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Articles de revues sur le sujet « Intelligent surveillance system »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 27 juillet 2025

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1

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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Lakshmi, B. Satya, V. Pavani, P. Kalyani Reddy, SK Zabeehullah, and CH Avinash. "VISION VAULT: INTELLIGENT VIDEO SURVEILLANCE SYSTEM." International Journal of Engineering Applied Sciences and Technology 09, no. 11 (2025): 44–48. https://doi.org/10.33564/ijeast.2025.v09i11.007.

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Vision Vault: Intelligent Video Surveillance System is a cutting-edge solution designed to enhance security in office environments through real-time object detection and analysis using the YOLO v8 algorithm. The system integrates multiple advanced modules, including Video Acquisition for capturing live feeds, preprocessing for frame enhancement and formatting, and Object Detection for identifying and classifying objects. The Behaviour Analysis & Anomaly Detection Module monitors movements and detects suspicious activities, and unattended objects. When anomalies are detected, the Alert &amp

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Lakshmi, B. Satya, V. Pavani, P. Kalyani Reddy, SK Zabeehullah, and CH Avinash. "VISION VAULT: INTELLIGENT VIDEO SURVEILLANCE SYSTEM." International Journal of Engineering Applied Sciences and Technology 09, no. 10 (2025): 73–79. https://doi.org/10.33564/ijeast.2025.v09i10.006.

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Vision Vault: Intelligent Video Surveillance System is a cutting-edge solution designed to enhance security in office environments through real-time object detection and analysis using the YOLO v8 algorithm. The system integrates multiple advanced modules, including Video Acquisition for capturing live feeds, pre-processing for frame enhancement and formatting, and Object Detection for identifying and classifying objects. The Behaviour Analysis & Anomaly Detection Module monitors movements and detects suspicious activities, and unattended objects. When anomalies are detected, the Alert &am

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Younis, E. Abdalla Younis E. Abdalla. "Surveillance System based on Artificial Intelligence Technology." International Journal for Research Trends and Innovation 8, no. 12 (2023): 522–25. https://doi.org/10.5281/zenodo.10428210.

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Obviously, Artificial Intelligence AI over the final decade has progressed exceptionally quickly. And it handled diverse issues in all investigated areas. The security camera gadgets, which permit the investigation of sound and pictures to distinguish individuals, vehicles, objects, occasions and behaviors in genuine time, ended up more solid and more intelligent by utilizing manufactured insights approach. These frameworks are able to act in genuine time, so they are perfect for execution in all sorts of video observation and edge reconnaissance gear.In this proposed extent we offer the (AI)

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Kale, Manoj Kulkarni Chaitanya Patil Ramesh Ruikar Sachin. "INTELLIGENT ALL GROUND SURVEILLANCE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 240–47. https://doi.org/10.5281/zenodo.573656.

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The paper is aimed at designing and building a manually controlled surveillance robot which runs on multiple surfaces. The main purpose of the robot is to roam around in each environment while transmitting back real time data (video) to the ground station. This real-time data can then be used by the controller (human) to move the robot around. The System is divided in two parts, base station and robot vehicle. The base station is a web-page used for controlling the robot vehicle. It consists of a graphical user interface for controlling the motion of robot-vehicle and for displaying the video.

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Nam, Yunyoung, Seungmin Rho, and Jong Hyuk Park. "Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata." Multimedia Tools and Applications 57, no. 2 (2010): 315–34. http://dx.doi.org/10.1007/s11042-010-0677-x.

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Maldonado, Kenly, and Steve Simske. "Situational Strategic Awareness Monitoring Surveillance System–Microcomputer and Microcomputer Clustering used for Intelligent, Economical, Scalable, and Deployable Approach for Safeguarding Materials." Electronic Imaging 2020, no. 3 (2020): 60408–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.3.mobmu-336.

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The principal objective of this research is to create a system that is quickly deployable, scalable, adaptable, and intelligent and provides cost-effective surveillance, both locally and globally. The intelligent surveillance system should be capable of rapid implementation to track (monitor) sensitive materials, i.e., radioactive or weapons stockpiles and person(s) within rooms, buildings, and/or areas in order to predict potential incidents proactively (versus reactively) through intelligence, locally and globally. The system will incorporate a combination of electronic systems that include

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Maldonado, Kenly, and Steve Simske. "Situational Strategic Awareness Monitoring Surveillance System—Microcomputer and Microcomputer Clustering used for Intelligent, Economical, Scalable, and Deployable Approach for Safeguarding Materials." Journal of Imaging Science and Technology 63, no. 6 (2019): 60408–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2019.63.6.060408.

