Article

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

Zenodo (CERN European Organization for Nuclear Research)repository2022en

ABI

Abstract

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.

Topics

Elevator Systems and Control

Identifiers

DOI: 10.5281/zenodo.7392791

Citations and references

Cited by 00 references

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