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INTERNATIONAL JOURNAL OF IOT AND DATA SCIENCE (IJIDS) > Volume 1, Issue 1, January-December 2023 PDF HTML XML
DETECTION DROWINESS WHILE DRIVING USING RASPBERRY PI
Thanniru Pavan Vinayak 1 ; Gugulothu Sai Dhanush 2 ; Nallagorla Sowmya 3 ; Mamidi Sri Vidhya 42 Student, ECE Department, Malla Reddy Institution of Technology and Science, Hyderabad, Telangana, India.
3 Student, ECE Department, Malla Reddy Institution of Technology and Science, Hyderabad, Telangana, India.
4 Student, ECE Department, Malla Reddy Institution of Technology and Science, Hyderabad, Telangana, India.
Article Id - IJIDS_1_1_002, Pages : 7-13, Date of Publication : 04, August 2023
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Abstract
Drowsiness and the Fatigue of drivers are among the significant cause of road accidents. Every year they increases the amount of deaths and fatalities injuries globally. In this paper a module for Advanced Driver Assistance System (ADAS); this system deals with the automation driver drowsiness detection based on visual information and Artificial Intelligence. We propose an algorithm to locate, track, and analyze both the drivers face and eyes to measure of drowsiness associated with slow eye closure. The video will be recorded using the webcam to see the transition from awake to fatigue and finally, drowsy. The designed system deals with detecting the face area of the image captured from the video. The purpose of using the face area so it can narrow down to detect eyes and mouth within the face area. Once+ the face is found the eyes and mouth are found by creating the eye for left and right eye detection and also mouth detection. The parameters of the eyes and mount detection are created within the face image.
Keywords
ADAS, EBCM
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References
[1] Rhody Chester, H. F. ‘’Hough Circle Transform‘’, CarlsonCenter for ImagingScience Rochester Institute of Technology October 11, 2005
[2] Mario I Chacon-Murguia Claudia Prieto-Resendiz, ”Detecting Driver Drowsiness-A survey of system designs and technology,” IEEE Consumer Electronics Magazine,pp.107-108,October 2015.
[3] Mayank Chauhan, Mukesh Sakle”Study & Analysis of Different Face Detection Techniqes” International Journal of Computer Science and Information Technologies, Vol. 5 (2) , pp 1615-1618,2014.
[4] Paul Viola and Michael j. Jones,” Rapid Object Detection using a Boosted Cascade of Simple Features,” International Journal of Computer Vision 57(2), pp 137–154, 2001.
[5] Paul Viola and Michael j. Jones,” Robust Real-Time Face Detection,” International Journal of Computer Vision 57(2), 137–154, 2004.
[6] Aleksandra Krolak and Pawel Strumillo -Eye Blink Detection system for human computer interaction, universal access in the information society,2012.
[7] Brad ski, G. R., "Computer Video Face Tracking for Use in a Perceptual User Interface," Intel Technology J., Q. 2, 1998 Kim, C. and Turk, M., "Biased Discriminant Analysis Using Composite Vectors for Eye Detection," Proc. of the 8th IEEE Int. Conf. on Automatic Face and Gesture Recognition, Amsterdam, The Netherlands, September 17- 19, 2008.
[8] Appearance for eye tracking and eye-blink detection and measurement Ioana Bacivarov; Mircea Ionia; Peter Corcoran IEEE transaction on consumer electronics (Volume: 54, Issue:3, August 2008)
[9] Mu-Chun Su, National Central University, Department of Computer Science & Information Engineering-An Implementation of an Eye-blink- based Communication Aid for People with Severe Disabilities, August 2008.
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This Journal publishes papers related to all aspects of Internet of Things, from latest advance to review articles. Articles explore IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Investigations related to topical areas of research are especially encouraged, including IoT demands, impacts, and implications on sensors technologies, big data management, and future design for various IoT use cases, such as smart cities, smart environment, smart homes, etc.
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Dr. Sudhavani Ganta - Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
Dr. Gayathri Kasinathan - Assistant Professor, Annamalai University, Tamil Nadu, India
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Dr. Tanuja K Sarode - Professor and Head, Department of Computer Engineering at Thadomal Shahani Engineering College, Mumbai, India
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Dr. Mohammed.Faisal - Nizwa College of Technology, OMAN
Dr. Mohammed Ali Hussain - Sri Sai Madhavi Institute of Science & Technology, India
Dr. Inderjeet Kaur - Ajay Kumar Garg Engineering College, Ghiaziabad, India
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The topics to be covered by this journal include but are not limited to the following fields:
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