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Abstract The principal objective of this research is to create a system that is quickly deployable, scalable, adaptable, and intelligent and provides cost-effective surveillance, both locally and globally. The intelligent surveillance system should be capable of rapid implementation to track (monitor) sensitive materials, i.e., radioactive or weapons stockpiles and person(s) within rooms, buildings, and/or areas in order to predict potential incidents proactively (versus reactively) through intelligence, locally and globally. The system will incorporate a combination of electronic systems that

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Mahibha, Akshaya S. Yamini E. Veeshal Sheev V. B. C. Jerin. "An Intelligent Fire Detection and Surveillance System." International Journal of Computer Sciences and Engineering 06, no. 03 (2018): 158–62. http://dx.doi.org/10.26438/ijcse/v6si3.158162.

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Jeon, Hyoung-Seok, Dong-Hae Yeom, and Young-Hoon Joo. "Video-based Intelligent Unmanned Fire Surveillance System." Journal of Korean Institute of Intelligent Systems 20, no. 4 (2010): 516–21. http://dx.doi.org/10.5391/jkiis.2010.20.4.516.

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Tsai, Tsung-Han, and Shih-Wei Chen. "Single-Chip Design for Intelligent Surveillance System." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26, no. 9 (2018): 1637–46. http://dx.doi.org/10.1109/tvlsi.2018.2827385.

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Yazdanbakhsh, Omolbanin, Yu Zhou, and Scott Dick. "An intelligent system for livestock disease surveillance." Information Sciences 378 (February 2017): 26–47. http://dx.doi.org/10.1016/j.ins.2016.10.026.

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Thanthry, Naagaraja, Indira Emmuadi, Aravind Srikumar, Kamesh Namuduri, and Ravi Pendse. "SVSS: Intelligent video surveillance system for aircraft." IEEE Aerospace and Electronic Systems Magazine 24, no. 10 (2009): 23–29. http://dx.doi.org/10.1109/maes.2009.5317783.

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Yoon, Tae-Ho, and Yoo-Seoung Song. "Emphasizing Intelligent Event Processing Cooperative Surveillance System." IEMEK Journal of Embedded Systems and Applications 7, no. 6 (2012): 339–43. http://dx.doi.org/10.14372/iemek.2012.7.6.339.

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Subbotin, A. N., and N. A. Zhukova. "Development of a file system for storing data of an intelligent video surveillance system." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 25, no. 2 (2025): 253–60. https://doi.org/10.17586/2226-1494-2025-25-2-253-26.

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The article considers the problem of creating a file system with characteristics different from universal ones for storing data of intelligent video surveillance systems. Access to the file system is a determining factor on which the performance of the entire system depends. A fast data bus and a modern processor do not always determine the speed of data operations, but also the hard disk access driver which, accordingly, can limit the system ability to perform basic functions: surveillance, image analysis, detection of images and events. It is necessary to select a more productive server whic

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Yauri, Ricardo, and José Monterrey. "Video surveillance system based on artificial vision and fog computing for the detection of lethal weapons." International Journal of Reconfigurable and Embedded Systems (IJRES) 14, no. 1 (2025): 191. https://doi.org/10.11591/ijres.v14.i1.pp191-199.

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Citizen insecurity in underdeveloped third world countries is aggravated by poor management of arms control and illegal trafficking, which requires information technology solutions in intelligent video surveillance systems for the detection of lethal weapons. The literature review highlights the need for an intelligent video surveillance system to combat high crime, using fog computing, which processes data in real time for the detection of weapons and other crimes. Furthermore, at an international level, solutions based on artificial intelligence and deep learning are being implemented for ob

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Yauri, Ricardo, and Jose Monterrey. "Video surveillance system based on artificial vision and fog computing for the detection of lethal weapons." International Journal of Reconfigurable and Embedded Systems (IJRES) 14, no. 1 (2025): 191–99. https://doi.org/10.11591/ijres.v14.i1.pp191-199.

