Drowsy Driver Detection Using Image Processing
Dr.A.Bamini
, B.Sivakalai
Localcamera,Webcam,Videodata,Imageprocessing,Fatiguedetection.
The paper entitled “Drowsy Driver Detection Using Image Processing" is developed using Android Studio & Python as front end and PHP & MySQL as back end. The main aim of the paper is to make human driving safer and to overcome accidents. Around 60% of these accidents are caused due to driver fatigue. Through this paper a real time monitoring system using image processing, face/eye detection techniques. To ensure real-time computation, Face detection technique is used for drowsy/fatigue detection. The Android API‘s to interact and get the output of local camera. It maybe a webcam or any other attached camera. The API’s are used to get the camera video input for the smart phones to manipulate and recognize faces in real time.
"Drowsy Driver Detection Using Image Processing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 4, page no.668 - 670, April-2021, Available :https://ijsdr.org/papers/IJSDR2104109.pdf
Volume 6
Issue 4,
April-2021
Pages : 668 - 670
Paper Reg. ID: IJSDR_193240
Published Paper Id: IJSDR2104109
Downloads: 000347195
Research Area: Engineering
Country: Virudhunagar, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
