ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
FUZZY BASED DRIVER MONITORING SYSTEM
Authors
Pravalika.U , Dr.K.Padmaja
Keywords
Driver Drowsiness Detection, Fuzzy Logic, Machine Learning, Image Processing, Facial Landmark Detection, Eye Aspect Ratio, Adaptive Thresholding, Real-Time Monitoring, Python, OpenCV.
Abstract
Drowsiness while driving is a major cause of road accidents worldwide. Fatigue reduces driver alertness, reaction time, and concentration, leading to fatal consequences. To address this, a low-cost, real-time driver drowsiness monitoring system is developed using image processing, fuzzy logic, and machine learning techniques. The system captures facial video through a webcam, detects facial landmarks, and analyzes parameters such as eye aspect ratio (EAR), mouth opening ratio (MOR), and nose length ratio (NLR). These values are processed through a Fuzzy Inference System (FIS) to classify the driver's alertness level. The proposed approach integrates adaptive thresholding and machine learning algorithms like Support Vector Machine (SVM) and Fisher Linear Discriminant Analysis (FLDA) for enhanced accuracy. Experimental results demonstrate that the proposed system effectively detects fatigue with high sensitivity and specificity, making it a practical solution for intelligent transportation systems.
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IJCRT — journal style
"FUZZY BASED DRIVER MONITORING SYSTEM", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 11, page no.g713-g720, November 2025, Available :https://ijcrt.org/papers/IJCRT2511794.pdf
APA — 7th edition
Pravalika.U, & Dr.K.Padmaja. (2025). FUZZY BASED DRIVER MONITORING SYSTEM. International Journal of Creative Research Thoughts, 13(11), g713-g720. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794
MLA — 9th edition
Pravalika.U, and Dr.K.Padmaja. "FUZZY BASED DRIVER MONITORING SYSTEM." International Journal of Creative Research Thoughts, vol. 13, no. 11, 2025, pp. g713-g720, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794.
Chicago — 17th, bibliography
Pravalika.U, and Dr.K.Padmaja. "FUZZY BASED DRIVER MONITORING SYSTEM." International Journal of Creative Research Thoughts 13, no. 11 (2025): g713-g720. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794.
Harvard — author–date
Pravalika.U and Dr.K.Padmaja (2025) 'FUZZY BASED DRIVER MONITORING SYSTEM', International Journal of Creative Research Thoughts, 13(11), pp. g713-g720. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794
IEEE — numbered reference
Pravalika.U and Dr.K.Padmaja, "FUZZY BASED DRIVER MONITORING SYSTEM," IJCRT, vol. 13, no. 11, pp. g713-g720, Nov. 2025.
Vancouver — biomedical
Pravalika.U, Dr.K.Padmaja. FUZZY BASED DRIVER MONITORING SYSTEM. IJCRT. 2025 Nov;13(11):g713-g720.
AMA — 11th edition
Pravalika.U, Dr.K.Padmaja. FUZZY BASED DRIVER MONITORING SYSTEM. IJCRT. 2025;13(11):g713-g720. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2511794,
author = {Pravalika.U and Dr.K.Padmaja},
title = {FUZZY BASED DRIVER MONITORING SYSTEM},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {11},
pages = {g713-g720},
year = {2025},
month = {November},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Pravalika.U
AU - Dr.K.Padmaja
TI - FUZZY BASED DRIVER MONITORING SYSTEM
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 11
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794
SP - g713-g720
ER -
Issue
Volume 13 Issue 11,
November-2025
Pages : g713-g720
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 11, November 2025
- Pages
- g713-g720
- Published
- November 2025
- Registration ID
- IJCRT_295816
- Published Paper ID
- IJCRT2511794
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- mancherial, telangana, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 170
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511794
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2511794.pdf
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