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Citizen insecurity in underdeveloped third world countries is aggravated by poor management of arms control and illegal trafficking, which requires information technology solutions in intelligent video surveillance systems for the detection of lethal weapons. The literature review highlights the need for an intelligent video surveillance system to combat high crime, using fog computing, which processes data in real time for the detection of weapons and other crimes. Furthermore, at an international level, solutions based on artificial intelligence and deep learning are being implemented for ob

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Wu, Shuo Mei, Jian Wei Song, and Xu Ning Liu. "Application Research of Intelligent Monitoring System Based on Abnormal Events." Applied Mechanics and Materials 713-715 (January 2015): 471–74. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.471.

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In order to meet the needs of the construction information industry base, enhance their ability to serve the community, and improve scientific research projects of market-oriented level, then develop family-oriented and school-based intelligent monitoring software system, the development of new products in the smart camera and mobile video surveillance and development of new technologies are developed. It is considered that the electronic information industry needs to develop intelligent monitoring technology industry, the video compression technology and the use of mobile and existing wireles

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Zhang, Yu Xin, Fu Quan Li, Xi Tao, and Guo Yu Lin. "Design and Implementation of an Intelligent Video Surveillance System Based on Android Phone." Advanced Materials Research 816-817 (September 2013): 1126–30. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.1126.

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This paper proposes a new intelligent video surveillance system based on Android phone. By using Android phone, this system can be deployed easily and quickly. Compare with the traditional surveillance system, this new one uses Android phone to replace the large and expensive surveillance cameras. In addition, the functions of back-end equipment of the traditional system have been moved to the front-end equipment. With a modified invasion detection algorithm, the front-end equipment becomes more intelligent. This schema can significantly increase the mobility and flexibility of the entire syst

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Xu, Feng. "Applied-Information Technology in Abnormal Detection for Surveillance Systems." Advanced Materials Research 1046 (October 2014): 266–69. http://dx.doi.org/10.4028/www.scientific.net/amr.1046.266.

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In recent years, video surveillance has become more and more important for enhanced security and it is indispensable technology for fighting against all types of crime with the construction of sky-net in China. Abnormal detection is the focus of intelligent video surveillance and the information of abnormal behavior can be used in the investigation of criminal cases, which combines computer vision and artificial intelligence technology and has wide application prospect in public security work. In this paper, first the current research situation of the intelligent surveillance system is introdu

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Sunil Sarjine, Abhishek. "Intelligent Video Surveillance using Deep Learning." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–9. https://doi.org/10.55041/isjem03840.

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ABSTRACT: In recent years, the demand for automated and intelligent surveillance systems has increased significantly due to rising concerns over public safety and security. Traditional surveillance systems rely heavily on manual monitoring, which is time-consuming, error-prone, and lacks real-time responsiveness. This research presents the development of an intelligent video surveillance system using deep learning techniques, specifically employing the YOLOv5s object detection model for efficient and accurate real-time detection of objects such as people, vehicles, and animals. The system is i

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Mankar, Ishan. "Smart Surveillance System Using RESNET-50 and MTCNN." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4380–86. http://dx.doi.org/10.22214/ijraset.2024.62554.

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Abstract: In recent years, advances in computer vision and artificial intelligence have led to the development of sophisticated surveillance systems capable of tracking and identifying individuals in a variety of situations. This research presents a new intelligent surveillance system designed to track multiple people in a video and generate a comprehensive log file to keep records of identified people. The proposed system integrates state-of-the-art techniques in face detection and recognition to achieve accurate and efficient identification of people in video streams. The system uses a custo

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Ying Zhang. "The Game Between Intelligent Monitoring and Privacy in AI Policing." Frontiers in Humanities and Social Research 2, no. 01 (2025): 105–7. https://doi.org/10.71465/fhsr29.

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The fast development of artificial intelligence technology has pushed forward the intelligent transformation of police work. The artificial intelligence police system with intelligent surveillance at its core has had significant effects in areas like crime prevention and emergency handling. But its ability to collect a large amount of data and analyze behaviors has also caused wide disputes in terms of privacy protection. This article discusses the game relationship between intelligent surveillance and privacy rights in artificial intelligence policing from multiple aspects such as technology

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Swamy, Puchala Jaswanth Phaneendra, B. YeswanthKumar Reddy, and K. Chandrasekhar. "Intelligent Surveillance Using Robot Eye and Sensor System." Applied Mechanics and Materials 917 (October 13, 2023): 27–38. http://dx.doi.org/10.4028/p-4yneed.

