Automated information system for video surveillance to perform special functions.
Keywords:
FPV-system, video registration, streaming video, algorithm, video camera, Diffie-Hellman algorithm, YOLO algorithm, neural network.
Abstract
A complex algorithm for creating an automated system for recording and displaying information from aircraft and observation in interactive operator control mode was presented. An architecture for encrypted transmission of video streaming from several cameras from an aircraft with in-flight video stabilization and projection of a virtual reality helmet on a 360-degree perspective was proposed.
References
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Gabreith. S. The Diffie-Hellman Problem and Cryptographic Applications. // Key Exchange. – ACM Press, NY: IEEE Transactions on Information Theory, 2005. –P. 470-504.
Protogerellis A. The beginner's guide to FPV; trans. with English. – M.: McGraw-Hill Education TAB, 2016. –177 p.
Marius T. Digital Image Stabilization; trans. with English. – M.: InTech, 2009. - 544 p.
Norman Di Palo. How to add Person Tracking to a Drone using Deep Learning and NanoNets. [Electronic resource] // URL: https://medium.com/nanonets/how-i-built-a-self-flying-drone-to-track-people-in-under-50-lines-of-code-7485de7f828e.
Jonathan Hui. Real-time Object Detection with YOLO, YOLOv2 and now YOLOv3. [Electronic resource] // URL: https://medium.com/@jonathan_hui/real-time-object-detection-with-yolo-yolov2-28b1b93e2088.
Steven D. Galbraith, Florian Hess, Frederik Vercauteren: Aspects of Pairing Inversion. IEEE Trans. Information Theory, 2008. –P. 5719-5728.
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Published
2020-03-27
How to Cite
MorozВ., & ShcherbakovА. (2020). Automated information system for video surveillance to perform special functions. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (34), 69-73. Retrieved from https://cit.lntu.edu.ua/index.php/cit/article/view/109
Section
Automation and Control
