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Internet of Things Based Smart Accident Recognition and Rescue System Using Deep Forests ML Algorithm

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Recent Advances in Internet of Things and Machine Learning

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 215))

Abstract

Road accidents are very common nowadays. As more people are buying vehicles, the frequency of road accident increases. There are gargantuan amount of sensor available in the vehicles to monitor the condition of both the vehicle and the people traveling in it. To trim down the fatality rate, nowadays automobiles are manufactured with various safety measures (like air bag system) to prevent the people from accident. But it is extremely intricate to deal with injured people who are involved in the accident. The process of informing the hospital to attend the injured people, informing the police station to indicate the accident zone and claiming the insurance for the vehicle becomes a difficult task. The proposed Deep Forests algorithm is the Machine Learning Algorithm which recognizes the accident in most accurate way with enhanced hyper parameters, In order to speedup this process, a smart accident recognition and rescue system is introduced which performs these tasks in an easy way.

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References

  1. https://www.who.int/publications/i/item/9789241565684

  2. https://morth.nic.in/

  3. Mulla, J.M.S., Gavade, D., Bidwai, S.S., Bidwai, S.S.: Research paper on airbag deployment and accident detection system for economic cars. In: 2017 2nd International Conference for Convergence in Technology (I2CT), Mumbai, India, 2017, pp. 846–849 (2017). https://doi.org/10.1109/I2CT.2017.8226248

  4. Khan, M.H.U., Howlader, M.M.: Design of an intelligent autonomous accident prevention, detection and vehicle monitoring system. In: 2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), Dhaka, Bangladesh, 2019, pp. 40–42 (2019). https://doi.org/10.1109/RAAICON48939.2019.6263505

  5. Rishi, R., Yede, S., Kunal, K., Bansode, N.V.: Automatic messaging system for vehicle tracking and accident detection. In: 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2020, pp. 831–834 (2020). https://doi.org/10.1109/ICESC48915.2020.9155836.

  6. Sherif, H.M., Shedid, M.A., Senbel, S.A.: Real time traffic accident detection system using wireless sensor network. In: 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR), Tunis, Tunisia, 2014, pp. 59-64 (2014). https://doi.org/10.1109/SOCPAR.2014.7007982

  7. Fanca, A., Puşcaşiu, A., Vălean, H.: Accident reporting and guidance system: with automatic detection of the accident. In: 2016 20th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, 2016, pp. 150–155 (2016). https://doi.org/10.1109/ICSTCC.2016.7790657

  8. Hemanth Kumar, G., Ramesh, G.P.: Energy efficient multi-hop routing techniques for cluster head selection in wireless sensor networks. In: Computational Intelligence and Complexity,vol. 193, pp. 297–305. Springer (2021)

    Google Scholar 

  9. Khalil, U., Nasir, A., Khan, S.M., Javid, T., Raza, S.A., Siddiqui, A.: Automatic road accident detection using ultrasonic sensor. In: 2018 IEEE 21st International Multi-Topic Conference (INMIC), Karachi, Pakistan, 2018, pp. 206–212 (2018). https://doi.org/10.1109/INMIC.2018.8595541

  10. Hemanth Kumar, G., Ramesh, G.P.: Energy efficiency and data packet security for wireless sensor networks using African Buffalo Optimization. Int. J. Control Autom. 13(2), 944–995 (2020)

    Google Scholar 

  11. Nasr, E., Kfoury, E., Khoury, D.: An IoT approach to vehicle accident detection, reporting, and navigation. In: 2016 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET), Beirut, Lebanon, 2016, pp. 231–236 (2016). https://doi.org/10.1109/IMCET.2016.7777457

  12. Thirupathieswaran, R., Suria Prakash, C.R.T., Krishnan, R.S., Narayanan, K.L., Kumar, M.A. Robinson, Y.H.: Zero queue maintenance system using Smart Medi Care Application for Covid-19 pandemic situation. In: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021, pp. 1068–1075 (2021). https://doi.org/10.1109/ICICV50876.2021.9388454

