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Image Processing Based Driving Assistant System
Subject area: Science,Engineering and Technology · Area of research: Digital Image Processing
Abstract
Rapid industrialization and the consequent urbanization has brought about an unprecedented revolution in the growth of motor vehicles all over the world and India is no exception. Such growing urbanization, combined with rising number of vehicle ownership, has led in recent years to an increased traffic related stress and overnight driving exhaustion which lead to accidents in long term and short term period of time. To avoid such ambiguity we are developing a system which will detect autonomously and continuously track drivers' faces and determine its emotion. With the help of which we can pinpoint if the driver falls to sleep. If the driver is falling asleep an alarming sound will play to wake up the driver and we can make speed adjustments in the car. Based on the emotion we can play music to make the driver journey more joyful.
Keywords
Arduino, Image processing, Machine Learning, YOLO
References
[1] Communication and Aerospace Technology (ICECA) Face detection and tracking: Using OpenCV, 2017 International conference of Electronics.
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[3] Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, "Multiview RGB-D Dataset for Object Instance Detection", 3D Vision (3DV) 2016 Fourth International Conference on, pp. 426-434, 2016.
[4] Tian Wang, Yang Chen, Mengyi Zhang, Jie Chen, Hichem Snoussi, "Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets", Access IEEE, vol. 5, pp. 17627-17633, 2017.
[5] Ijaiem, Traffic Surveying And Analysis, International Journal of Application or Innovation in Engineering & Management.
[6] Smita Desai et al, International Journal of Computer Science and Mobile Computing, Vol.6 Issue.9, September- 2017, pg. 46-50, IJCSMC All Rights Reserved 47. ACKNOWLEDGMENT We are grateful to the management of Shah & Anchor Kutchhi Engineering College for providing us the facility for the completion of our task. Firstly we extend our gratitude to Dr. Bhavesh Patel, Principle of Shah and Anchor Kutchhi Engineering College for his continuous support. We express our heartfelt thanks to our guide Mrs. Nibha desai for her valuable guidance and advice related to this work. Our note of thanks goes to our most cherished Head of Department Dr. Shubha Subramaniam for her undiminished trust and his support throughout our tenure and for giving us the opportunity to work on our project which made us capable of handling assignments on our own and become relevant.
How to cite this paper
@article{1702304,
author = {Gunjan Gala, Ganesh Chavan, Nibha Desai},
title = {Image Processing Based Driving Assistant System},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {11},
pages = {171-174},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702304.pdf},
abstract = {Rapid industrialization and the consequent urbanization has brought about an unprecedented revolution in the growth of motor vehicles all over the world and India is no exception. Such growing urbanization, combined with rising number of vehicle ownership, has led in recent years to an increased traffic related stress and overnight driving exhaustion which lead to accidents in long term and short term period of time. To avoid such ambiguity we are developing a system which will detect autonomously and continuously track drivers' faces and determine its emotion. With the help of which we can pinpoint if the driver falls to sleep. If the driver is falling asleep an alarming sound will play to wake up the driver and we can make speed adjustments in the car. Based on the emotion we can play music to make the driver journey more joyful.},
keywords = {Arduino, Image processing, Machine Learning, YOLO},
month = {May},
}