Skip to main content
SpringerLink
Log in

Development of a Human Identification Software System in Real Time

  • Conference paper
  • First Online:
Intelligent Systems and Applications (IntelliSys 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 295))

Included in the following conference series:

  • 934 Accesses

Abstract

The article is devoted to the recognition and identification of a person in real time from a video stream. The methodology for creating a software system and the results of its testing are described. To build a software system for real-time face recognition, various Open Face modules and tools of the Open CV library were used. The HOG method was used to detect a human face. Using the image coding method, 128 face measurements were obtained. A convolutional neural network is used to identify human faces using the SVM linear classifier algorithm.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. http://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf

  2. Extract HOG Features. https://www.mathworks.com/help/vision/ref/extracthogfeatures.html

  3. Yang, M., Ahuja, N., Kriegman, D.: Face recognition using kernel eigenfaces. In: Image Processing. IEEE Transactions, vol. 1, pp. 37–40 (2000)

    Google Scholar 

  4. Kazemi, V., Josephine, S.: One millisecond face alignment with an ensemble of regression trees. In: CVPR (2014). http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf

  5. Facial recognition. https://ai.nal.vn/facial-recognition/

  6. Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: Proceedings of CVPR (2015). https://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_089.pdf

  7. Rudraraju, N., Rajitha, K., Shirisha, K.: Constructing networked, intelligent and adaptable buildings using edge computing. http://ijrar.com/upload_issue/ijrar_issue_20542753.pdf

  8. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection: In: Proceedings of the IEEE Conference Computer Vision and Pattern Recognition, pp. 886–893 (2005)

    Google Scholar 

  9. Bishop, C.M.: Pattern Recognition and Machine Learning. https://goo.gl/WLqpHN

  10. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. https://arxiv.org/abs/1512.03385

  11. Face recognition. https://github.com/ageitgey/face_recognition

  12. Howse, J.: OpenCV Computer Vision with Python. Packt Publishing Ltd., UK (2013)

    Google Scholar 

  13. Ullah Khan, R., Zhang, X., Kumar, R.: Analysis of ResNet and GoogleNet models for malware detection. https://www.researchgate.net/publication/327271897_Analysis_of_ResNet_and_GoogleNet_models_for_malware_detection

  14. Boranbayev, A., Boranbayev, S., Nurusheva, A., Yersakhanov, K.: Development of a software system to ensure the reliability and fault tolerance in information systems. J. Eng. Appl. Sci. 13(23), 10080–10085 (2018)

    Google Scholar 

  15. Boranbayev, S., Goranin, N., Nurusheva, A.: The methods and technologies of reliability and security of information systems and information and communication infrastructures. J. Theor. Appl. Inf. Technol. 96(18), 6172–6188 (2018)

    Google Scholar 

  16. Boranbayev, A., Boranbayev, S., Nurusheva, A.: Development of a software system to ensure the reliability and fault tolerance in information systems based on expert estimates. Adv. Intell. Syst. Comput. 869, 924–935 (2018)

    Google Scholar 

  17. Boranbayev, A., Boranbayev, S., Yersakhanov, K., Nurusheva, A., Taberkhan, R.: Methods of ensuring the reliability and fault tolerance of information systems. In: Latifi, S. (ed.) Information Technology – New Generations. AISC, vol. 738, pp. 729–730. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77028-4_93

    Chapter  Google Scholar 

  18. Boranbayev, S., Altayev, S., Boranbayev, A.: Applying the method of diverse redundancy in cloud based systems for increasing reliability. In: The 12th International Conference on Information Technology: New Generations (ITNG 2015). April 13–15, 2015, Las Vegas, Nevada, USA, pp. 796–799 (2015)

    Google Scholar 

  19. Turskis, Z., Goranin, N., Nurusheva, A., Boranbayev, S.: A fuzzy WASPAS-based approach to determine critical information infrastructures of EU sustainable development. Sustainability (Switzerland) 11(2), 424 (2019)

    Google Scholar 

  20. Turskis, Z., Goranin, N., Nurusheva, A., Boranbayev, S.: Information security risk assessment in critical infrastructure: a hybrid MCDM approach. Informatica (Netherlands) 30(1), 187–211 (2019)

    Google Scholar 

  21. Boranbayev, A.S., Boranbayev, S.N., Nurusheva, A.M., Yersakhanov, K.B., Seitkulov, Y.N.: Development of web application for detection and mitigation of risks of information and automated systems. Eurasian J. Math. Comput. Appl. 7(1), 4–22 (2019)

    Google Scholar 

  22. Boranbayev, A.S., Boranbayev, S.N., Nurusheva, A.M., Seitkulov, Y.N., Sissenov, N.M.: A method to determine the level of the information system fault-tolerance. Eurasian J. Math. Comput. Appl. 7(3), 13–32 (2019)

