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Littérature scientifique sur le sujet « Intelligent surveillance system »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 27 juillet 2025

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Articles de revues sur le sujet "Intelligent surveillance system"

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Asim, Abdullah, and Hammad Javed. "INTELLIGENT SURVEILLANCE SYSTEM." International Journal of Engineering Applied Sciences and Technology 09, no. 05 (2024): 21–30. http://dx.doi.org/10.33564/ijeast.2024.v09i05.003.

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Watchful surveillance is one of the crucial aspects when it comes to ensuring security in any surroundings. Be it a shopping mall, a densely populated residential area or even busy roads vigilant surveillance is inevitable to ensure security and safety of citizens. This work focuses on the design and development of an Intelligent Surveillance System. It aims to enhance the security measures by identifying abnormal behavior like fight and fire in real-time scenarios. The proposed framework for fight detection includes 3 major functionalities/ components. i.e., preprocessing, Feature extraction

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Praveen, Dabbara. "Intelligent Video Surveillance System." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (2021): 741–43. http://dx.doi.org/10.22214/ijraset.2021.37399.

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Intelligent video recognition with in-depth learning concept will create a self-paced video analytics program. CCTV cameras are used in all areas where safety is paramount. Manual monitoring seems tedious and time-consuming. Security can be defined by different words in different contexts such as identity theft, violence, explosions etc. Security monitoring is a tedious and time-consuming task. In this project we will analyse video feeds in real time and identify any unusual items such as violence or theft. The concept of in-depth learning simulates the functioning of the human brain in proces

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A M, Darshan. "Intelligent Video Surveillance System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31409.

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Intelligent Video Surveillance Systems (IVSS) have emerged as critical tools for ensuring safety and security in various environments. This paper presents an IVSS capable of real-time detection and analysis of critical events, including falls and vehicle crashes. The proposed system employs state-of-the-art deep learning techniques, specifically the YOLO (You Only Look Once) object detection algorithm, to analyze video streams obtained from diverse sources such as surveil- lance cameras and recorded videos. For fall detection, the system utilizes the aspect ratio of detected persons’ bounding

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Bajpai ,, Suyash. "Intelligence Surveillance System Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31165.

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The improvement of vision-based artificial intelligence, the rise of the Internet of Things connected cameras, and the increasing common need for rapid security, the demand for exact real-time intelligent surveillance has never been higher. For a human it is very difficult to monitor surveillance videos continually, so a smart and intelligent system is essential that can do real time monitoring of all activities and can categories between usual and some unusual activities. This paper aims to transform the surveillance landscape, to bring more effective, intelligent, and equitable security to t

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Sanoob, A. H., J. Roselin, and P. Latha. "Smartphone Enabled Intelligent Surveillance System." IEEE Sensors Journal 16, no. 5 (2016): 1361–67. http://dx.doi.org/10.1109/jsen.2015.2501407.

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Liu, Hong Tao. "Design of Low-Cost Airport Boundary Intelligent Video Surveillance System." Applied Mechanics and Materials 443 (October 2013): 228–32. http://dx.doi.org/10.4028/www.scientific.net/amm.443.228.

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The existing Airport boundary intelligent video surveillance system is complicated to construct and costs a lot. This paper presents a design of economical Airport boundary intelligent video surveillance system according to the principle of optimization system and the resources share, combined the motion detection technology of NVR with intelligence video analyze equipment. The design can greatly decrease the false alarm rate and reduced the number of intelligence video analysis equipment. Therefor, it has higher application value and practical significance.

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Rghioui, Amine, Jaime Lloret, Mohamed Harane, and Abdelmajid Oumnad. "A Smart Glucose Monitoring System for Diabetic Patient." Electronics 9, no. 4 (2020): 678. http://dx.doi.org/10.3390/electronics9040678.

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Diabetic patients need ongoing surveillance, but this involves high costs for the government and family. The combined use of information and communication technologies (ICTs), artificial intelligence and smart devices can reduce these costs, helping the diabetic patient. This paper presents an intelligent architecture for the surveillance of diabetic disease that will allow physicians to remotely monitor the health of their patients through sensors integrated into smartphones and smart portable devices. The proposed architecture includes an intelligent algorithm developed to intelligently dete

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Rothkrantz, Leon, Madalina Toma, and Mirela Popa. "AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM." Acta Polytechnica CTU Proceedings 12 (December 15, 2017): 83. http://dx.doi.org/10.14311/app.2017.12.0083.

