Skip to main content
SpringerLink
Log in

Real-Time Information Technology Human Detection Using Cloud Services

  • Conference paper
  • First Online:
Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making (ISDMCI 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 149))

  • 488 Accesses

Abstract

The current work proposes a complex solution for real-time human detection based on data received from CCTV cameras. This approach is based on modern deep learning methods and the use of cloud services such as AWS Rekognition, Cisco Meraki, MQTT broker. The solution consists of three parts: processing the video stream, human detection in the frame, mapping human locations and calculating the distance between individuals. The technology offers a semi-automatic method for remote acquisition of video stream data using modern cloud services, video stream framing, object recognition in received frames, separating human figures from other image objects, as well as counting people in the room and alerting the system administrator about exceeding the permissible limits for the presence of people. This technology has been integrated into the gym CRM-system. Testing of the modified CRM-system demonstrated its practical value and expanded capabilities for tracking and occupancy control without human intervention. Introduction of cloud technologies and machine learning in the CRM-system not only simplifies tracking and occupancy monitoring and could reduce unwanted contacts between people during the pandemic.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Cisco meraki. official page. https://meraki.cisco.com/

  2. Cloud computing services - amazon web services (aws). https://aws.amazon.com/ru/?nc1=h_ls

  3. Covid-19 coronavirus pandemic. https://www.worldometers.info/coronavirus/

  4. Deep learning in ArcGIS pro|ArcGIS pro j documentation. https://pro.arcgis.com/en/pro-app/help/analysis/image-analyst/deep-learning-in-arcgis-pro.htm

  5. How to detect people using computer vision. https://learn.alwaysai.co/object-detection

  6. Machine learning image and video analysis - amazon rekognition - amazon web services. https://aws.amazon.com/rekognition/?nc1=h_ls

  7. People density control solution. https://www.wg-plc.com/product/people-density-control-solution

  8. Real-time human detection in computer vision. https://medium.com/@madhawavidanapathirana/https-medium-com-madhawavidanapathirana-/real-time-human-detection-in-computer-vision-part-1-2acb851f4e55

  9. Real-time human detection with OpenCV. https://thedatafrog.com/en/articles/human-detection-video/

  10. Shcho take CRM-systema: povnyi hid po vyboru CRM. https://nethunt.ua/blog/shcho-takie-crm-sistiema-povnii-ghid-po-viboru-crm-dlia-pochatkivtsiv-v-2021/

  11. Steve ranger. an introduction to cloud computing, right from the basics up to IaaS and PaaS, hybrid, public, and private cloud, Aws and azure (2022). https://www.zdnet.com/article/what-is-cloud-computing-everything-you-need-to-know-about-the-cloud/

  12. Vplyv pandemii covid 19 ta karantynnu na profesiinu diialnist. https://eba.com.ua/vplyv-pandemiyi-covid-19-ta-karantynu-na-profesijnu-diyalnist/

  13. Colin gray. image recognition in tibco spotfire® using Python and Aws (2019). https://community.tibco.com/feed-items/image-recognition-tibco-spotfirer-using-python-and-aws

  14. Hromadska orhanizatsiia “tsentr prykladnykh doslidzhen" predstavnytstvo fondu konrada adenauera v ukraini “vplyv covid-19 ta karantynnykh obmezhen na ekonomiku ukrainy" (2020). https://www.kas.de/documents/270026/8703904/Vplyv+COVID-19+ta+karantynnykh+obmezhen+na+ekonomiku+Ukrainy.+Kabinetne+doslidzhennia+TsPD.+Lypen+2020.pdf/b7398098-a602-524d-7f88-6189058f69d3?version=1.0 &t=1597301028775

  15. Global growth to slow through 2023, adding to risk of ‘hard landing’ in developing economies, 11 Jan 2022. https://www.worldbank.org/en/news/press-release/2022/01/11/global-recovery-economics-debt-commodity-inequality

  16. Androshchuk, H.: Efekt pandemii covid-19: tsyfrovi tekhnolohii — kliuch do rozvytku biznesu. https://yur-gazeta.com/golovna/efekt-pandemiyi-covid19-cifrovi-tehnologiyi--klyuch-do-rozvitku-biznesu.html

  17. Fink, O., Wang, Q., Svensén, M., Dersin, P., Lee, W.J., Ducoffe, M.: Potential, challenges and future directions for deep learning in prognostics and health management applications. Eng. Appl. Artif. Intell. 92, 103678 (2020). https://doi.org/10.1016/j.engappai.2020.103678

