Driver monitoring system
Drowsiness and distraction build up quietly.
Your product has to notice them early, without bothering an attentive driver. We do it with head-pose and eye-state estimation plus object detection, and help you build it in.
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How it works
From the cab camera to an early warning
One blink or glance is normal. The warning signs show as they add up, so it scores drowsiness and distraction over time and warns before they get serious.
Your system: Driver
The person at the wheel.
Your system: Cab camera
A camera on the dashboard, facing the driver.
Our solution: Attention
Estimates head pose and eye state, and spots a phone or cigarette.
Our solution: Scoring
Scores drowsiness and distraction over time, so one glance doesn't count.
Your system: Driver alert
Warns the driver with a chime or on a display.
What it handles
Spots tiredness, not blinks
We tune it to your vehicles, then check every warning against what the driver was doing at the time.
What it catches
- Eyes closing
- Eyes that stay closed longer and more often.
- Yawning
- Repeated yawns over a short time.
- Looking away
- Eyes and head off the road for too long.
- Phone use
- A phone held up while driving.
- Smoking
- A cigarette in hand while driving.
What it ignores
- Blinking
- Ordinary blinks at any rate.
- Mirror checks
- Quick glances at mirrors and dials.
- Talking
- Speaking with passengers.
- Light changes
- Tunnels, sunlight and oncoming headlights.
- Sunglasses
- Dark lenses, and glare on clear ones.
Applications
Where it's built in
Your product gets drowsiness and distraction scores, and flags for phone use or smoking.
Trucks and buses
Fleet vehicles on long routes and night shifts.
Passenger cars
Driver attention warnings in everyday cars.
Fleet systems
Driver alerts alongside your other vehicle data.
Evaluation
Interested in this solution?
Get in touch with our engineering team to evaluate it for your system.
Qualification note placeholder: the legal qualification for this solution, kept word for word on each of its pages.
Other use cases
More on computer vision
Five more ways we put computer vision to work.
Object tracking
Detects the objects you choose, tracks each one and counts those in a zone or crossing a line.
Crowd counting
Estimates crowd density to count heads, and alerts you when the crowd reaches your limit.
Intrusion detection
Person detection raises an alert when someone enters the area, and records a clip of each event.
Tennis pose estimation
Estimates the player's pose and reads each movement over time to count forehands and backhands.
Emotion tracking
Classifies expressions as happy, sad, angry or surprised, so your product can respond.
