Абстрактный

DEVELOPMENT OF A DROWSINESS WARNING SYSTEM USING NEURAL NETWORK

Itenderpal singh, Prof. V.K.Banga

In this paper, a vehicle driver drowsiness warning system using image processing technique with neural network is proposed. The proposed system is based on facial images analysis for warning the driver of drowsiness or inattention to prevent traffic accidents. The facial images of driver are taken by a video camera which is installed on the dashboard in front of the driver. A Neural network based algorithm is proposed to determine the level of fatigue by measuring the eye opening and closing, and warns the driver accordingly. The results indicated that the proposed expert system is effective for increasing safety in driving.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

Индексировано в

Академические ключи
ResearchBible
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
научный руководитель
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

Посмотреть больше