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Drowsiness and Distraction Detector CDP-001F for Vehicles

Original price was: 149,00€.Current price is: 79,00€. 65,29 without vat

This advanced fatigue and distraction digital detector can prevent serious driving accidents. This digital analyzer constantly monitors all the facial gestures of the driver. Through a complex facial recognition algorithm, it detects signs of tiredness, drowsiness or distractions, even with the use of sunglasses or at night. The Drowsiness and Distraction Detector CDP-001F for Vehicles is a simple and effective detection device that detects danger immediately. Warnings include powerful sound alerts and LED lights. With this real-time driving monitoring system you can prevent serious traffic accidents. According to a DGT report, distractions behind the wheel cause one in three fatal accidents. (Read this news: “Distractions cause one in three fatal accidents.”) It is especially suitable for all types of drivers, especially people with high risk exposure due to fatigue or distractions while driving.

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Description

Drowsiness and Distraction Detector CDP-001F for Vehicles

General characteristics:

  • Drowsiness monitor.
  • Fatigue warning. Identifies: yawning, lowering your head or closing your eyes at least 80%, etc.
  • Effective recognition even with sunglasses (with a few exceptions, it is suitable for most glasses in the market).
  • DOF effective: 0.2 ~ 1.5 m (best range: 0.5 ~ 0.9m)
  • Adjustable viewing angle: 60°
  • Audio alarm.
  • Built-in IR LED light
  • Car charger: DC12V-DC24V
  • You can turn off/turn on the alarm sound with a hand gesture (Open palm gesture: on / V sign: off)
  • Recognition accuracy exceeds 95%.
  • With an easy-to-install PU non-slip adhesive pad.
  • Real-time facial capture indicator.

Technical Specifications: 

  • Size: 88*88*48mm
  • Weights: 74g (device), 90g (charger), 341g (complete package)

See this news about Distractions cause one in three fatal accidents. (Spanish)

Documents

Distractions cause one in three fatal accidents (spanish)

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