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Niraj Damakale, Sahil Naik, Siddharth Kirad, Omkar Sonawane, Kamlesh Mahajan
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- Student, Student, Student, Student, Assistant Professor, Department of Mechanical Engineering, NBNSTIC, Department of Mechanical Engineering, NBNSTIC, Department of Mechanical Engineering, NBNSTIC, Department of Mechanical Engineering, NBNSTIC, Department of Mechanical Engineering, NBNSTIC, Maharashtra, Maharashtra, Maharashtra, Maharashtra, Maharashtra, India, India, India, India, India
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Abstract
nThe accelerometer detects changes in the vehicle’s axis and the GSM module sends an alert message to the phone indicating the location of the event. Advanced technology makes our daily life easier. Because every coin has two sides, technology has both strengths and weaknesses. The development of technology has increased the number of traffic accidents, resulting in numerous deaths. The poor medical facilities that exist in our country exacerbate the problem. Our project will help you solve this problem. Road accidents continue to be a serious threat to property and human lives. It is essential to have sophisticated collision detection technologies to lessen the impact and aftereffects of car accidents. This research study suggests a novel method for an Automobile Collision Detection System that makes use of Global Positioning System and Global System for Mobile Communications technology. By properly detecting and reporting crashes in real-time, the suggested system intends to enable quick emergency action and maybe save lives.
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Keywords: Arduino, GSM, GPS, LCD display, vibration sensor
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Browse Figures
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References
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- Syedul Amin Md, Bhuiyan MAS, Reaz MBI, Nasir SS. GPS and map matching based vehicle accident detection system. Proceedings of the IEEE Student Conference on Research and Development (SCOReD); Dec 16-17; Putrajaya, Malaysia: IEEE; 2013.
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- Nazir, Rashida, et al. “Accident prevention and reporting system using GSM (SIM 900D) and GPS (NMEA 0183).” Int’l J. of Communications, Network and System Sciences 2014 (2014).
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- Dangat PMT, Lonkar A, Bharambe N, Pujari R, Surana R. GSM and GPS based accident detection system. Int J Res Appl Sci Eng Technol. 2022; 10 (5): 2537–2538. doi: 10.22214/ijraset.2022.42899.
- Anitha T, Uppalaigh T. Android based home automation using Raspberry pi. Proc IEEE; 4 (1): 2351–2355.
- Nwankwo W, Adetunji CO, Olayinka AS. IoT-driven Bayesian learning: a case study of reducing road accidents of commercial vehicles on highways. In: Artificial Intelligence-based Internet of Things Systems. Berlin, Germany: Springer Nature; 2022: pp. 391–418.
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International Journal of Manufacturing and Production Engineering
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| Volume | 01 |
| Issue | 01 |
| Received | June 25, 2023 |
| Accepted | July 10, 2023 |
| Published | November 29, 2023 |
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