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Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
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Xiaonan Wang, Yang Guo and Yuan Gao
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned autonomous intelligent systems (UAISs), as a physical form of artificial intel...
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Dana Utebayeva, Lyazzat Ilipbayeva and Eric T. Matson
The detection and classification of engine-based moving objects in restricted scenes from acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems and audio-based surveillance systems. Recurrent Neural Networks (RNNs) provi...
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Athanasios Koulianos and Antonios Litke
Today, intelligent drone technology is rapidly expanding, particularly in the defense industry. A swarm of drones can communicate, share data, and make the best decisions on their own. Drone swarms can swiftly and effectively carry out missions like surv...
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Jacobo González-Cepeda, Álvaro Ramajo and José María Armingol
Security cameras have been proven to be particularly useful in preventing and combating crime through identification tasks. Here, two areas can be mainly distinguished: person and vehicle identification. Automatic license plate readers are the most widel...
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E.E. Istratova,A.O. Amelchenko
Pág. 38 - 48
The article presents the results of the development of software for managing the building security system. During the study, an analysis of existing systems was carried out, an own algorithm for processing video streams was developed, tools were selected...
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Shijing Han, Xiaorui Dong, Xiangyang Hao and Shufeng Miao
Surveillance systems focus on the image itself, mainly from the perspective of computer vision, which lacks integration with geographic information. It is difficult to obtain the location, size, and other spatial information of moving objects from survei...
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Niranjan Ravi and Mohamed El-Sharkawy
Artificial intelligence (A.I.) has revolutionised a wide range of human activities, including the accelerated development of autonomous vehicles. Self-navigating delivery robots are recent trends in A.I. applications such as multitarget object detection,...
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E.E. Istratova,E.A. Bukhamer,I.N. Tomilov
Pág. 54 - 60
The article presents the results of the development of a motion detection method taking into account the filtering of noise in the frame. Based on the analysis of literature sources, a combined approach to motion detection based on classical and heuristi...
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Zhongchang Ye, Xin Ye and Zhonghua Zhao
Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system extracti...
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