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In recent years many car manufacturers developed digital co-drivers , which are able to monitor the driving behaviour of a car. Sensors in the car measure if a car passes speed limits, leaves its lane, or violates other traffic rules. A new generation of co-drivers is based on sensors in the car which are able to monitor the driver behaviour. Driving a car is a sequence of actions. In case a driver doesn’t show one of the actions the co-driver generates a warning signal. Experiments in the car simulator TORC were performed to extract the actions of a car driver. These actions were used to deve

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Sasikala, G., and R. S. Lekha. "Intelligent Surveillance System for Smart Security." Indian Journal of Science and Technology 12, no. 29 (2019): 1–9. http://dx.doi.org/10.17485/ijst/2019/v12i29/147083.

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A, Ajay. "Intelligent Habitat Surveillance and Protection System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48814.

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Abstract— As mortal-wildlife commerce grows further frequent, and wildlife territories face adding environmental pressures, covering beast get has come pivotal for conservation sweats and ecological exploration. This paper presents an AI-driven Wildlife behavior Monitoring System using computer vision, deep literacy, and YOLOv8 to descry, classify, and dissect wildlife conditioning in real-time. The proposed system directly identifies species and tracks actions similar to feeding, movement, resting, and social relations across different territories. It provides detailed receptivity through spa

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Thèses sur le sujet "Intelligent surveillance system"

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Zhou, Han, and 周晗. "Intelligent video surveillance in a calibrated multi-camera system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45989217.

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Charvat, Robert C. "Surveillance for Intelligent Emergency Response Robotic Aircraft (SIERRA Project)." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337888115.

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Du, Ruixiang. "An Intelligent Portable Aerial Surveillance System: Modeling and Image Stitching." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/859.

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"Unmanned Aerial Vehicles (UAVs) have been widely used in modern warfare for surveillance, reconnaissance and even attack missions. They can provide valuable battlefield information and accomplish dangerous tasks with minimal risk of loss of lives and personal injuries. However, existing UAV systems are far from perfect to meet all possible situations. One of the most notable situations is the support for individual troops. Besides the incapability to always provide images in desired resolution, currently available systems are either too expensive for large-scale deployment or too heavy and co

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Barake, Bassem. "Towards an intelligent surveillance system for public security at crowded places." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28258.

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Nowadays, safety and security of public areas has become the centre of attention, and especially after 9/11 attack. A visual surveillance for public security is proposed to meet the needs of public areas, such as shopping malls, train stations, airports, etc... Surveillance researchers from the computer vision have focused on building automated systems and have hardly adopted an approach, where human is involved in decision making with the help of computer inputs. Knowing that the fully automated systems have some advantages such as saving human power, and supporting remote monitoring, but in

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Valera, Espina Maria. "An approach for designing a real-time intelligent distributed surveillance system." Thesis, Kingston University, 2006. http://eprints.kingston.ac.uk/20298/.

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The main aim of this PhD is to investigate how a methodology rooted in systems engineering concepts can be established and applied to the design of distributed wide-area visual surveillance systems. Nowadays, the research community in surveillance systems tends to be mostly focused on the computer vision part of these systems, researching and developing more intelligent algorithms. The integration and finally the creation of the system per se, are usually regarded as a secondary priority. We postulate here that until a robust systems-centred, rather than algorithmic-centred approach is used, t

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Siddiqui, Abdul Jabbar. "A Robust Vehicle Make and Model Recognition System for ITS Applications." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33124.

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A real-time Vehicle Make and Model Recognition (VMMR) system is a significant component of security applications in Intelligent Transportation Systems (ITS). A highly accurate and real-time VMMR system significantly reduces the overhead cost of resources otherwise required. In this thesis, we present a VMMR system that provides very high classification rates and is robust to challenges like low illumination, occlusions, partial and non-frontal views. These challenges are encountered in realistic environments and high security areas like parking lots and public spaces (e.g., malls, stadiums, an

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Liu, Junbin. "Distributed low-power image processing in wireless sensor networks for intelligent video surveillance applications." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/63311/1/Junbin_Liu_Thesis.pdf.