    Google Scholar 

  23. Boranbayev, A., Boranbayev, S., Nurbekov, A., Taberkhan, R.: The development of a software system for solving the problem of data classification and data processing. In: 16th International Conference on Information Technology - New Generations (ITNG 2019), vol. 800, pp. 621–623 (2019)

    Google Scholar 

  24. Boranbayev, A., Boranbayev, S., Nurusheva, A., Yersakhanov, K., Seitkulov, Y.: A software system for risk management of information systems. In: Proceedings of the 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT 2018), 17–19 October, Almaty, Kazakhstan, pp. 284–289 (2018)

    Google Scholar 

  25. Boranbayev, S., Boranbayev, A., Altayev, S., Nurbekov, A.: Mathematical model for optimal designing of reliable information systems. In: Proceedings of the 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT 2014), Astana, Kazakhstan, October 15–17, pp. 123–127 (2014)

    Google Scholar 

  26. Boranbayev, S., Altayev, S., Boranbayev, A., Seitkulov, Y.: Application of diversity method for reliability of cloud computing. In: Proceedings of the 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT 2014), Astana, Kazakhstan, October 15–17, pp.244–248 (2014)

    Google Scholar 

  27. Boranbayev, A., Boranbayev, S., Nurusheva, A.: Analyzing methods of recognition, classification and development of a software system. Adv. Intell. Syst. Comput. 869, 690–702 (2018)

    Google Scholar 

  28. Boranbayev, A.S., Boranbayev, S.N.: Development and optimization of information systems for health insurance billing. In: ITNG 2010 - 7th International Conference on Information Technology: New Generations, pp. 1282–1284 (2010)

    Google Scholar 

  29. Akhmetova, Z., Zhuzbayev, S., Boranbayev, S., Sarsenov, B.: Development of the system with component for the numerical calculation and visualization of non-stationary waves propagation in solids. Front. Artif. Intell. Appl. 293, 353–359 (2016)

    Google Scholar 

  30. Boranbayev, S.N., Nurbekov, A.B.: Development of the methods and technologies for the information system designing and implementation. J. Theor. Appl. Inf. Technol. 82(2), 212–220 (2015)

    Google Scholar 

  31. Boranbayev, A., Shuitenov, G., Boranbayev, S.: The method of data analysis from social networks using apache hadoop. In: Latifi, S. (ed.) Information Technology – New Generations. AISC, vol. 558, pp. 281–288. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-54978-1_39

    Chapter  Google Scholar 

  32. Boranbayev, S., Nurkas, A., Tulebayev, Y., Tashtai, B.: Method of processing big data. In: Latifi, S. (ed.) Information Technology – New Generations. AISC, vol. 738, pp. 757–758. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77028-4_99

    Chapter  Google Scholar 

  33. Boranbayev, A., Boranbayev, S., Nurbekov, A.: Estimation of the degree of reliability and safety of software systems. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FICC 2020. AISC, vol. 1129, pp. 743–755. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39445-5_54

    Chapter  Google Scholar 

  34. Boranbayev, A., Boranbayev, S., Nurbekov, A.: Development of the technique for the identification, assessment and neutralization of risks in information systems. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FICC 2020. AISC, vol. 1129, pp. 733–742. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39445-5_53

    Chapter  Google Scholar 

  35. Boranbayev, A., Boranbayev, S., Nurusheva, A., Seitkulov, Y., Nurbekov, A.: Multi criteria method for determining the failure resistance of information system components. In: Arai, K., Bhatia, R., Kapoor, S. (eds.) FTC 2019. AISC, vol. 1070, pp. 324–337. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-32523-7_22

    Chapter  Google Scholar 

  36. Boranbayev, A., Boranbayev, S., Nurbekov, A., Taberkhan, R.: The software system for solving the problem of recognition and classification. In: Arai, K., Bhatia, R., Kapoor, S. (eds.) CompCom 2019. AISC, vol. 997, pp. 1063–1074. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22871-2_76

    Chapter  Google Scholar 

  37. Akhmetova, Z., Boranbayev, S., Zhuzbayev, S.: The visual representation of numerical solution for a non-stationary deformation in a solid body. Adv. Intell. Syst. Comput. 448, 473–482 (2016)

    Google Scholar 

  38. Boranbayev, A., Boranbayev, S., Nurbekov, A.: Evaluating and applying risk remission strategy approaches to prevent prospective failures in information systems. In: Latifi, S. (ed.) 17th International Conference on Information Technology–New Generations (ITNG 2020). AISC, vol. 1134, pp. 647–651. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43020-7_87

