Most dash cams can detect phone use. Few can reliably detect eating behind the wheel, and even fewer do it accurately enough for you to trust the alerts.

Motive’s new AI-powered Eating Detection helps you reduce one of the most common forms of distracted driving. Eating behind the wheel can nearly double the driver’s risk of a collision, yet more than half of drivers admit to eating while driving.

With accurate eating detection built into Motive’s Dual-Facing AI Dashcam and AI Dashcam Plus, you can finally detect and manage this everyday risk without the noise of false positives.

Eating is “normal” — and that makes it dangerous

For your drivers and operators, eating on the move feels routine. Long shifts and tight schedules leave little time for proper breaks. But routine does not mean safe.

When drivers eat behind the wheel, they:

  • Take their hands off the wheel and eyes off the road
  • Divide attention during critical moments
  • Often do it at speed, in traffic, or near pedestrians

Unlike phone use, eating is harder for you to spot and rarely shows up in incident reports. But it can still contribute to rear-end collisions, lane departures, near-misses, and serious collisions.

Inaccurate AI makes the eating problem worse

If your dash cam solution can’t detect eating accurately, it creates more noise than value. Inaccurate detection leads to:

  • Review fatigue: You spend hours daily dismissing false positives
  • Eroding trust: Drivers feel unfairly flagged for normal behavior
  • Missed risk: Real issues get ignored when alerts are unreliable

Without accuracy, you can’t rely on alerts to coach drivers or prevent incidents.

How Motive detects eating accurately — and filters out the noise

You need detection that captures real risk and filters out everything else.

Instead of flagging every instance involving food, Motive detects eating only when all of the following are true:

  • A visible food item is present.
  • The vehicle is traveling above 25 mph.
  • The behavior lasts 5 seconds or more.
  • The behavior is not drinking.

Because AI detection runs on-device, your drivers can receive real-time in-cab alerts, helping them correct behavior in the moment before it leads to an incident. In-cab alerts are available on the AI Dashcam and coming soon to AI Dashcam Plus.

Detected eating events are then validated to remove false positives before they reach you in the Motive Dashboard, so your drivers are never punished for mistakes they didn’t make. 

When you see an eating event, you can trust that it is real and coachable. 

You can:

  • Identify drivers with recurring events
  • Prioritize targeted coaching
  • Automatically deliver AI-generated coaching videos through the Motive Driver App.

This helps you reduce risk without adding hours of manual work.

Later in Q2, you will also be able to set custom thresholds for event detection capture and in-cab alerts.

What you should look for when evaluating AI dash cams

Motive now detects 20+ safety events with up to 99% accuracy. However, AI detection shouldn’t just be a checkbox. It should be something you can rely on across every behavior that puts your drivers at risk.

Eating is just one example. Ask potential providers:

  • How are risky behaviors detected and validated?
  • How are false positives minimized?
  • Can drivers be alerted in real time?

With Motive, you can detect high-risk behaviors accurately, coach drivers consistently, and build a safety culture your team trusts — all within a unified platform that connects safety, operations, and finance.

Ready to see it in action? Take a tour of Motive AI Dashcam Plus and Driver Safety today.