| Issue |
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 6 | |
| Section | Safety | |
| DOI | https://doi.org/10.1051/e3sconf/202339905002 | |
| Published online | 12 July 2023 | |
Intelligent Vehicle Black Box System Using IoT
1 Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Karur, India
2 Electronics and Instrumentation Engineering, M.Kumarasamy College of Engineering, Karur, India
* Corresponding author: sasirekhap.eee@mkce.ac.in
Humans are currently involved in numerous transportation-related accidents on the roads. Numerous accidents and fatalities caused by human error are the result of the rising number of vehicles on Indian roads and a lack of enforcement of traffic laws. They also suffer loss of life and valuable property as a result of those accidents. As a result, accidents involving driver inattention to traffic laws and driver fatigue follow. The field of computer vision is actively researching real-time eye detection and tracking. Face alignment can benefit from eye localization and tracking. The duration of eye closure and percentage of eye closure (PEC) can be used to measure driver fatigue. It is based on a hardware system that uses a camera to capture images of the driver in real time and software to monitor the driver's eye in order to prevent accidents. In the event of an accident, GSM and GPS are utilised to track the location of the automobile, and the local hospital and police are alerted. Thanks to IoT technology, this position may always be found in the cloud platform service. The 24/7 Governance is notified to call for emergency assistance by using the push and panic button.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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