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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">kaz29-336</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МАШИННОЕ ОБУЧЕНИЕ И АНАЛИЗ ДАННЫХ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DATA SCIENCE AND MACHINE LEARNING</subject></subj-group></article-categories><title-group><article-title>ИЗМЕНЕНИЯ В ГРАЖДАНСКОМ ОБЩЕСТВЕ КАЗАХСТАНА ЧЕРЕЗ «УМНЫЕ» ТЕХНОЛОГИИ</article-title><trans-title-group xml:lang="en"><trans-title>CHANGING KAZAKHSTAN SOCIETY USING SMART TECHNOLOGIES</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Муханов</surname><given-names>С. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Mukhanov</surname><given-names>S. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>сеньор-лектор</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Турсунов</surname><given-names>С. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Tursunov</surname><given-names>S. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>студент</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Изтелеуов</surname><given-names>Н. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Izteleuov</surname><given-names>N. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>студент</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тазабеков</surname><given-names>А.</given-names></name><name name-style="western" xml:lang="en"><surname>Tazabekov</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>студент</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Международный университет информационных технологий<country>Казахстан</country></aff><aff xml:lang="en">International IT University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>19</day><month>11</month><year>2021</year></pub-date><volume>16</volume><issue>3</issue><fpage>510</fpage><lpage>517</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Муханов С.Б., Турсунов С.А., Изтелеуов Н.Е., Тазабеков А., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Муханов С.Б., Турсунов С.А., Изтелеуов Н.Е., Тазабеков А.</copyright-holder><copyright-holder xml:lang="en">Mukhanov S.B., Tursunov S.A., Izteleuov N.E., Tazabekov A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.kbtu.edu.kz/jour/article/view/336">https://vestnik.kbtu.edu.kz/jour/article/view/336</self-uri><abstract><p>Обязанностью гражданина, как ведомо, считается служение в армии, но все на этом не заканчивается. Гражданин обязан сообщать о нарушениях закона и сам придерживаться правил и законов страны. Речь идет о широких обязанностях гражданина, которые и формируют социум, гражданское общество. Казахстан как развивающаяся страна требует улучшения гражданского общества, повышение ответственности каждого гражданина для поднятия значимости законов страны. Для этого существуют много инструментов и институтов, требующих больших вложений, а также имеется много изъянов. Приложение же может помочь обойтись меньшими ресурсами и более эффективно модернизировать гражданское общество. По сравнению с традиционными приложениями с простыми алгоритмами, приложение с машинным обучением имеет больше преимуществ, поскольку помогает распознавать нарушение закона без посредника в виде человека и более эффективен в обработке данных и дальнейшего анализа. В этой статье мы представили новый подход в воспитании граждан с минимальными тратами ресурсов страны, эффективным поощрением пользователей программы “PhotoFact” и наказанием нарушителей законов. Приложение “PhotoFact”регистрирует несколько типов нарушений правил парковки ПДД РК, при этом нужен лишь смартфон пользователя, скачавшего данное приложение. Немаловажную роль при этом играет сеть пользователей данного приложения и их гражданская ответственность. Мы не изобретаем снова велосипед и не придумываем что-то, чего раньше не существовало, наоборот применяем существующие модели и системы ранее неиспользованных именно так, как представляем в Казахстане. Для распознавания транспорта, дорожных знаков, номера транспорта, особенностей локации используется модель “Faster R-CNN Inception v 2”. Данная модель упрощает распознавание объектов благодаря широкой базе данных и скорости распознавания. Далее подробно описысваются все инструменты, использованные в данном приложении и результаты их тестирования.</p></abstract><trans-abstract xml:lang="en"><p>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.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>CNN - convolutional neural network (сверточные нейронные сети)</kwd><kwd>R-CNN - regionswith CNN (сверточные нейронные сети</kwd><kwd>основанные на отдельных регионах)</kwd><kwd>Faster R-CNN (ускоренная модель R-CNN)</kwd></kwd-group><kwd-group xml:lang="en"><kwd>CNN - Convolutional Neural Network (convolutional neural networks)</kwd><kwd>R-CNN - Regions with CNN (convolutional neural networks based on individual regions)</kwd><kwd>Faster R-CNN (accelerated R-CNN model)</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">“Connected Consumer Survey 2016: Belarus and Kazakhstan” TNS Infratest (Google Inc.) 2016</mixed-citation><mixed-citation xml:lang="en">“Connected Consumer Survey 2016: Belarus and Kazakhstan” TNS Infratest (Google Inc.) 2016</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Zhabaeva, Sholpan “RK Budget Revenues From Paying Advertisements Increase” Informburo. kz, June 16, 2017</mixed-citation><mixed-citation xml:lang="en">Zhabaeva, Sholpan “RK Budget Revenues From Paying Advertisements Increase” Informburo. kz, June 16, 2017</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">“Cameras Visibly Reduced the Number of Offenses” Khabar 24, 19 January 2019 News Portal</mixed-citation><mixed-citation xml:lang="en">“Cameras Visibly Reduced the Number of Offenses” Khabar 24, 19 January 2019 News Portal</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">“The project “Sergek” allowed to reduce the crime rate in the capital”Akimat of Nur-Sultan, April 5, 2019</mixed-citation><mixed-citation xml:lang="en">“The project “Sergek” allowed to reduce the crime rate in the capital”Akimat of Nur-Sultan, April 5, 2019</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Tukusheva, Aigerim “Nearly a Billion Tenge Decline in Sergek Project in Astana” Informburo. kz, July 5, 2018</mixed-citation><mixed-citation xml:lang="en">Tukusheva, Aigerim “Nearly a Billion Tenge Decline in Sergek Project in Astana” Informburo. kz, July 5, 2018</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Malyh, Valentine “Application of Convolutional Neural Networks for NLP Tasks” Open Data Science Company / Habr, Habr, 10 Oct. 2018</mixed-citation><mixed-citation xml:lang="en">Malyh, Valentine “Application of Convolutional Neural Networks for NLP Tasks” Open Data Science Company / Habr, Habr, 10 Oct. 2018</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Jorge E. 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