Abstract
The new age cannot be imagined without advanced technology. In many aspects of our lives, automated systems have taken over traditional systems. IoT plays a significant role in all automated devices. Road accidents have become a major concern today. In several occasions, persons have died because of not receiving emergency treatment services following an injury. This paper mentions a cost-effective IoT-based innovative system to track the accident from the authority’s control room. The system can detect road accidents and notify the concerned authority by sending the location and car number. Additionally, an emergency push button with face detection has been incorporated to help anyone in distress. The self-powered system can remotely monitor the street light and increase or decrease its light intensity. Deep learning has been used for implementation, the system can be operated by a mobile application from anywhere at any time, and the data will be updated periodically on the server. It is believed that this project will have a massive impact on society and will bring positive results.
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Acknowledgements
First and foremost, the authors wish to express their gratitude to the Almighty. The authors would like to thank Vice-Chancellor Dr. Carmen Z. Lamagna and the Electrical and Electronics Engineering Department of American International University-Bangladesh for their support. Furthermore, the authors would like to thank Sujan Howlader for his inspiration and encouragement.
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Islam, M.H., Fariya, K.Y., Tanim, M.T.H., Talukder, T.I., Chisty, N.A. (2022). IoT-Based Smart Street Light for Improved Road Safety. In: Zhang, YD., Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. Lecture Notes in Networks and Systems, vol 286. Springer, Singapore. https://doi.org/10.1007/978-981-16-4016-2_36
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DOI: https://doi.org/10.1007/978-981-16-4016-2_36
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