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Majority of the advancements, which have been made in the field of robotics are employed in household applications. Surveillance systems are used in guarding and security applications of household and workplaces. This paper presents an advanced surveillance system which integrates sensor system, robot technology and intelligent programming. Robotic surveillance system can be used to replace human guards in dangerous surveillance conditions. Several robots have been developed to assist in these operations. But the full scale employment of robots in crucial fields such as surveillance, security

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He, Fangcheng. "Intelligent Video Surveillance Technology in Intelligent Transportation." Journal of Advanced Transportation 2020 (November 12, 2020): 1–10. http://dx.doi.org/10.1155/2020/8891449.

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Along with the strength of the country’s overall strength, the people’s pockets have become more and more popular, and there have been significant improvements in all aspects of life, especially in terms of travel methods. This reflects the increase in residents’ income, but it also brings huge traffic pressure. In the long run, traffic congestion is not only detrimental to urban development, but frequent traffic accidents threaten residents’ travel safety. Effective monitoring methods are essential to solving these problems, so it is necessary to carry out research on intelligent video monito

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Xi, Zhi Hong, and Guang Hui Dong. "Moving Objects Detection and Speed Estimation in Intelligent Surveillance System." Advanced Materials Research 712-715 (June 2013): 2354–58. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2354.

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In order to solve the problem of highway intelligent video surveillance system for effective monitoring of vehicle operating conditions, a fast block background modeling method is proposed in the framework for intelligent video surveillance system. First using statistical histogram to build the background model of the video surveillance system, second using background subtraction method to locate the moving target area, at last using displacement of the minimum exterior rectangle centroid of the moving target between two frames to calculate moving target speed, without the aid calibration. Exp

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Zhu, Mingjiang. "Application of Moving Target Information Perception Technology in Intelligent Supervision System." Scanning 2022 (August 31, 2022): 1–7. http://dx.doi.org/10.1155/2022/5192601.

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In order to solve the problems of inaccurate information collection, incomplete information collection, and inconsistency of collected images in traditional sports injury collection methods, an application method of moving target information perception technology in intelligent supervision system is proposed. By judging and analyzing the potential motion damage posture of the motion posture intelligent tracking images, the collected motion intelligence tracking images are judged. The intelligent tracking image matrix can make up for the shortcomings of traditional images that are not connected

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Yang, Gang, Xin Tan, and Yong Rui Zhang. "An Intelligent Video Surveillance System for Android Smart Phone." Advanced Materials Research 850-851 (December 2013): 884–88. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.884.

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Video surveillance technology is playing an important role, and it is widely used in some fields. With the popularity of Android OS, it draws researchers attention to increase the development of video surveillance systems on the platform. This paper presents a smart real-time video surveillance system based on Android smart phone. This system detects moving object by using improved GMM (Gaussian Mixture Mode) algorithm, recognizes invading human with cascade classifier, processes image data with coder & decoder, transmits data over RTP (Real-time Transport Protocol). It also applies some m

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Tang, Zhi Wei, and Xi Xuan Wu. "One Intelligent Video Surveillance System Based on DM642." Key Engineering Materials 474-476 (April 2011): 392–97. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.392.

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This article introduces an intelligent surveillance distributed system based on TMS320DM642. The system platform has many functions, such as OSD (on screen display), analog video output, digital video output, Hard Disk, Ethernet and so on. DM64. User can set the rules via the management software. The video input from analog cameras and IP cameras can be processed by DM642 according to the rules. If any event happens which acts against the rules, alarm will be given. The system provides immediate, accurate and intelligent services for users. In order to realize the complex image processing algo

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Jang, Jae-Hyuk, and Gab-Sig Sim. "Intelligent Mobile Surveillance System Based on Wireless Communication." Journal of the Korea Contents Association 15, no. 2 (2015): 11–20. http://dx.doi.org/10.5392/jkca.2015.15.02.011.

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DENGYun and CHENG Xiaohui. "Research and Design of Intelligent Video Surveillance System." International Journal of Advancements in Computing Technology 4, no. 11 (2012): 378–88. http://dx.doi.org/10.4156/ijact.vol4.issue11.41.

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Ulyev, A. D., V. L. Rozaliev, A. V. Zaboleeva-Zotova, and Y. A. Orlova. "An Intelligent Video Surveillance System for Human Behavior." Scientific and Technical Information Processing 48, no. 5 (2021): 388–97. http://dx.doi.org/10.3103/s0147688221050117.

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Li, Liwei, Haibin Xie, and Peng Li. "Intelligent Video Surveillance System Based on Cloud Network." Journal of Physics: Conference Series 2025, no. 1 (2021): 012021. http://dx.doi.org/10.1088/1742-6596/2025/1/012021.

