Driver Fatigue Detection Using Image Processing
DOI:
https://doi.org/10.61841/f1ea5m27Keywords:
Drowsiness, Eye Gaze, Yawning, Distraction, Haar Cascade.Abstract
-- The quantity of street mishaps that happen every day is rising and greater parts of them are credited to being the driver's deficiency. In many of these cases, a fault in their driving is attributed to fatigue- lack of attention, drowsiness or outright dozing off while driving. This work proposes an observing framework that alarms the driver when he capitulates to sleep. The proposed calculation provides the live video feed concentrated on the driver's face and tracks his eye and mouth movements to identify eye closure and also the yawning rates using Haar Cascade classifiers. The driver is determined to be drowsy in two cases. The first is if the driver is found to be sleeping. The second is if the driver is found to be on the verge of sleeping which is determined if the driver yawns continuously. A buzzer is sounded if the driver is sluggish or effectively sleeping. The primary target of this work is to find a proficient methodology for distinguishing whether the driver is distracting from various objectives like drowsiness, etc. Specifically, the proposed method takes input as video using webcam present in the car. Using that it binarizes the picture and identifies whether a person is distracting or not. The proposed method gives an alarm when it detects the driver’s distraction.
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1. Shigeyuki Tateno, Xia Guan, Rui Cao and Zhaoxian Qu, ” Development of Drowsiness Detection System Based on Respiration changes,” 2018 IEEE.
2. Menchie Miranda, Alonica Villanueva, Mark JomarBuo and Reynald Merabite, ”Portable Prevention and Monitoring Of Driver’s Drowsiness Focuses Eyelid Movement Using IOT,” 2018 IEEE.
3. Bagus G. Pratama, IgiArdiyanto and Teguh B. Adji,” A Review on Driver Drowsiness Based on Image, Bio-Signal, and Driver Behavior,” 2017 IEEE.
4. Natalia I. Vargas-Cuentasand Avid Roman-Gonzalez, ” Facial Image Processing for Sleepiness Estimation,” 2017 IEEE.
5. Mr. S. S. Kulkarni, Mr. A. D. Harale and Mr. A. V. Thakur,” Image Processing for Driver’s Safety and Vehicle Control using Raspberry Pi and Webcam,” 2017 IEEE.
6. Anilkumar C.V, Mansoor Ahmed, Sahana R, Thejashwini R and Anisha P.S,” Design of Drowsiness, Heart Beat Detection System and Alertness Indicator for Driver Safety,” 2016 IEEE.
7. Whui Kim, Hyun-Kyun Choi, Byung-Tae Jang, Study on Training Convolutional Neural Network to Detect Distraction and Drowsiness, 2018 IEEE.
8. Luigi Celona, Lorenzo Mammana, Simone Bianco, Raimondo Schettini, A Multi-Task CNN Framework for Driver Face Monitoring, 2018 IEEE 8th International Conference on Consumer Electronics - Berlin.
9. Sujay Yadawadkar, Brian Mayer, SanketLokegaonkar, Mohammed Raihanul Islam. Naren Ramakrishnan, Miao Song, Michael Mollenhaeur, “Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data,” 2018 IEEE International Conference on Big Data.
10. Charlotte Jacobé de Nauroisa,b, Christophe Bourdina, Clément Bougardb, Jean-Louis Verchera, “Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness, Accident Analysis and Prevention,” 2018.
11. B. Lakshmi Ramani and Padmaja P, “Adaptive Fuzzy System with Robust GSCA-based Fuzzy Rule Extraction for Data Classification,” Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, 01-Special Issue, 2018.
12. Tumuluru. P and Ravi. B, “GOA-based DBN: Grasshopper Optimization Algorithm-based Deep Belief Neural Networks for Cancer Classification.” 2017, IJAER.
13. Tumuluru, P. and Ravi, B. “Chronological Grasshopper Optimization Algorithm- based Gene Selection and Cancer Classification.” Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, No. 3, 2018.
14. Praveen Tumuluru, Bhramaramba Ravi, "A Framework for Identifying of Gene to Gene Mutation causing Lung Cancer using SPI - Network", International Journal of Computer Applications, vol. 152, no. 10, pp. 21-26, Oct 2016.
15. Praveen Tumuluru, et al. "Credentials of Lung-Cancer Associated Genes Using Protein-Protein Interaction Network", International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 6, No. 3, pp. 82-89, March 2016.
16. Praveen T, Bhramaramba R "Dijkstra’s based Identification of Lung Cancer Related Genes using PPI Networks", IJCA, Vol. 163, No. 10, pp. 1-10, April 2017.
17. Praveen T, Bhramaramba R "A Survey on Gene Expression Classification Systems", International Journal of Scientific Research and Review ISSN NO: 2279-543X, Volume 6, Issue 12, 2017.
18. Praveen Tumuluru, B. Lakshmi Ramani et al. "OpenCV Algorithms for facial recognition", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue-8, June 2019.
19. Burra Lakshmi Ramani, Praveen Tumuluru et al. “Deep Learning and Fuzzy Rule-Based Hybrid Fusion Model for Data Classification” IJRTE, Volume-8, Issue-2, July 2019.
20. Praveen T, Radha M J et al. “Extreme Learning Model Based Phishing Classifier” IJRTE, Volume-8 Issue-4, November 2019.
21. B. Lakshmi Ramani, Padmaja P “Adaptive Lion Fuzzy System to Generate the Classification Rules using Membership Functions based on Uniform Distribution”, International Journal of Applied Engineering Research, Volume 12, 2017.
22. Tumuluru, P., Lakshmi, C.P., Sahaja, T., Prazna, R. “A Review of Machine Learning Techniques for Breast Cancer Diagnosis in Medical Applications “Proceedings of the 3rd International Conference on I- SMAC IoT in Social, Mobile, Analytics and Cloud, I-SMAC 2019.
23. Nalajala, S., Akhil, K., Sai, V., Shekhar, D.C., Tumuluru, P. “Light Weight Secure Data Sharing Scheme for Mobile Cloud Computing” Proceedings of the 3rd International Conference on I-SMAC IoT in Social, Mobile, Analytics and Cloud, I-SMAC 2019.
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