    Article  Google Scholar 

  18. Furnkranz, J., (ed.): An analysis of ruleevaluation metrics. In: Conference: Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), 21-24 Aug 2003, Washington, DC, USA (2003)

    Google Scholar 

  19. Hnatushenko, V.V., Sierikova, K.Y., Sierikov, I.Y.: Development of a cloud-based web geospatial information system for agricultural monitoring using sentinel-2 data. In: 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). vol. 1, pp. 270–273 (2018). https://doi.org/10.1109/STC-CSIT.2018.8526717

  20. Hnatushenko, V., Zhernovyi, V.: Method of improving instance segmentation for very high resolution remote sensing imagery using deep learning. In: Babichev, S., Peleshko, D., Vynokurova, O. (eds.) DSMP 2020. CCIS, vol. 1158, pp. 323–333. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-61656-4_21

    Chapter  Google Scholar 

  21. Höfener, H., Homeyer, A., Weiss, N., Molin, J., Lundström, C.F., Hahn, H.K.: Deep learning nuclei detection: a simple approach can deliver state-of-the-art results. Comput. Med. Imaging Graph. 70, 43–52 (2018). https://doi.org/10.1016/j.compmedimag.2018.08.010

    Article  Google Scholar 

  22. Hordiiuk, D., Oliinyk, I., Hnatushenko, V., Maksymov, K.: Semantic segmentation for ships detection from satellite imagery. In: 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO), pp. 454–457 (2019). https://doi.org/10.1109/ELNANO.2019.8783822

  23. Hordiiuk, D., Hnatushenko, V.: Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection. In: 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF), pp. 363–366 (2017). https://doi.org/10.1109/YSF.2017.8126648

  24. Huang, J., Shang, Y., Chen, H.: Improved Viola-Jones face detection algorithm based on HoloLens. EURASIP J. Image Video Process. 2019(1), 1–11 (2019). https://doi.org/10.1186/s13640-019-0435-6

    Article  Google Scholar 

  25. Navneet, D., Bill, T.: Histograms of oriented gradients for human detection. In: INRIA Rho\(\hat{\,\,}\)ne-Alps, 655 avenue de l’Europe, Montbonnot 38334, France (2005)

    Google Scholar 

  26. Nguyen, D.T., Hong, H.G., Kim, K.W., Park, K.R.: Person recognition system based on a combination of body images from visible light and thermal cameras. Sensors 17(3), 605 (2017). https://doi.org/10.3390/s17030605

    Article  Google Scholar 

  27. Nixon, M., Aguado, A.: Feature Extraction and Image Processing for Computer Vision. 4th Ed., vol. 627, Academic Press (2020)

    Google Scholar 

  28. Shuiwang, J., Xu, W., Yang, M., Kai, Y.: 3d convolutional neural networks for human action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 221–231 (2013). https://doi.org/10.1109/TPAMI.2012.59

    Article  Google Scholar 

  29. Vasilyeva, T., Lyeonov, S.: Covid-19, SARS, H5N1, A/H1N1, EVD: porivnialnyi analiz vplyvu pandemii na ekonomichnyi ta sotsialnyi rozvytok u natsionalnomu, svitovomu ta rehionalnomu kontekstakh. Naukovyi pohliad: ekonomika ta upravlinnia, 3(69) (2020). https://doi.org/10.32836/2521-666X/2020-69-4

  30. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, vol. 1, pp. I–I (2001). https://doi.org/10.1109/CVPR.2001.990517

Download references

Author information

Authors and Affiliations

  1. Dnipro University of Technology, Dnipro, Ukraine

    Natalya Sokolova, Yuliia Zhuravlova, Oleksandr Mushtat & Yevhen Obydennyi

Authors
  1. Natalya Sokolova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuliia Zhuravlova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Oleksandr Mushtat
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yevhen Obydennyi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Natalya Sokolova .

Editor information

Editors and Affiliations

  1. Jan Evangelista Purkyně University in Ústi nad Labem, Ústi nad Labem, Czech Republic

    Sergii Babichev

  2. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sokolova, N., Zhuravlova, Y., Mushtat, O., Obydennyi, Y. (2023). Real-Time Information Technology Human Detection Using Cloud Services. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_36

Download citation

Publish with us

Policies and ethics

Search

Navigation