  13. Narayanan, K.L., Ram, C.R.S., Subramanian, M., Krishnan, R.S., Robinson, Y.H.: IoT based smart accident detection & insurance claiming system. In: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021, pp. 306–311 (2021). https://doi.org/10.1109/ICICV50876.2021.9388430

  14. Ramesh, G.P., Kumar, N.M.: Design of RZF antenna for ECG monitoring using IoT. Multim. Tools Appl. 79(5), 4011–4026 (2020)

    Article  Google Scholar 

  15. Krishnan, R.S., Sangeetha, A., Kumar, A., Narayanan, K.L., Robinson, Y.H.: IoT based smart rationing system. In: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021, pp. 300–305 (2021). https://doi.org/10.1109/ICICV50876.2021.9388451

  16. Krishnan, R.S., Kannan, A., Manikandan, G., Sri Sathya, K.B., Sankar, V.K., Narayanan, K. L.: Secured college bus management system using IoT for Covid-19 pandemic situation. In: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021, pp. 376–382 (2021). https://doi.org/10.1109/ICICV50876.2021.9388378

  17. Harold Robinson, Y., Santhana Krishnan, R., Raja, S.: A comprehensive study for security mechanisms in healthcare information systems using Internet of Things. In: Balas, V., Solanki, V., Kumar, R. (eds.) Internet of Things and Big Data Applications. Intelligent Systems Reference Library, vol. 180. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39119-5_15

  18. Lakshmi Narayanan, K., Ganesan, J., Kasinathaguru: Intranet based multiple equipment controller with text panel. Irish Interdiscip. J. Sci. Res. 4(3), 120–126 (2020)

    Google Scholar 

  19. Lakshmi Narayanan, D.K., Ramesh, G.P.: Robust and brittle secured video for IoT. Int. J. Eng. Technol. 7(2.20), 93–96 (2018)

    Google Scholar 

  20. Ramasamy Sankar Ram, C., Ravimaran, S., SanthanaKrishnan, R., Golden Julie, E., Harold Robinson, Y., Kumar, R., Son, L.H., Thong, P.H., QuangThanh, N., Ismail, M.: Internet of Green Things with autonomous wireless wheel robots against green houses and farms. Int. J. Distrib. Sens. Netw. 16(6) (2020)

    Google Scholar 

  21. Santhana Krishnan, R., Golden Julie, E., Harold Robinson, Y., Raja, S., Kumar, R., Thong, P.H., Son, L.H.: Fuzzy logic based smart irrigation system using Internet of Things. J. Clean. Prod. 252, 119902 (2020)

    Google Scholar 

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Authors and Affiliations

  1. Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India

    K. Lakshmi Narayanan & R. Niranjana

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Tamilnadu, India

    Y. Harold Robinson

  3. PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India

    Rajkumar Krishnan

  4. CSE, University College of Engineering, Anna University, Tiruchirappalli, Tamilnadu, India

    C. Ramasamy Sankar Ram

  5. SCAD College of Engineering and Technology, Tirunelveli, India

    R. Santhana Krishnan & A. Essaki Muthu

Authors
  1. K. Lakshmi Narayanan
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  2. Y. Harold Robinson
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  3. Rajkumar Krishnan
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  4. C. Ramasamy Sankar Ram
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  5. R. Santhana Krishnan
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  6. R. Niranjana
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  7. A. Essaki Muthu
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Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  2. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana, India

    Vijender Kumar Solanki

  3. Department of Computer Science Engineering, GIET University, Gunupur, India

    Raghvendra Kumar

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Lakshmi Narayanan, K. et al. (2022). Internet of Things Based Smart Accident Recognition and Rescue System Using Deep Forests ML Algorithm. In: Balas, V.E., Solanki, V.K., Kumar, R. (eds) Recent Advances in Internet of Things and Machine Learning. Intelligent Systems Reference Library, vol 215. Springer, Cham. https://doi.org/10.1007/978-3-030-90119-6_4

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