Prevent fatigue-related accidents and distracted driving in real-time. Binimise DMS leverages cutting-edge cabin edge-AI to track eye closure, yawning rate, visual attention, and phone handling—providing instantaneous warnings in the cabin.
Advanced algorithms monitoring four critical driver metrics locally inside the vehicle.
Our model measures eyelid closure speed, blink rate, and duration (PERCLOS). When eye closure thresholds are breached beyond fatigue limit values, real-time cabin alerts are broadcast instantly to wake the driver.
Tracks physical dimensions of mouth coordinates and yawning rates. Flags consecutive micro-yawns to forecast driving fatigue stages early, recommending driver rest intervals before dangerous highway microsleeps occur.
Calculates 3D head rotation vectors (yaw, pitch, roll) to monitor visual focus alignment. Warns if the driver turns away from the road (such as checking mirrors, dropping eyes to dashboard) for more than 1.5 seconds.
Edge-optimized object-classification models look for phone hardware coordinates held in proximity to ears or hand positions raised to the face. Immediately records compliance warnings with timestamp logs for logistics dispatch managers.
Deploying AI cabin safety yields measurable improvements across driver security and operational compliance.
Significant decrease in crash risks and collisions triggered by driver fatigue or lane distraction on motorways.
Zero-latency local edge inference guarantees audio prompts fire the instant eyes drift from safe driving posture.
AI models execute 100% locally on vehicle hardware, alerting drivers in remote valleys without cellular network connectivity.
Lower corporate logistics liability premiums by demonstrating active hardware safety compliance records to insurers.
Flexible Cabin AI deployment configurations tailored across multiple enterprise sectors.
Heavy cargo trucks operating long night journeys face high drowsiness risks. Our near-infrared (NIR) tracking ensures stable face mesh telemetry in pitch-black cabins and under sunglasses, triggering buzzers locally to save lives.
Sanitation trucks operate early morning shifts in dense residential spaces with high pedestrian risks. The DMS checks visual attention alignment, alerting the driver when looking away, while buffering performance telemetry logs to city dispatch systems.
Ensuring passenger safety is paramount. The DMS performs un-bypassable facial liveness checks at startup to verify authorized driver credentials, blocking identity spoofing from prints or iPhone Live Photos, and audits attention metrics in real-time to prevent mobile device usage during transit.
Transporting fuel or chemicals leaves zero margin for error. Visual distraction for even 1.5 seconds triggers alarms immediately. Telemetry records sync automatically with corporate logistics consoles to maintain strict safety audits.
HOW IT WORKS
Real-time attention audits executed on the edge.
Integrates with dashcams or IR cameras to ensure reliable face tracking during nighttime driving and under sunglasses.
Plots vector landmarks around the eyes, mouth, and head axis. Measures face posture and blinking speed on-device.
If drowsiness or phone usage exceeds thresholds, visual notifications and speech alarms trigger locally instantly.
Critical warnings and safety indexes sync to the AURA Central Console to give fleet managers audit reports.