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Journal articles on the topic 'Image monitoring system'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Muhadi, Nur, Ahmad Abdullah, Siti Bejo, Muhammad Mahadi, and Ana Mijic. "Image Segmentation Methods for Flood Monitoring System." Water 12, no. 6 (2020): 1825. http://dx.doi.org/10.3390/w12061825.

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Flood disasters are considered annual disasters in Malaysia due to their consistent occurrence. They are among the most dangerous disasters in the country. Lack of data during flood events is the main constraint to improving flood monitoring systems. With the rapid development of information technology, flood monitoring systems using a computer vision approach have gained attention over the last decade. Computer vision requires an image segmentation technique to understand the content of the image and to facilitate analysis. Various segmentation algorithms have been developed to improve result

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Hegde, Mahesh Subray, and Dr Ramakanth Kumar P. "Server Room Monitoring System using CCTV." International Journal of Innovative Technology and Exploring Engineering 11, no. 9 (2022): 18–22. http://dx.doi.org/10.35940/ijitee.g9211.0811922.

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Server Room is the main part when it comes to any organization since any malicious activity in the server room may bring down the whole server room bringing the work of organization to halt. Hence, we need a server room monitoring system which works on real time images and monitors using compressed circuit television (CCTV). The framework used for server room monitoring is YOLO (You Only look Once). YOLO employs Convolutional neural networks (CNN) for image processing. In CNN image must pass through different layers like Convolutional layer, pooling layer, ReLu layer and fully connected layer.

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Mahesh, Subray Hegde, and Ramakanth Kumar P. Dr. "Server Room Monitoring System using CCTV." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 11, no. 9 (2023): 18–22. https://doi.org/10.35940/ijitee.G9211.0811922.

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<strong>Abstract</strong>: Server Room is the main part when it comes to any organization since any malicious activity in the server room may bring down the whole server room bringing the work of organization to halt. Hence, we need a server room monitoring system which works on real time images and monitors using compressed circuit television (CCTV). The framework used for server room monitoring is YOLO (You Only look Once). YOLO employs Convolutional neural networks (CNN) for image processing. In CNN image must pass through different layers like Convolutional layer, pooling layer, ReLu layer

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Bao, Kongjun, and Yaoxi Bao. "Image Processing Technology in Remote Monitoring and Intelligent Medical System." Journal of Healthcare Engineering 2021 (November 22, 2021): 1–6. http://dx.doi.org/10.1155/2021/6549891.

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In order to study the application of image processing technology in remote monitoring and intelligent medical systems, the principle and implementation method of a remote intelligent image monitoring system based on virtual local area network is proposed; this method analyzes the key technologies to be considered in the remote realization of image monitoring, adopts advanced digital image compression coding and decoding technology and digital image transmission technology, and applies intelligent image processing and recognition technology to display, adjust, and track images; it overcomes the

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V, Dr Radhika. "IoT based Automatic Classroom Attendance Monitoring System Using Image Processing." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 2873–77. http://dx.doi.org/10.5373/jardcs/v12sp7/20202429.

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Li, Xiao Ling. "Forest Fire Monitoring System Based on Image Analysis." Advanced Materials Research 267 (June 2011): 155–59. http://dx.doi.org/10.4028/www.scientific.net/amr.267.155.

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Large forest fires are very hazardous and often cause greater losses. However, due to the vast coverage of forests and the environmental complexity, monitoring which relies on sensor detection of direct contact almost cannot achieve its monitoring function. In this paper, the author proposes that long-range images will first be acquired and so do the images of a larger dynamic range of the observed region, then an embedded video monitoring system will be formed realizing a dynamic monitoring. With the techniques of dynamic image analysis and processing, dynamic image alarms and control signals

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Zhang, Xiaomin, Yanning Zhang, Jinfeng Geng, Jinming Pan, Xinyao Huang, and Xiuqin Rao. "Feather Damage Monitoring System Using RGB-Depth-Thermal Model for Chickens." Animals 13, no. 1 (2022): 126. http://dx.doi.org/10.3390/ani13010126.

