CSIT - 2023 рік
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Перегляд CSIT - 2023 рік за Ключові слова "004.89: 004.3"
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Документ Approaches of building a real-world object detector data source(Хмельницький національний університет, 2023) Pavlova, O.; Bashta, A.; Kuzmin, A.In our constantly developing world virtual, augmented, and mixed reality technologies are becoming integral parts of our daily lives. In the current stage of Information Technology field development, technologies of virtual, augmented and mixed reality can be seen in almost all areas of human life. Nowadays AR is used in Marketing and Advertising, Education, Medicine, Automotive, Game Development, Navigation and other areas of our everyday life. Therefore, object detection is a crucial task in computer vision and AI applications, enabling machines to identify and locate objects within images or video frames. The accuracy and performance of an object detector heavily rely on the quality and diversity of the training data. This paper is aimed at finding the approaches of building a real-world object detector data source to be able to create a model for detecting a sport games surfaces using the Action & Vision App. During this research several structured approaches of building an object detector data source have been built, drawing inspiration from Apple's Create ML documentation on the topic. Additionally, real-world applications available on both the App Store and Google Play that leverage object detection technology were showcased and analyzed. In the course of study a dataset of objects has been collected and then utilized to build a robust detection model, tailored to function seamlessly with Vision and Core ML frameworks on iOS devices. The trained object detection model, informed by the diverse dataset and robust training process, is employed to identify and outline tables and rectangles in each frame of the video stream. The model and the proposed approaches will be further applied to develop the method of object detection in the real world and create a mobile application for sport games simulation, that would help players to practice their skills out of the training field.Документ Augmented reality based information technology for objects 3D models visualization(Хмельницький національний університет, 2023) Pavlova, O.; Bashta, A.; Kovtoniuk, M.; Павлова, О.; Башта, А.; Ковтонюк, М.At the current stage of IT industry development, augmented reality is of interest both from the side of science and from the business side, since it is an advanced and newest tool for introducing a new immersive user experience. Today there are plenty ready-to-use applications that use AR for business, educational, medical and other purposes. Augmented Reality is currently one of the most popular upcoming technologies most commonly known for its use within games and advertising. By combining threedimensional modelling with augmented reality, it could be possible to obtain new user friendly applications for the representing 3D models of objects in real time and in real size. The topic of research in the field of augmented reality is currently relevant both for science and for the business industry. The paper proposes a multifunctional information system for three-dimensional models visualization in augmented reality, which is implemented in the form of a cross-platform mobile application. The proposed information system uses a device camera as a mean of object visualization and provides quick reproduction of the selected from the application`s database model in augmented reality in real size and in real time. The developed application works quite well, has a user friendly and intuitive interface and allows user to add own models, that makes this tool multipurpose.Test 3D models have been created for conducting experiments for verification the proposed information system operation. The further efforts of the authors will be directed to improving the existing algorithms for extending the current functionality of the proposed tool for 3D objects models visualization in augmented reality and application of the developed tool for real-life needs, such as digitization and visualization of museum exhibits and archaeological artifacts of Khmelnytskyi regionДокумент Augmented reality based information technology for objects 3D models visualization(Хмельницький національний університет, 2023) Pavlova, O. ,; Bashta, A.; Kovtoniuk, M.; Павлова, О.; Башта, А.; Ковтонюк, М.At the current stage of IT industry development, augmented reality is of interest both from the side of science and from the business side, since it is an advanced and newest tool for introducing a new immersive user experience. Today there are plenty ready-to-use applications that use AR for business, educational, medical and other purposes. Augmented Reality is currently one of the most popular upcoming technologies most commonly known for its use within games and advertising. By combining threedimensional modelling with augmented reality, it could be possible to obtain new user friendly applications for the representing 3D models of objects in real time and in real size. The topic of research in the field of augmented reality is currently relevant both for science and for the business industry. The paper proposes a multifunctional information system for three-dimensional models visualization in augmented reality, which is implemented in the form of a cross-platform mobile application. The proposed information system uses a device camera as a mean of object visualization and provides quick reproduction of the selected from the application`s database model in augmented reality in real size and in real time. The developed application works quite well, has a user friendly and intuitive interface and allows user to add own models, that makes this tool multipurpose.Test 3D models have been created for conducting experiments for verification the proposed information system operation. The further efforts of the authors will be directed to improving the existing algorithms for extending the current functionality of the proposed tool for 3D objects models visualization in augmented reality and application of the developed tool for real-life needs, such as digitization and visualization of museum exhibits and archaeological artifacts of Khmelnytskyi regionДокумент Automated system for determining speed of cars ahead(Хмельницький національний університет, 2023) Pavlova, O.; Bilinska, A.; Holovatiuk, A.; Binkovskyi, Y.; Melnychuk, D.Road accidents and speeding violations are pervasive issues that pose substantial threats to road users on a daily basis. In an ongoing effort to improve road safety and reduce the frequency of accidents, researchers and engineers have been dedicated to the development and implementation of new technologies. One such significant innovation is the utilization of speed control systems based on traffic cameras. This paper delves into a thorough exploration of the pivotal role and significance of speed control systems on our roadways. It investigates the operational principles, advantages, and various strategies employed to enhance the efficiency of these systems, with the ultimate goal of achieving optimal results in speed control and ensuring road safety. Speeding remains a widespread concern that significantly contributes to road accidents. Such incidents lead to injuries, fatalities, and extensive property damage, underscoring the urgent need for effective speed control measures. Among the arsenal of solutions available, speed control systems utilizing traffic cameras have emerged as a prominent and promising approach. These systems function by monitoring and recording the speed of vehicles at specific locations, which is later used to enforce speed limits and penalize offenders. The advantages of speed control systems based on traffic cameras are multifaceted. They offer an objective and reliable method for detecting and documenting speeding violations, eliminating the need for law enforcement personnel to be present at all times. This aspect not only frees up law enforcement resources but also ensures consistent and unbiased enforcement of speed limits. Additionally, the data collected by these systems can serve as a valuable resource for traffic management, accident analysis, and road safety research