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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References
Bhartiya G, Pathak P (2020) Intelligent lighting control and energy management system. IEEE https://doi.org/10.1109/PARC49193.2020.236563, Downloaded on 14 June 2020 at 22:34:44
Road traffic injuries [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries, Accessed 7 Feb 2020
Saini P, Saini P, Jangid AK, Mamodiya U (2018) A smart street light system with auto fault detection. Pramana Res J 8(8) (2018). ISSN No: 2249-2976
Das G (2018) An intelligent method for optimizing the street-light-intensity. 978-1-5386-5550-4/18/$31.00 ©2018 IEEE
Priyanka S, Udaya Lakhshmi T, Sakthy SS (2019) Web-based street light system. 978-1-5386-9371-1/19/$31.00 ©2019 IEEE
Shivaleelavathi BG, Vinay ME, Sucheeth V (2018) Solar based smart street lighting system. In: 2018 third international conference on electrical, electronics, communication, computer technologies and optimization techniques (ICEECCOT) 14–15 Dec 2018. 978-1-5386-5130-8/18/$31.00 ©2018 IEEE
Roy B, Acharya A, Roy TK, Kuila S, Datta J (2018) A smart street-light intensity optimizer. In: Environmental science 2018, emerging trends in electronic devices and computational techniques (EDCT). https://doi.org/10.1109/EDCT.2018.8405098
Rishi R, Yede S, Yede S, Bansode NV (2020) Automatic messaging system for vehicle tracking and accident detection. In: ICESC 2020. IEEE Xplore part number: CFP20V66-ART. ISBN: 978-1-7281-4108-4. https://doi.org/10.1109/ICESC48915.2020.9155836
Vatti NR, Vatti PL, Vatti R, Garde C, Smart road accident detection and communication system. In: Proceeding of 2018 IEEE ICCTCT. https://doi.org/10.1109/ICCTCT.2018.8551179
Vimalesh N, Alsath GN, Design and Implementation of an interactive road safety system for young bikers, 4th international conference on advances in electrical, electronics, information, communication and bio-informatics (AEEICB-18). https://doi.org/10.1109/AEEICB.2018.8480944
Kinage V, Patil P, Iot based intelligent system for vehicle accident prevention and detection at real time. In: 2019 third international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC). https://doi.org/10.1109/I-SMAC47947.2019.9032662
Kader MA, Alam ME, Momtaj S, Necha S, Alam MS, Kadar Masum AKM, IoT based vehicle monitoring with accident detection and rescue system. https://doi.org/10.1109/ICCIT48885.2019.9038600
Khan A, Bibi A, Dilshad M, Ahmed S, Ullah Z, Ali H, Accident detection and smart rescue system using android smartphone with real-time location tracking. https://doi.org/10.14569/IJACSA.2018.0906480
Fierro A (1996) Histoire et dictionnaire de Paris. Robert Laffont. ISBN 978-2-221-07862-4
Rea MS, Bullough JD, Akashi Y (2009) Several views of metal halide and high pressure sodium lighting for outdoor applications. Light Res Technol 41(4):297–320. https://doi.org/10.1177/1477153509102342. S2CID 108884158.
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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