🛡️ Driver Fatigue & Distraction Detection System Advanced Eye-Tracking | Real-Time Alerts | Universal Vehicle Compatibility 👁️ AI-Based Recognition Technology Equipped with advanced pupil recognition algorithms, this system continuously monitors eye movements and facial features to detect fatigue or inattentiveness in real time. Any signs of drowsiness or distraction trigger immediate alerts to keep the driver focused and safe. 🌌 Infrared Image Sensor + DSP Processing A high-performance infrared image sensor captures detailed facial imagery—even in low-light conditions. The data is instantly analyzed by a high-speed digital signal processor (DSP) for fast, accurate detection of facial cues such as blinking patterns and eye closure. 🔔 Real-Time Safety Alerts Detects abnormal blinking rates, eye closure, and yawning Issues voice alerts and warning tones when drowsiness or distraction is detected Promotes safe driving behavior through intelligent, non-intrusive monitoring 🎯 Highly Accurate Detection Utilizing precision eye-tracking and motion analysis, the system ensures real-time fatigue alerts. Its rapid response helps prevent accidents by keeping the driver attentive during long trips or monotonous routes. 🚗 Wide Compatibility & Easy Installation Comes with a rotatable suction-cup mounting bracket Can be mounted on any flat surface inside the vehicle Suitable for all vehicle types: Commercial trucks Taxis & rideshare vehicles Private cars Senior or long-distance drivers 📦 Key Features at a Glance Feature Description Detection Method AI facial & pupil recognition Sensor Type Infrared image sensor with DSP analysis Alert Type Voice alerts + audible alarms Mounting Rotating suction-cup mount Application Universal (cars, trucks, buses, etc.) Lighting Conditions Operates in both daylight and low-light ✅ Ideal For: Fleet operators monitoring driver alertness Commercial and long-haul drivers on extended routes Senior drivers and those with medical conditions Safety-conscious individuals who drive at night or long distances