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ADAS refers to external vehicle monitoring systems that help prevent collisions and enhance driver awareness by analyzing the road, other vehicles, pedestrians, and traffic signals. Dash cams with ADAS use forward-facing cameras combined with AI to detect potentially hazardous situations.

Key Features of ADAS:

• Forward Collision Warning (FCW): Alerts if the vehicle is closing in too fast on the vehicle ahead.
• Lane Departure Warning (LDW): Triggers an alert when the vehicle drifts out of its lane without signaling.
• Pedestrian Detection: Identifies pedestrians in the vehicle's path to prevent accidents.
• Stop Sign / Traffic Light Recognition: Detects traffic signals and signs and warns if the driver doesn't respond appropriately.
• Tailgating Warning: Notifies if the following distance is unsafe.

ADAS systems help prevent accidents before they happen by giving real-time audio/visual alerts to the driver and recording events for later review.

DMS focuses on internal cabin monitoring—specifically the driver's behavior. These systems use in-cabin cameras and AI to detect risky or distracted driving.

Key Features of DMS:

• Drowsiness Detection: Recognizes signs like eye closure, yawning, or head nodding.
• Distraction Detection: Detects when the driver is looking away from the road (e.g., phone use).
• Seatbelt Use Detection: Checks whether the driver is wearing their seatbelt.
• Smoking or Phone Use Detection: AI identifies prohibited activities while driving.
• Driver Identity Recognition: Verifies who is driving the vehicle, often via facial recognition.

DMS aims to enhance driver accountability and training, and many insurance companies value this data for risk assessment.