Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)

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IoT Enabled Accident Prevention

Authors
Harinatha Reddy Chennam1, *, Pradep Kumar Yadav Allagadda2, Siva Y. Reddy.3, Bramhananda Reddy Teegala3, Ravi Sankara Reddy Netapally1, N. Dinesh Kumar4
1Associate Professor, Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College (Autonmous), Kurnool, 518007, India
2Assistant Professor, Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College (Autonmous), Kurnool, 518007, India
3Professor, Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College (Autonmous), Kurnool, 518007, India
4Dean R and D, Vignan Institute of Technology and Science, Deshmukhi, Telangana, India
*Corresponding author. Email: harinath.eee@gprec.ac.in
Corresponding Author
Harinatha Reddy Chennam
Available Online 17 March 2025.
DOI
10.2991/978-94-6463-662-8_57How to use a DOI?
Keywords
Driver drowsiness detection; Internet of Things; Embedded Systems; Arduino; Sensors; accident prevention
Abstract

Modern technology is developed with the goal of protecting human life and making it convenient. Accidents on Indian roadways frequently result in fatalities because of abrupt braking, tired drivers, and speeding. An Internet of Things (IoT) solution that makes use of ultrasonic sensors and an Arduino microcontroller has been developed to address these issues. This prototype model assures driver attentiveness to prevent accidents, recognizes possible collision hazards, and informs drivers to maintain safe distances and speeds. The system also uses camera-based detection to detect driver drowsiness, alerting the user if their eyes are closed for a lengthy amount of time. This integrated method efficiently prevents accidents and improves road safety by combining video detection with IoT technologies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)
Series
Advances in Engineering Research
Publication Date
17 March 2025
ISBN
978-94-6463-662-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-662-8_57How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Harinatha Reddy Chennam
AU  - Pradep Kumar Yadav Allagadda
AU  - Siva Y. Reddy.
AU  - Bramhananda Reddy Teegala
AU  - Ravi Sankara Reddy Netapally
AU  - N. Dinesh Kumar
PY  - 2025
DA  - 2025/03/17
TI  - IoT Enabled Accident Prevention
BT  - Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)
PB  - Atlantis Press
SP  - 734
EP  - 742
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-662-8_57
DO  - 10.2991/978-94-6463-662-8_57
ID  - Chennam2025
ER  -