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Eye-Tracking Car Headlights

The Vauxhall/Opel Smart Headlights Aim At Where The Driver is Looking

— March 25, 2015 — Autos
Vauxhall/Opel is devleoping smart headlights that aim themselves in a particular direction based on driver eye-tracking. Already in development for a couple of years now, this high-tech system doesn't merely alter the direction of the headlight beams but also manipulates beam intensity.

The system uses a camera that monitors important points on a driver's face such as the nose and eyes in order to detect their line of sight. Peripheral infrared sensors and photo-diodes are used to scan the driver's eyes more than 50 times a second.

These smart headlights can work with any driver behind the wheel without having to be individually calibrated for each driver. It's a system that is marvelous both in its technological grounding and in the impact it could have in terms of improving safety on the roads.
Trend Themes
1. Eye-tracking Technology in Automotive - Disruptive innovation opportunity: Develop eye-tracking technology for various automotive applications, such as driver assistance systems or personalized vehicle settings.
2. Smart Headlights - Disruptive innovation opportunity: Create smart headlights that can adjust beam direction and intensity based on driver eye-tracking, improving visibility and safety on the roads.
3. Facial Recognition for Driver Monitoring - Disruptive innovation opportunity: Utilize facial recognition technology to monitor driver behavior, detect drowsiness, and improve overall driver safety.
Industry Implications
1. Automotive - Disruptive innovation opportunity: Incorporate eye-tracking technology and smart headlights into new vehicle models to enhance driver experience and safety.
2. Driver Assistance Systems - Disruptive innovation opportunity: Implement eye-tracking technology and facial recognition for driver monitoring in driver assistance systems, enabling proactive safety measures.
3. Road Safety - Disruptive innovation opportunity: Develop technologies, such as eye-tracking and facial recognition, to improve road safety by preventing accidents caused by driver distraction or fatigue.
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