AdaptNXT
AI-Powered Road Safety

Don't let fatigue
take the wheel.

DrowsyGuard watches the driver and the whole cabin through a single camera — live or from a photo / video.

The Silent Threat

Every 25 seconds
someone drifts.

Microsleeps last 1–3 seconds. That's enough to cross an entire lane at highway speed.

The Cost

1 in 5
fatal crashes.

Drowsy driving is responsible for 20% of all fatal road accidents. Most go unreported.

The Solution

One camera.
The whole cabin.

Eye closure, yawning and head pose · driver position & posture · phone use · passengers, seatbelts & age — all in real time.

DrowsinessYawningHead posePhone use SeatbeltsPassengersAgePosture
1 / 4
The numbers
The Numbers Are Alarming

Drowsy driving kills more
than you think

Global road safety data paints a stark picture of preventable tragedy.

1.35M
Annual Road Deaths
Road accidents claim 1.35 million lives every year worldwide — WHO 2023.
20%
Fatal Crashes
1 in 5 fatal road crashes directly involves a drowsy or fatigued driver.
$109B
Annual Economic Damage
NHTSA estimates $109 billion in annual costs from drowsy driving crashes in the US alone.
0.10%
Equivalent BAC
Driving after 24 hrs without sleep equals a blood alcohol level of 0.10% — legally drunk.
Beyond drowsiness

Fatigue is only one of the risks

A drowsy driver is rarely the only problem in the cabin. DrowsyGuard checks everything a single camera can see.

Drowsiness & yawning

Eye closure is measured against your own open-eye baseline. Microsleeps, PERCLOS over a minute, head nodding and frequent yawns all raise the fatigue score.

Distraction & phone use

Head pose and gaze away from the road, or looking down, flag distraction. Calling and texting are detected as their own states. Eyes off the road for 2 s at 90 km/h is about 50 m driven blind.

Seatbelts ignored

Each occupant is matched against the belt strap across their chest and flagged when unbuckled. Seatbelts cut fatal injury risk by roughly 45–50% for front-seat occupants, yet many people skip them on short trips or in the back seat.

Posture matters

Slouching, slumping, leaning or turning away is compared with each person's own upright baseline. A slumped body is an early sign of fatigue, and an out-of-position occupant is far more exposed in a crash and to airbag injury.

Passengers & age

Everyone in the cabin is detected and tracked, and children are told apart from adults. Unbelted children and extra passengers who distract the driver are easy to miss without a second pair of eyes.

Speed & risk, simulated

A simulated vehicle speed reacts to what the camera sees: it is limited or dropped as drowsiness, distraction or phone use builds up, so you can see the consequence of each risky behaviour.

Works live from your webcam, or upload a photo or video of a cabin and get a full report.

DrowsyGuard

⚠️ Camera access denied or unavailable. Please allow camera permissions and reload.
Uploaded photo
Waiting for camera…
Drop a photo or video here or click to choose — JPG, PNG, MP4, MOV, WEBM
0 occupants Calibrating…
— fps

Analyze a Photo or Video

Choose a photo or video of the driver / cabin. Videos: the first 3 minutes are analysed.

Live Insights

✓
Waiting for data…

    Session Summary 0:00

    —
    Safety score
    —
    Driver attentive
    —
    Belt compliance
    —
    Upright posture
    0
    Drowsy episodes
    0
    Distractions
    0
    Yawns
    0
    Max occupants

    How It Works

    DrowsinessEye openness is compared with your own learned open-eye level. Eyes closed ≥ 1.2 s (microsleep), PERCLOS ≥ 18% over a minute, or head nodding → DROWSY.
    YawningMouth wide open for ≥ 1 s. Short openings from talking are ignored. Yawn frequency feeds the fatigue score.
    DistractionHead pose + iris gaze off your normal direction for ≥ 2 s or looking down. Phone use is its own state: calling (phone or hand at the ear) or texting (phone in hand).
    SeatbeltsAn in-cabin seatbelt detector finds the belt strap and matches it to each occupant's chest, averaged over several seconds.
    Occupants & ageEvery person is detected and tracked. Two face-age models are combined to tell children (< 13) from adults.
    PostureBody keypoints are compared with each occupant's own upright baseline to spot slouching, leaning, slumping or turning away.