Abstract
As the earth is becoming a virtual globe, the advancement in technology can be used to save lives that are lost in accidents due to belated help. Accidents occur for a variety of reasons like swerving off because of pets, sudden failure of internal mechanism in automobiles, distraction caused bysudden noises and sights, unseen object shadows in night time and the list goes on. In this paper we suggest a system incorporated into street lamps or lamp posts that identify accidents when they occur by use of Feature Extraction technique. The system on analysing an accident alerts the nearby medical personnel and law enforcement by the presence of Global Positioning System embedded in it. In this method we can ensure that lives are saved by timely help at the Golden Hour. In addition, the lamp posts can be interconnected to form a network and each lamp posts covers about some particular distance in 3600 direction. Basically designed for road traffic accidents, this system also has the possibility of identifying other crimes that occur in streets and alerting the law enforcement to it. By incorporating the system in lamp posts we can ensure that it is allocated to nearly all human inhabited areas thereby assuring timely help in case of emergencies.
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References
American College of Surgeons. Advanced Trauma Life Support Program for Doctors (Atls) (2008). Campbell, J.: International Trauma Life Support for Emergency Care Providers, p. 12, 8th Global edn. Pearson (2018)
Ki, Y.-K.: Accident detection system using image processing and MDR. Int. J. Comput. Sci. Netw. Secur. 7(3), 35–39 (2007)
Chaudhari, L.: Advanced golden hour rescue system using android. Int. J. Eng. Educ. Technol. (ARDIJEET) 04(02) (2016). www.ardigitech.in. ISSN 2320-883X
Javale, P., Gadgil, S., Bhargave, C., Kharwandikar, Y.: Accident detection and surveillance system using wireless technologies. IOSR J. Comput. Eng. (IOSR-JCE) 16(2), 38–43 (2014). e-ISSN 2278-0661, p-ISSN 2278-8727
https://www.globalspec.com/learnmore/video_imaging_equipment/video_cameras_accessories/ccd_cameras
Goel, R., Kumar, V., Srivastava, S., Sinha, A.K.: A review of feature extraction techniques for image analysis. IJARCCE Int. J. Adv. Res. Comput. Commun. Eng. 6(2), 153–155 (2017)
Dhillon, P., et al.: A review paper on Zigbee (IEEE 802.15.4) standard. Int. J. Eng. Res. Technol. (IJERT) 3(4), 141–145 (2014). ISSN 2278-0181
Mhaskeet, D.A., et al.: Smart street lighting using a Zigbee & GSM network for high efficiency & reliability. Int. J. Eng. Res. Technol. (IJERT) 3(4), 175–179 (2014)
Kapoor, P.: India way behind 2020 target, road accidents still kill over a lakh a year. Times of India, updated on October 04 2018 at official website of TOI
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Ilakkiya, S., Abinaya, R., Shalini, R., Kiruthika, K., Jackulin, C. (2020). Surveillance System for Golden Hour Rescue in Road Traffic Accidents. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_132
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DOI: https://doi.org/10.1007/978-3-030-32150-5_132
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