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CHANGING KAZAKHSTAN SOCIETY USING SMART TECHNOLOGIES

Abstract

The duty of a citizen, as you know, is considered to serve in the army, but it does not end only with it. A citizen is obliged to report violations of the law and to adhere to the rules and laws of the country. We are talking about the broad responsibilities of the citizen, which form the society, civil society. Kazakhstan as a developing country requires the improvement of civil society, increasing the responsibility of each citizen to raise the importance of the laws of the country. To do this, there are many tools and institutions that require large investments, and they have many flaws. The application can also help spend fewer resources and to modernize civil society effectively. Compared to traditional applications with simple algorithms, a machine learning application has more advantages, it helps to recognize the violation of the law without an intermediary such as human and is more effective in data processing and further analysis. In this article, we presented a new approach to the education of citizens with minimal expenditure of resources of the country, effective encouragement of users of the program “PhotoFact” and punishment of violators of the laws. The application “PhotoFact” registers several types of violation of the rules of Parking SDA RK, and only the smartphone of the user who downloaded this application is needed. An important role is played by the network of users of this application and their civil liability. The model “Faster R-CNN Inception v 2” is used for recognition of transport, road signs, transport number, location features. This model facilitates the recognition of objects due to the large database and the speed of recognition.

About the Authors

S. B. Mukhanov
International IT University
Kazakhstan


S. A. Tursunov
International IT University
Kazakhstan


N. E. Izteleuov
International IT University
Kazakhstan


A. Tazabekov
International IT University
Kazakhstan


References

1. “Connected Consumer Survey 2016: Belarus and Kazakhstan” TNS Infratest (Google Inc.) 2016

2. Zhabaeva, Sholpan “RK Budget Revenues From Paying Advertisements Increase” Informburo. kz, June 16, 2017

3. “Cameras Visibly Reduced the Number of Offenses” Khabar 24, 19 January 2019 News Portal

4. “The project “Sergek” allowed to reduce the crime rate in the capital”Akimat of Nur-Sultan, April 5, 2019

5. Tukusheva, Aigerim “Nearly a Billion Tenge Decline in Sergek Project in Astana” Informburo. kz, July 5, 2018

6. Malyh, Valentine “Application of Convolutional Neural Networks for NLP Tasks” Open Data Science Company / Habr, Habr, 10 Oct. 2018

7. Jorge E. Espinosa, Sergio A. Velastin, John W. Branch “Motorcycle detection and classification in urban Scenarios using a model based on Faster R-CNN” IET Digital Library, 22-24 May 2018

8. “The Swedish Speed Camera Lottery And Healthy Living” The Medical Futurist, 6 July 2018


Review

For citations:


Mukhanov S.B., Tursunov S.A., Izteleuov N.E., Tazabekov A. CHANGING KAZAKHSTAN SOCIETY USING SMART TECHNOLOGIES. Herald of the Kazakh-British technical university. 2019;16(3):510-517.

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ISSN 1998-6688 (Print)
ISSN 2959-8109 (Online)