    Chapter  Google Scholar 

  39. Boranbayev, A., Boranbayev, S., Nurbekov, A.: A proposed software developed for identifying and reducing risks at early stages of implementation to improve the dependability of information systems. In: Latifi, S. (ed.) 17th International Conference on Information Technology–New Generations (ITNG 2020). AISC, vol. 1134, pp. 163–168. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43020-7_22

    Chapter  Google Scholar 

  40. Boranbayev, A., Boranbayev, S., Nurbekov, A.: Java based application development for facial identification using OpenCV library. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2020. AISC, vol. 1251, pp. 77–85. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-55187-2_8

    Chapter  Google Scholar 

  41. Boranbayev, A., Boranbayev, S., Nurbekov, A.: Measures to ensure the reliability of the functioning of information systems in respect to state and critically important information systems. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2020. AISC, vol. 1252, pp. 139–152. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-55190-2_11

    Chapter  Google Scholar 

  42. Boranbayev, A., Boranbayev, S., Nurbekov, A.: Development of a hardware-software system for the assembled helicopter-type UAV prototype by applying optimal classification and pattern recognition methods. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) SAI 2020. AISC, vol. 1229, pp. 380–394. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-52246-9_28

    Chapter  Google Scholar 

  43. Boranbayev, A., Shuitenov, G., Boranbayev, S.: The method of analysis of data from social networks using Rapidminer. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) SAI 2020. AISC, vol. 1229, pp. 667–673. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-52246-9_49

    Chapter  Google Scholar 

  44. Boranbayev, A., Boranbayev, S., Yatsenko, Y., Tulebayev, Y.: Methods and software for simulation of optimal renewal of capital assets. J. Theor. Appl. Inf. Technol. (JATIT) 98(21), 3545–3558 (2020)

    Google Scholar 

  45. Boranbayev, A., Boranbayev, S., Nurusheva, A., Yersakhanov, K.: The modern state and the further development prospects of information security in the republic of Kazakhstan. In: Latifi, S. (ed.) Information Technology – New Generations. AISC, vol. 738, pp. 33–38. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77028-4_6

    Chapter  Google Scholar 

  46. Akhmetova, Z., Zhuzbaev, S., Boranbayev, S.: The method and software for the solution of dynamic waves propagation problem in elastic medium. Acta Phys. Pol. A 130(1), 352–354 (2016)

    Article  Google Scholar 

  47. Hritonenko, N., Yatsenko, Y., Boranbayev, S.: Environmentally sustainable industrial modernization and resource consumption: Is the Hotelling’s rule too steep? Appl. Math. Model. 39(15), 4365–4377 (2015)

    Article  MathSciNet  Google Scholar 

  48. Yatsenko, Y., Hritonenko, N., Boranbayev, S.: Non-equal-life asset replacement under evolving technology: a multi-cycle approach. Eng. Econ. 65(4), 339–362 (2020)

    Article  Google Scholar 

  49. Boranbayev, S.N., Nurbekov, A.B.: Construction of an optimal mathematical model of functioning of the manufacturing industry of the republic of Kazakhstan. J. Theor. Appl. Inf. Technol. 80(1), 61–74 (2015)

    Google Scholar 

  50. Boranbayev, A., Boranbayev, S., Muratov, T., Nurbekov, A.: Modeling dependence between air transportation and economic development of countries. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FTC 2020. AISC, vol. 1289, pp. 601–613. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-63089-8_39

    Chapter  Google Scholar 

  51. Boranbayev, A., Boranbayev, S., Seitkulov, Y., Nurbekov, A.: Proposing recommendations for improving the reliability and security of information systems in governmental organizations in the republic of Kazakhstan. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FTC 2020. AISC, vol. 1290, pp. 854–868. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-63092-8_57

    Chapter  Google Scholar 

Download references

Acknowledgment

This research has been funded by Nazarbayev University (Social Policy Grant).

Author information

Authors and Affiliations

  1. Nazarbayev University, Nur-Sultan, Kazakhstan

    Askar Boranbayev

  2. L.N.Gumilyov, Eurasian National University, Nur-Sultan, Kazakhstan

    Seilkhan Boranbayev, Mukhamedzhan Amirtaev & Askar Nurbekov

  3. Kostanay Socio-Technical University named after Academician Z. Aldamzhar, Kostanay, Kazakhstan

    Malik Baimukhamedov

Authors
  1. Askar Boranbayev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Seilkhan Boranbayev
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mukhamedzhan Amirtaev
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Malik Baimukhamedov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Askar Nurbekov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Askar Boranbayev .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Boranbayev, A., Boranbayev, S., Amirtaev, M., Baimukhamedov, M., Nurbekov, A. (2022). Development of a Human Identification Software System in Real Time. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-82196-8_56

Download citation

Publish with us

Policies and ethics

Search

Navigation