TennaCAM 2.0 Fleet Driver-Facing AI (DMS) Overview and FAQ

Overview of TennaCAM 2.0 Fleet driver-facing safety events (drowsiness, distractions, head down, phone use, seatbelt, smoking, yawning), specifications for those events, and FAQ.

TennaCAM 2.0 Fleet uses an Artificial Intelligence (AI) based Driver Monitoring System (DMS) to detect specific driver actions and to generate events and in-cabin voice alerts. Voice alerts notify the driver of the detected condition. A video clip may be automatically captured by the camera for each of these events.

In this article:

Benefits

Driver Event Specs

FAQ

Benefits of AI-powered Safety Cameras

Increased Safety

  • Videos and alerts allow fleet managers to coach drivers, mitigate risky habits, and constructively teach better driving skills.
  • Videos provide context for telematics-based driver scorecards. For example, a point deduction for harsh braking could be a driver avoiding an obstacle or other danger.
  • Videos help identify, retain, and reward excellent drivers.

Accident and Liability Mitigation

  • Instantly provide video evidence of accidents to law enforcement and insurance.
  • Exonerate drivers who are not at fault for accidents or complaints from other drivers.
  • Speed up resolution of insurance claims.
  • Settle or avoid expensive lawsuits.
  • Deter theft/vandalism with parking mode

Driver Event Specs

Event Type

Required Vehicle Speed

Required Trigger Condition

AI Behavior #1

(records an event)

AI Behavior #2

(records a second event)

Drowsiness >5 mph Driver’s eyes are closed/drooping for at least 1.15 sec during 5-sec window Triggers 2+ times in 1 minute Triggers 6+ times in 30 minutes
Distraction >20 mph Driver is distracted for at least 2 sec during 4-sec window Triggers if the driver faces left or right Triggers 7+ times in 30 minutes
Head Down >5 mph Driver’s head is down for at least 1.25 sec in a 5-sec window Triggers 2+ times in 1 minute Triggers 8+ times in 30 minutes
Phone Use >5 mph Driver holds phone to the side of their face for at least 1 sec in a 5-sec window Triggers an event 1-2 times in 30 minutes; Will not trigger again until 30 minutes from second event.

Seatbelt*


>5 mph Driver is not wearing a seatbelt for longer than 4.5 sec in 9-sec window Triggers if the driver removes seatbelt when going over 5 mph Triggers 9+ times in 30 minutes
Smoking* None Driver has an object in their mouth for at least 0.25 sec in a 5-sec window Triggers 2+ times in 5 minutes Triggers 9+ times in 30 minutes
Yawning >5 mph Driver yawns for at least 1.6 secs in a 4-sec window Triggers 3+ times in 90 seconds Triggers 20+ times in 30 minutes

*Note: Seatbelt and Smoking detection require the Custom Settings profile. Please contact your Account Manager for more information or reach out to Customer Support at [email protected] or call 888.836.6269.

FAQ

Can I customize the settings for each event?

Settings for each event type include turning on/off video or snapshot, enabling/disabling in-cabin alerts, sensitivity levels. These settings are pre-configured based on your current camera settings profile. Tenna also offers a Custom Settings profile for those that would like more control.

How does the camera detect if the driver is wearing their seatbelt or not?

To get the best performance from the camera for seatbelt detection, the camera must have an optimal view of both the driver's face and shoulders area. If the camera is positioned poorly, it may cause the camera to miss the seatbelt being worn and generate false positives or to not generate any events when these may be expected.

How do I prevent false positives for seatbelt detection?

The best way to prevent false positives is to calibrate your camera’s angle to match these instructions. The following are other things that can contribute to false positives:

  • Poor driver posture
    • If the driver positioned in a way that covers the seatbelt (for example, hunched over or driving one handed with their right arm covering their left shoulder).
    • Recommendation: Encourage your drivers to always drive safely with both hands on the wheel. Ensure that the driver is not mistakenly blocking the camera's view of the seatbelt.
Example of driver's posture blocking view of seatbelt
  • Glare or poor lighting in the cab
    • Glares from sunlight or roadway lights can reflect onto the driver, making it hard for the camera to detect a seatbelt.
Example of glare from safety vests and poor lighting in the cab
  • Poor contrast between the seatbelt and driver’s clothing
    • If the driver is wearing a shirt that blends with the color of the seatbelt, false positives may present.

Tenna is committed to continuing to improve camera ai capabilities, as safety is our top priority for you and your team members. In the event of constant false positives, please forward to your Tenna Rep for review.

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