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Pandemic Drone with Thermal Imaging and Crowd Monitoring System (DRISHYA)

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Technical Advancements of Machine Learning in Healthcare

Part of the book series: Studies in Computational Intelligence ((SCI,volume 936))

Abstract

The idea proposed here is the introduction of an Unmanned Aerial Vehicle (UAV) named “Drishya” to tackle the situation of the spread of novel coronavirus. The UAV has been equipped with all the necessary technologies to cater to such adverse situations. Drishya’s main objective is to monitor social distancing and trace COVID-19 infected suspects with the help of two cameras, one for normal vision and the other for high range thermal optimization. The thermal camera will be able to detect any suspect with a temperature higher than normal and hence can be sent for screening. With such technology least human intervention is required on the field which makes it more safe. This process is a better alternative due to its high efficiency and least human involvement. It is most applicable for high transmission areas or rather the areas symbolized as a red zone. It also acts as a helping hand for the medical teams out for screening person to person.

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References

  1. Zaheer, Z., Usmani, A., Khan, E., Qadeer, M.A.: Aerial surveillance system using UAV. In: IEEE Thirteenth International Conference on Wireless and Optical Communications Networks (WOCN), pp. 1–7 (2016)

    Google Scholar 

  2. Alwateer, M., Loke, S.W., Fernando, N.: Enabling drone services: drone crowdsourcing and drone scripting. IEEE Access 7 (2019)

    Google Scholar 

  3. Kim, S.J., Lim, G.J.: Drone-aided border surveillance with an electrification line battery charging system. J. Intell. Robot. Syst. 92(3–4), 657–670 (2018)

    Google Scholar 

  4. Sarkar, S., Totaro, M.W., Elgazzar, K.: Intelligent drone-based surveillance: application to parking lot monitoring and detection. In: Unmanned Systems Technology XXI, vol. 11021, p. 1102104. International Society for Optics and Photonics (2019)

    Google Scholar 

  5. Kayan, H., Eslampanah, R., Yeganli, F., Askar, M.: Heat leakage detection and surveillance using aerial thermography drone. In: IEEE 26th Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (2018)

    Google Scholar 

  6. Fallah-Haghmohammadi, H., Necsulecsu, D.-S.: Fever detection for dynamic human environment using sensor fusion. In: IEEE International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) and 2017 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP), pp. 881–886 (2017)

    Google Scholar 

  7. Tzelepi, M., Tefas, A.: Human crowd detection for drone flight safety using convolutional neural networks. In: IEEE 25th European Signal Processing Conference (EUSIPCO), pp. 743–747 (2017)

    Google Scholar 

  8. Küchhold, M., Simon, M., Eiselein, V., Sikora, T.: Scale-adaptive real-time crowd detection and counting for drone images. In: 25th IEEE International Conference on Image Processing (ICIP), pp. 943–947 (2018)

    Google Scholar 

  9. Chen, X., Zhai, G., Wang, J., Hu, C., Chen, Y.: Color guided thermal image super resolution. In: 2016 Visual Communications and Image Processing (VCIP), pp. 1–4 (2016)

    Google Scholar 

  10. Savitha, C., Ramesh, D.: Motion detection in video surveillance: a systematic survey. In: IEEE 2nd International Conference on Inventive Systems and Control (ICISC), pp. 51–54 (2018)

    Google Scholar 

  11. Hu, W., Tan, T., Wang, L., Maybank, S.: A survey on visual surveillance of object motion and behaviours. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 34(3), 334–352 (2004)

    Google Scholar 

  12. Ding, G., Wu, Q., Zhang, L., Lin, Y., Tsiftsis, T.A., Yao, Y.-D.: An amateur drone surveillance system based on the cognitive Internet of Things. IEEE Commun. Mag. 56(1), 29–35 (2018)

    Google Scholar 

  13. Müller, T., Müller, M.: Vision-based drone flight control and crowd or riot analysis with efficient color histogram based tracking. In: Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII, vol. 8020, p. 80200R. International Society for Optics and Photonics (2011)

    Google Scholar 

  14. Engberts, B., Gillissen, E.: Policing from above: drone use by the police. In: The Future of Drone Use, pp. 93–113. TMC Asser Press, The Hague (2016)