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Distributed Wireless Smart Camera (DWSC) network is a special type of Wireless Sensor Network (WSN) that processes captured images in a distributed manner. While image processing on DWSCs sees a great potential for growth, with its applications possessing a vast practical application domain such as security surveillance and health care, it suffers from tremendous constraints. In addition to the limitations of conventional WSNs, image processing on DWSCs requires more computational power, bandwidth and energy that presents significant challenges for large scale deployments. This dissertation ha

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Lorio, Berino. "Towards a non-intrusive traffic surveillance system using digital image processing." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52589.

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Thesis (MScEng)--Stellenbosch University, 2001.<br>ENGLISH ABSTRACT: With the increased focus on the use of innovative and state-of-the-art technology in Intelligent Transport Systems (ITS), the need for more accurate and more detailed road traffic flow data has become apparent. Data obtained from vehicle detector loops, which merely act as vehicle presence sensors, is neither reliable nor accurate enough anymore. This type of sensor poses the problem that it has to be inserted into the road surface; temporarily obstructing traffic flows, and has to be replaced after pavement reconstruct

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Sugianto, Nehemia. "Responsible AI for Automated Analysis of Integrated Video Surveillance in Public Spaces." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/409586.

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Understanding customer experience in real-time can potentially support people’s safety and comfort while in public spaces. Existing techniques, such as surveys and interviews, can only analyse data at specific times. Therefore, organisations that manage public spaces, such as local government or business entities, cannot respond immediately when urgent actions are needed. Manual monitoring through surveillance cameras can enable organisation personnel to observe people. However, fatigue and human distraction during constant observation cannot ensure reliable and timely analysis. Artificial int

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Chen, Jiandan. "An Intelligent Multi Sensor System for a Human Activities Space---Aspects of Quality Measurement and Sensor Arrangement." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00487.

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In our society with its aging population, the design and implementation of a highperformance distributed multi-sensor and information system for autonomous physical services become more and more important. In line with this, this thesis proposes an Intelligent Multi-Sensor System, IMSS, that surveys a human activities space to detect and identify a target for a specific service. The subject of this thesis covers three main aspects related to the set-up of an IMSS: an improved depth measurement and reconstruction method and its related uncertainty, a surveillance and tracking algorithm and fina

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Livres sur le sujet "Intelligent surveillance system"

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Qian, Huihuan, Xinyu Wu, and Yangsheng Xu. Intelligent Surveillance Systems. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1137-2.

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Xinyu, Wu, Xu Yangsheng, and SpringerLink (Online service), eds. Intelligent Surveillance Systems. Springer Science+Business Media B.V., 2011.

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Dufour, Jean-Yves, ed. Intelligent Video Surveillance Systems. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118577851.

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Dufour, Jean-Yves. Intelligent video surveillance systems. ISTE, 2013.

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A, Velastin Sergio, Remagnino Paolo 1963-, and Institution of Electrical Engineers, eds. Intelligent distributed video surveillance systems. Institution of Electrical Engineers, 2006.

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Yunqian, Ma, and Qian G. 1973-, eds. Intelligent video surveillance: Systems and technology. CRC Press, 2010.

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Nilsson, Fredrik. Intelligent network video: Understanding modern video surveillance systems. Taylor & Francis, 2008.

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Nilsson, Fredrik. Intelligent network video: Understanding modern video surveillance systems. Taylor & Francis, 2008.

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Johnson, William M. Eavesdropping, technical surveillance & technical surveillance countermeasures. Business Espionage Controls & Countermeasures Association, 1993.

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Jennings, Kirk E. Design guidelines for a rule-based passive surveillance system. Naval Postgraduate School, 1986.

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Chapitres de livres sur le sujet "Intelligent surveillance system"

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Das, Lipsa, Laxmi Ahuja, Priyansha Tiwari, Vishal Jain, Khushi Dadhich, and Bhuvi Sharma. "Intelligent surveillance system: Review." In Automation and Computation. CRC Press, 2023. http://dx.doi.org/10.1201/9781003333500-50.

