DRIVER SLEEPINESS DETECTION USING CONVOLUTION NEURAL NETWORK
Khamzaev Jamshid Fayzidin o'g'liTUIT named after Muhammad al-KhwarizmiYakhshiboev Rustam Erkinboy o'g'lTUIT named after Muhammad al-KhwarizmiOchilov Temur DilshodovichTUIT named after Muhammad al-KhwarizmiSiddiqov Boburbek Norpo'lat o'g'liTUIT named after Muhammad al-Khwarizmi
ABI
Аннотация
This article discusses the CNN model based on artificial intelligence. With this model, it is possible to define and develop a driver drowsiness detection system. The system will greatly help truckers, because dividing the driving of transport will lead to eye fatigue and the driver himself.
Ҳали таржима қилинмаган
Мавзулар
Идентификаторлар
Иқтибослар ва манбалар
0 та иқтибос0 та фойдаланилган манба
Кўрсаткичлар — AkademScholar · Тез орада