{"id":1691,"date":"2021-01-21T22:39:00","date_gmt":"2021-01-21T19:39:00","guid":{"rendered":"https:\/\/zala-aero.com\/?p=1691"},"modified":"2024-02-03T22:42:13","modified_gmt":"2024-02-03T19:42:13","slug":"programmnoe-obespechenie-dlja-raboty-s-big-data-i-primenenie-iskusstvennogo-intellekta","status":"publish","type":"post","link":"https:\/\/zala-aero.com\/en\/news\/programmoe-obespechenie-dlja-raboty-s-big-data-i-primenenie-iskusstvennogo-intellekta\/","title":{"rendered":"Big Data software and artificial intelligence applications"},"content":{"rendered":"

The use of artificial intelligence (AI)-based software enables deeper and more efficient analyses of Big Data generated by drones. ZALA AERO not only develops such solutions, but has been successfully applying them in real-world applications for several years. The proprietary platform has repeatedly proven its effectiveness and helped to qualitatively transform customers' production processes.<\/p>\n\n\n\n

ZALA AERO GROUP is constantly expanding the capabilities of its own digital technologies to meet the growing needs of Customers. In 2020, a huge amount of work was done to update software solutions for information and analytical support of fuel and energy enterprises.<\/p>\n\n\n\n

The main ZALA software products that form a set of technological and technical solutions:
\u2014 a solution for automatic interpretation of aerial photography results;
\u2014 an application for detecting changes in the terrain;
\u2014 a global monitoring system that combines the functions of processing, storing and transmitting data.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

The processing speed of aerial photography materials has increased by 20 times. The software makes it possible to analyse photos, search for and classify several dozen types of anomalies and prepare reports on detected deviations immediately after the flight. For aerial patrols of long objects, such as pipelines, there is a possibility to define the boundaries of the protection zone and the zone of minimum distances, which significantly increases the efficiency of detecting violations in the area of interest.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Implementation of change search software allowed to obtain complete information about the state of the earth surface in different periods of time. The use of a combination of various computer vision and machine learning algorithms made it possible to significantly reduce the processing speed and improve the accuracy of identifying objects of different classes.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

The use of global monitoring system in technological processes of the enterprise allows increasing the speed of management decision making, improving interaction between production units, as well as organising work with the Contractor. The programme provides access to information at all stages of air patrolling: viewing of online broadcasting, viewing of automatic decoding results, orthophotos, photo and video materials, viewing of detected changes. The customer gets prompt access to all materials of monitoring of its infrastructure for timely taking measures to eliminate detected violations.<\/p>\n\n\n\n

The high technological level in accordance with the standards of oil and gas companies has not been achieved without the help of hardware crypto-protection systems. The data is transmitted in encrypted form, thus ensuring confidentiality and security of information.<\/p>","protected":false},"excerpt":{"rendered":"

\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u041f\u041e \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 (\u0418\u0418) \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u0433\u043b\u0443\u0431\u043e\u043a\u0438\u0439 \u0438 \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 (Big Data), \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u043c\u044b\u0445 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0431\u0435\u0441\u043f\u0438\u043b\u043e\u0442\u043d\u0438\u043a\u043e\u0432. 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ZALA […]<\/p>\n","protected":false},"author":11,"featured_media":1692,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1691","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\n\u041f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0435 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u0435 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 Big Data \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430<\/title>\n<meta name=\"description\" content=\"\u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a \u0438 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