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Kalantri, Raj, Umang Thakur, and Paul Peter J. Selvin. "Hawkeye-intelligent surveillance system." In Emerging Trends in Computer Science and Its Application. CRC Press, 2025. https://doi.org/10.1201/9781003606635-33.

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Kukan, S., S. Gokul, S. S. Vishnu Priyan, S. Barathi Kanna, and E. Prabhu. "COVID-19: Smart Shop Surveillance System." In Intelligent Sustainable Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2422-3_55.

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Yadav, Rishika, Anshika Gupta, Vishakha Fulara, Monika Verma, Vikas Yadav, and Ruchira Rawat. "Intelligent Surveillance System Using Deep Learning." In Proceedings of Data Analytics and Management. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6547-2_31.

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Kiran, S. L., and M. Supriya. "Cost Efficient Intelligent Vehicle Surveillance System." In Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63673-3_32.

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Jaiswal, Anshuman, Lavkush Sharma, Akshay Kumar, and Suryansh Chauhan. "Intelligent Surveillance System Using Machine Learning." In Industry 4.0, AI, and Data Science. CRC Press, 2021. http://dx.doi.org/10.1201/9781003097181-8.

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Deshmukh, Abhishek, Kshitij Warang, Yash Pente, and Nilesh Marathe. "Violence Detection Through Surveillance System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8289-9_49.

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Venkatesan, R., P. Dinesh Anton Raja, and A. Balaji Ganesh. "Video Surveillance Based Tracking System." In Advances in Intelligent Systems and Computing. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2126-5_41.

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Maheshwari, Dikshit, Aniket Agarwal, Garvit Bhatia, Anukriti Bansal, and Vikas Bajpai. "Face Recognition-Based Surveillance System." In Advances in Data-Driven Computing and Intelligent Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9518-9_2.

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Murphey, Yi L., Henry Lu, Robert Karlsen, Grant Gerhart, and Thomas Meitzler. "Dyta: An Intelligent System for Dynamic Target Analysis." In Multimedia Video-Based Surveillance Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4327-5_11.

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Actes de conférences sur le sujet "Intelligent surveillance system"

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Aryan, Ansh, Dharya Pratap Singh, and Nitish Kumar. "Intelligent Video Surveillance System." In 2024 International Conference on Expert Clouds and Applications (ICOECA). IEEE, 2024. http://dx.doi.org/10.1109/icoeca62351.2024.00170.

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Singh, Devansh, Aryan Chaturvedi, and Deeban Chakravarthy. "Cipher - Intelligent Surveillance System." In 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST). IEEE, 2024. https://doi.org/10.1109/icrisst59181.2024.10922048.

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Joglekar, Pushkar, Divyanshu Jha, Prathamesh Dhorage, Dhruv Thakkar, and Om Dhumal. "Intelligent Public Surveillance System." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC). IEEE, 2025. https://doi.org/10.1109/isacc65211.2025.10969367.

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Suthahar, P., P. Sharmila, Vijay S, Rathish S, and Gioal A. Sabi. "Intelligent Road Safety System: AI-Based CCTV Surveillance." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11019836.

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Kevin Lemuel Thomas, R., G. Jerome Sanjay, K. R. Raghi, and K. Sudha. "Advanced Surveillance System for Public Safety." In 2024 International Conference on Computing and Intelligent Reality Technologies (ICCIRT). IEEE, 2024. https://doi.org/10.1109/iccirt59484.2024.10922020.

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K, Shashi Raj, Basavaraj S. Sannakashappanavar, Mayur Kumar, Guruprasada S. Hegde, and Megha M. "Intelligent Surveillance and Protection System for Farmlands from Animals." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4). IEEE, 2024. http://dx.doi.org/10.1109/inc460750.2024.10649113.

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Banik, Aritra Dutta, Trisagni Mandal, Anubhab Mukherjee, Sharnabho Chatterjee, and Raja Karmakar. "Patrol: An Intelligent Surveillance System for Mobile-Free Environments." In 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS). IEEE, 2025. https://doi.org/10.1109/comsnets63942.2025.10885738.

