OEM SDK
Embedded AI * ADAS & DMS
Edge AI for ADAS & Driver Monitoring
A production-grade AI model library and SDK that runs entirely on the device. Purpose-built for OEMs integrating road-facing ADAS and in-cab driver monitoring into dashcam and telematics hardware — no cloud required.
* On-device Inference * Portable API layer
WHY EDGE
Built for the device, not the cloud
Every model runs locally on the dashcam. Alerts fire in real time with no round-trip latency, footage stays private on the device, and the system keeps working with intermittent or no connectivity — with a proven API portability layer for future-proof integration.
Real-time, on-device
Low-latency inference at the edge — instant driver and road alerts without a network hop.
Private by design
Video is analyzed locally; no dependency on cloud processing for ADAS or DMS.
Portable SDK
One API portability layer across a wide range of SoCs and operating systems.
ADAS TECHNOLOGY
ADAS Driver Assistance
Road-facing AI models detect hazards ahead and coach safer driving in real time — collision, lane, sign, and pedestrian awareness, all optimized for embedded devices.
Lane Change / Departure
Alerts when the vehicle changes lanes without signaling.
Lane Deviation
Detects unintentional drift as wheels meander over lane markers.
Front Collision Warning
Warns of forward collision using headway distance and Time-to-Collision.
Tailgating
Monitors distance to the vehicle ahead and alerts when following too closely.
Stop Sign Detection
Detects stop signs and flags rolling or incomplete stops.
Pedestrian Collision Warning
Identifies pedestrians in the driving path to reduce collision risk.
Speed Sign Recognition
Reads posted speed limits and flags minor or major speeding violations.
Traffic Light Recognition
Detects traffic lights ahead and triggers red-light violation events.
Stop & Go
Detects when the lead vehicle departs but the driver fails to proceed in time.
Auto Calibration
Estimates hood line, horizon, pan, and wheel offsets automatically.
DMS TECHNOLOGY
Driver Monitoring
In-cab AI watches for distraction, drowsiness, and risky behavior — head pose, eye state, and gesture recognition that flags unsafe driving as it happens.
Distracted Driving
Monitors head pose to detect when the driver is not facing forward.
Eyes Closed / Sleepy
Detects prolonged eye closure signaling driver drowsiness.
Seatbelt Detection
Detects whether the driver is wearing a seat belt and alerts if unbuckled.
Yawning / Fatigue
Recognizes frequent or extended yawning as an indicator of fatigue.
Cellphone Talking
Detects when the driver is talking on a cellphone while driving.
Smoking Detection
Recognizes hand-to-mouth gestures and cigarette presence.
Eating & Drinking
Detects eating or drinking while driving, indicating distraction.
Cellphone Texting
Detects when the driver is actively texting or interacting with a phone.
Camera Tamper
Detects whether the camera lens is blocked, covered, or obscured.
Auto Calibration
Estimates neutral head position for pitch & yaw based distraction events.
INTEGRATION
Designed to drop into your telematics
program
Broad hardware support
Runs across a wide range of embedded SoCs
Linux, Android & RTOS environments
Optimized for constrained edge compute
Portable API layer
Consistent SDK interface across platforms
Future-proof integration as hardware evolves
Event metadata & configurable alert thresholds
Built for OEMs
Purpose-built for dashcam & telematics devices
Robust roadmap of upcoming features
Long-term partner engineering support
Integrate ADAS & DMS into your dashcam
Get in touch with IntelliVision to explore our SDK, discover our supported platforms, and discuss custom OEM integration. We succeed only when you do.
sales@intelli-vision.com