    Google Scholar 

  15. Somboonkaew, A., Prempree, P., Vuttivong, S., Wetcharungsri, J., Porntheeraphat, S., Chanhorm, S., Pongsoon, P. et al.: Mobile-platform for automatic fever screening system based on infrared forehead temperature. In: IEEE Opto-Electronics and Communications Conference (OECC) and Photonics Global Conference (PGC), pp. 1–4 (2017)

    Google Scholar 

  16. Vasudevan, S.K., Kowshik, G., Anudeep, J.: Driver feedback system with white line fever detection. In: IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), pp. 1–6 (2019)

    Google Scholar 

  17. Van, L.P., De Praeter, J., Van Wallendael, G., De Cock, J., Van de Walle, R.: Machine learning for arbitrary downsizing of pre-encoded video in HEVC. In: IEEE International Conference on Consumer Electronics (ICCE), pp. 406–407 (2015)

    Google Scholar 

  18. Haghmohammadi, H.F., Necsulescu, D.S., Vahidi, M.: Remote measurement of body temperature for an indoor moving crowd. In: IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), pp. 1–6 (2018)

    Google Scholar 

  19. Manekiya, M.H., Arulmozhivarman, P.: Leakage detection and estimation using IR thermography. In: IEEE International Conference on Communication and Signal Processing (ICCSP), pp. 1516–1519 (2016)

    Google Scholar 

  20. Medjeldi, T., Guillemette, S.: Wireless system for detecting human temperature. In: IEEE Science and Information Conference, pp. 156–159 (2013)

    Google Scholar 

  21. Song, K.-S., Nho, Y.-H., Kwon, D.-S.: Histogram based fall prediction of patients using a thermal imagery camera. In: IEEE 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 161–164 (2017)

    Google Scholar 

  22. Malarić, K., Malarić, R., Herceg, J.: Measurement of temperature inside open TEM-cell with thermal camera. In: 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, pp. 1–5 (2017)

    Google Scholar 

  23. Yong, S.P., Yeong, Y.-C.: Human object detection in forest with deep learning based on drone’s vision. In: IEEE 4th International Conference on Computer and Information Sciences (ICCOINS), pp. 1–5 (2018)

    Google Scholar 

  24. Krishna, S.L., Chaitanya, G.S.R., Reddy, A.S.H., Naidu, A.M., Poorna, S.S., Anuraj, K.: Autonomous human detection system mounted on a drone. In: IEEE International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), pp. 335–338 (2019)

    Google Scholar 

  25. Tariq, R., Rahim, M., Aslam, N., Bawany, N., Faseeha, U.: Dronaid: a smart human detection drone for rescue. In: IEEE 15th International Conference on Smart Cities: Improving Quality of Life Using ICT and IoT (HONET-ICT), pp. 33–37 (2018)

    Google Scholar 

  26. Kim, S., Lee, W., Yim, J., Park, Y.-S., Lee, Y.-T.: Human monitoring system using drones for riverside area. In: IEEE International Conference on Information and Communication Technology Convergence (ICTC), pp. 1054–1057 (2017)

    Google Scholar 

  27. Cheng, Z., West, R., Einstein, C.: End-to-end analysis and design of a drone flight controller. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11), 2404–2415 (2018)

    Article  Google Scholar 

  28. Saha, A., Kumar, A., Sahu, A.K.: FPV drone with GPS used for surveillance in remote areas. In: IEEE Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 62–67 (2017)

    Google Scholar 

  29. Yazawa, R., Matsuura, M.: Flight demonstration of power-over-fiber drone for airborne base stations. In: IEEE 23rd Opto-Electronics and Communications Conference (OECC), pp. 1–2 (2018)

    Google Scholar 

  30. Kim, J., Lee, Y.S., Han, S.S., Kim, S.H., Lee, G.H., Ji, H.J., Choi, H.J., Choi, K.N.: Autonomous flight system using marker recognition on drone. In: IEEE 21st Korea–Japan Joint Workshop on Frontiers of Computer Vision (FCV), pp. 1–4 (2015)

    Google Scholar 

  31. Venugopalan, T.K., Taher, T., Barbastathis, G.: Autonomous landing of an unmanned aerial vehicle on an autonomous marine vehicle. In: IEEE Oceans, pp. 1–9 (2012)

    Google Scholar 

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Correspondence to Shivam Pandey .

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Pandey, S., Barik, R.K., Gupta, S., Arthi, R. (2021). Pandemic Drone with Thermal Imaging and Crowd Monitoring System (DRISHYA). In: Tripathy, H.K., Mishra, S., Mallick, P.K., Panda, A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_15

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