Driver Driver Drowsiness Detection System
Aniket Gupta
, Shreya Ingale , Saloni Goyal , Afsha Shaikh , Suchitra Deokate
Drowsiness, Fatigue, unassisted, simulating.
One of the most frequent causes of driving accidents around the world is driver drowsiness or fatigue. As a result, many people suffer fatal injuries and severe enough injuries that they can never even stand unassisted again. Their entire lives dependent on others. The primary focus of the project is image processing, and by simulating it on the Raspberry Pi Microprocessor, we will build a Driver Drowsiness Detection System. Every type of vehicle in the world can be equipped with the system, which will alert the driver or passengers if it notices signs of sleepiness in the driver's eyes. By calculating the amount of time, the system can determine whether the eyes are sleepy.
"Driver Driver Drowsiness Detection System", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c291-c292, March-2023, Available :https://ijnrd.org/papers/IJNRD2303240.pdf
Volume 8
Issue 3,
March-2023
Pages : c291-c292
Paper Reg. ID: IJNRD_187776
Published Paper Id: IJNRD2303240
Downloads: 000118856
Research Area: Engineering
Country: Pune, Maharashtra, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave