, with lane departure warning systems reducing injury collisions by 21%. 

This launch builds on Motive’s recent AI innovations like AI-powered Smoking Detection and Unsafe Parking Detection, giving you another way to stay ahead of risk and protect your drivers.

Take a tour of the Motive AI Dashcam and Driver Safety platform to see how you can prevent accidents and build a stronger safety culture today.