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Abstract There are two shortcomings in traditional video surveillance systems: First, the amount of data is so huge that the processing, analysis, and viewing of massive data requires a lot of manpower, material resources and financial resources. Second, it is difficult to store and transmit video data. Mass video data often needs to be stored and passed to the backstage for analysis, and huge data makes data storage and transmission difficult. In view of the above trouble, this paper proposes a set of intelligent video surveillance system based on cloud network. It contains modules such as fa

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Zhao, Ying, Tian Fei Zhou, and Shao Qian Wei. "Crowd Abnormal Behavior Recognition in Intelligent Surveillance System." Applied Mechanics and Materials 263-266 (December 2012): 2592–96. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2592.

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Crowd abnormal behavior recognition is essential for intelligent visual surveillance in public places to ensure the safety of the public. This is a challenging work because crowd behaviors are complex which are influenced by various factors. This paper divided these factors into three categories: physical factors, social factors and psychological factors. Then an overview about crowd behavior modeling approaches was given. After that, the paper described and analyzed some influential existing algorithms in crowd abnormal behavior recognition from the view point of behavioral factors they used.

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Jia, Peng, and Shujuan Yang. "China needs a national intelligent syndromic surveillance system." Nature Medicine 26, no. 7 (2020): 990. http://dx.doi.org/10.1038/s41591-020-0921-5.

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Park, Ho-Sik. "Active Object Tracking System for Intelligent Video Surveillance." Journal of Korea Institute of Information, Electronics, and Communication Technology 7, no. 2 (2014): 82–85. http://dx.doi.org/10.17661/jkiiect.2014.7.2.082.

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S. Mohammed, Muthanna, Amel H. Abbas, and Nada A.Z. Abdullah. "INTELLIGENT SURVEILLANCE SYSTEM FOR FIRE DETECTION USING YOLOV8." Iraqi Journal for Computers and Informatics 50, no. 1 (2024): 105–22. http://dx.doi.org/10.25195/ijci.v50i1.476.

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This study describes a lightweight deep learning model trained on a self-made image dataset taken inside farms and open areas of the Holy Shrine of Al-Hussainiya in the City of Karbala, Iraq. This dataset includes fire and smoke images taken using a Samsung A52S camera in different weather conditions. The overall goal is to create a fire detection system model that can successfully replace the existing physical sensor-based fire detectors and lessen the issues that come with such fire detectors, including false and delayed triggering. Another goal is to control fires on farms or open areas and

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Kim, Do Hyun, Jung Eun Kim, Ji Hag Song, Yong Jun Shin, and Sung Soo Hwang. "Image-based Intelligent Surveillance System Using Unmanned Aircraft." Journal of Korea Multimedia Society 20, no. 3 (2017): 437–45. http://dx.doi.org/10.9717/kmms.2017.20.3.437.

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Li, Hongguang, Xinhua Feng, Deming Wu, and Lifeng Liang. "Design of Intelligent Surveillance System for Cable Connector." IOP Conference Series: Earth and Environmental Science 598 (November 25, 2020): 012096. http://dx.doi.org/10.1088/1755-1315/598/1/012096.

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Li, Yang, Qing Hong Wu, and Xue Xiao. "Based Embedded System Applications in Intelligent Home Remote Monitoring." Applied Mechanics and Materials 602-605 (August 2014): 2317–20. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2317.

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With the continuous improvement of security awareness, home security has become the focus of attention. The actual demand for home video surveillance system, designed a cheap, practical, small size and low power consumption of video surveillance systems, this paper uses microprocessor S3C2440 ARM9 core as the core hardware control, embedded Linux operating system with software the control core, and cheap, generic USB camera video capture device as a front end to complete the design of a home video surveillance system.

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Liu, Yu, and Chao Zhang. "The Auxiliary System of Video Surveillance in Smart Substation." Journal of Physics: Conference Series 2195, no. 1 (2022): 012030. http://dx.doi.org/10.1088/1742-6596/2195/1/012030.

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Abstract With the continuous development of artificial intelligence technology, the current substation operation and maintenance personnel have more and more urgent needs for the visualization, remoteness and intelligence of the operation and maintenance system. In order to solve the existing problems and present situation, key technologies such as image acquisition, image recognition, and visual display are studied. A smart substation video monitoring auxiliary system was developed. The system is used advanced cameras and acquisition equipment to monitor and detect related electrical equipmen

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