The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIV-2/W1-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2/W1-2021, 1–5, 2021
https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-1-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2/W1-2021, 1–5, 2021
https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-1-2021

  15 Apr 2021

15 Apr 2021

EYE RECOGNITION SYSTEM TO PREVENT ACCIDENTS ON THE ROAD

N. A. Andriyanov and A. A. Lutfullina N. A. Andriyanov and A. A. Lutfullina
  • Financial University under the Government of the Russian Federation, 125993 Leningradskiy pr-t, h. 49, Moscow, Russia

Keywords: Face Detection, Face Recognition, Eye Detection, Eye Recognition, Convolutional Neural Networks, Haar Detector, Recall, Skip Target

Abstract. Today, possibilities of artificial intelligence allow us to see the emergence of autonomous cars. However, there are still many problems in this area at present. Often, such vehicles are “too slow to think”, are not able to reliably process data from video cameras in the event of reflections, glare, and there are also questions about the safety of such driving in difficult weather conditions or in heavy traffic. At the same time, the human factor plays a major role in accidents of driven vehicles. Many accidents involve driver fatigue, distraction, or even falling asleep. At the same time, it is potentially possible to monitor the state of a person behind the wheel by a video sequence received from a camera installed in the car's interior and registering the driver's face in video sequence. In this paper, the existing databases of images of faces and eyes are considered, and an algorithm is presented that detects the state of closed eyes based on Haar detectors and convolutional neural networks.