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Thankappan, Manesh, Neetha K. Nataraj, Divya K S, Akshaya Jayaraj, Alen Joby, and Abhilash Asokan. "AI-Enabled Robotic Surveillance System for Critical Infrastructure." In 2025 Emerging Technologies for Intelligent Systems (ETIS). IEEE, 2025. https://doi.org/10.1109/etis64005.2025.10960891.

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Banu, Virgil Claudiu, Ilona Madalina Costea, Florin Codrut Nemtanu, and Iulian Badescu. "Intelligent video surveillance system." In 2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2017. http://dx.doi.org/10.1109/siitme.2017.8259891.

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Kim, Byung Joo. "Developing Intelligent Surveillance System." In Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.51.07.

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Rapports d'organisations sur le sujet "Intelligent surveillance system"

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Scarratt, Anne, and Sally Cooke. Surveillance Sampling Programme. Food Standards Agency, 2024. http://dx.doi.org/10.46756/sci.fsa.dgj755.

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Scarrett, Anne, and Sally Cooke. Surveillance Sampling Programme. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.svi390.

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This project aimed to carry out targeted surveillance sampling of retail food products for the Food Standards Agency (FSA) in order to help identify emerging food safety risks and increase the FSA’s intelligence and insight of the UK food system.

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Rhody, Harvey, David Sher, and James Modestino. Intelligent Signal Processing Techniques for Multi-Sensor Surveillance Systems. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada218890.

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Shi, Leyuan. An Optimization Framework for Intelligence, Surveillance, and Reconnaissance Systems. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada473334.

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Acharya, Ashwin, Max Langenkamp, and James Dunham. Trends in AI Research for the Visual Surveillance of Populations. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20200097.

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Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.

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Scarrett, Anne, and Sally Cooke. Retail Surveillance Sampling Programme during Covid-19 pandemic. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.zkj588.

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This project was commissioned to carry out targeted surveillance sampling on food products across Food Standards Agency (FSA) competent areas in order to help to identify emerging food safety risks and increase the FSA’s intelligence on the food system during the Covid-19 pandemic.

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McRae, Stuart J. Overhauling the Airborne Intelligence, Surveillance, and Reconnaissance Systems Procurement Process. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada543175.

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Chernavskikh, Vladislav. Nuclear Weapons and Artificial Intelligence: Technological Promises and Practical Realities. Stockholm International Peace Research Institute, 2024. http://dx.doi.org/10.55163/vbqx6088.

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Recent advances in the capabilities of artificial intelligence (AI) have increased state interest in leveraging AI for military purposes. Military integration of advanced AI by nuclear-armed states has the potential to have an impact on elements of their nuclear deterrence architecture such as missile early-warning systems, intelligence, surveillance and reconnaissance (ISR) and nuclear command, control and communications (NC3), as well as related conventional systems. At the same time, a number of technological and logistical factors can potentially limit or slow the adoption of AI in the nuc

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Raju, Nivedita, and Tytti Erästö. The Role of Space Systems in Nuclear Deterrence. Stockholm International Peace Research Institute, 2023. http://dx.doi.org/10.55163/nwlc4997.

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This paper is the first of two exploring nuclear escalation risks in connection with the space domain, with a focus on China, Russia and the United States. Space systems are used for multiple civilian and military purposes, including missions related to nuclear deterrence. Consequently, real and perceived military operations targeting space systems may create pathways to nuclear escalation. China, Russia and the USA possess both nuclear weapons and counterspace capabilities and are at risk of being drawn into war with each other through regional conflicts and great power competition. These sta

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Murray, Chris, Keith Williams, Norrie Millar, Monty Nero, Amy O'Brien, and Damon Herd. A New Palingenesis. University of Dundee, 2022. http://dx.doi.org/10.20933/100001273.

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Robert Duncan Milne (1844-99), from Cupar, Fife, was a pioneering author of science fiction stories, most of which appeared in San Francisco’s Argonaut magazine in the 1880s and ’90s. SF historian Sam Moskowitz credits Milne with being the first full-time SF writer, and his contribution to the genre is arguably greater than anyone else including Stevenson and Conan Doyle, yet it has all but disappeared into oblivion. Milne was fascinated by science. He drew on the work of Scottish physicists and inventors such as James Clark Maxwell and Alexander Graham Bell into the possibilities of electroma

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