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Feather damage is a continuous health and welfare challenge among laying hens. Infrared thermography is a tool that can evaluate the changes in the surface temperature, derived from an inflammatory process that would make it possible to objectively determine the depth of the damage to the dermis. Therefore, the objective of this article was to develop an approach to feather damage assessment based on visible light and infrared thermography. Fusing information obtained from these two bands can highlight their strengths, which is more evident in the assessment of feather damage. A novel pipeline

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Argade, Ruchika, Mayuri Dengale, Snehal Jagtap, and Prof Patharwalkar Shilpa s. "Leather Monitoring System Using Image Processing." IOSR journal of VLSI and Signal Processing 4, no. 2 (2014): 09–12. http://dx.doi.org/10.9790/4200-04220912.

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Haryanto, Desi Anis Anggraini, Miftachul Ulum, and Achmad Fiqhi Ibadillah. "Image Processing Based Aquaponics Monitoring System." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 5, no. 1 (2021): 37–59. http://dx.doi.org/10.21070/jeeeu.v5i1.1220.

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Aquaponics means a culture that is very necessary to be applied, because in this system it is a combination of fish farming techniques as well as plant enlargement techniques by hydroponics. This research develops a smart aquaponics system that can control and increase the acidity level, air temperature, fish feed, and the installation of a camera to monitor fish development. In this system, there are sensors installed to retrieve data. Thus, air quality and circulation is well maintained. The results obtained from this study are to test an automatic feed system that runs well for each experim

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Sari, Dewi Mutiara, Bayu Sandi Marta, Muhammad Amin A, and Haryo Dwito Armono. "The Analysis of Underwater Imagery System for Armor Unit Monitoring Application." International Journal of Artificial Intelligence & Robotics (IJAIR) 5, no. 1 (2023): 1–12. http://dx.doi.org/10.25139/ijair.v5i1.5918.

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The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods.

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Yin, Jing, and Chuan Hua Li. "Design and Realization of IOT-Based Video Monitoring System." Applied Mechanics and Materials 644-650 (September 2014): 3314–17. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3314.

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In this paper, an IOT video monitoring system is designed based on UP-Magic6410 platform, and web camera function within LAN and yeelink-based image monitoring within WAN are realized. In addition, dynamic images could be sent to designated email address after being coded to avi formatted video, which could be directly played to provide monitoring footage. Video and image could also be viewed and downloaded via ftp within LAN.

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Nie, Zhongchun, Weijun Tao, and Shi Huan. "Po engineering safety monitoring and control system based on image quality analysis." Journal of Intelligent & Fuzzy Systems 39, no. 4 (2020): 5283–90. http://dx.doi.org/10.3233/jifs-189013.

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Nowadays, urbanization has become a trend, and the realization of urbanization cannot be separated from the implementation of various projects. In the process of project implementation, the most critical issue is safety, so it is extremely necessary to monitor the project safety. Traditional manual monitoring cannot meet the development of today’s project, and the design of an automatic monitoring system for project safety has become a hot spot. In this paper, based on image processing and monitoring technology, and engineering safety monitoring and control system based on image quality analys

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Kong, Xiang Feng. "Monitoring System Design for Ships Network." Advanced Materials Research 846-847 (November 2013): 1542–45. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1542.

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This paper designs a Vessel Remote Video Monitoring System based on internet protocol. The system uses positioning and network transmission technology to transmit real-time images of ships offshore to the server, to set up the client and visual monitoring ends. Ships monitoring personnel enter WEB monitoring platform with different permissions, to monitor and process ships image data through the network view, scheduling, monitoring terminals and other system modules. It also adds density ratio-based automatic alarm module to realize the intelligent early warning of offshore Ships density. Expe

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Lakshmi, K., and S. Gayathri. "Implementation of IoT with Image processing in plant growth monitoring system." Journal of Scientific and Innovative Research 6, no. 2 (2017): 80–83. http://dx.doi.org/10.31254/jsir.2017.6208.

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An automated system for monitoring the growth of plant can be done with appropriate taxonomies. Such kind of information can be useful for formers, botanists, industrialists, food engineers and physicians. This work combines Image Processing and IoT to monitor the plant and to collect the environmental factors such as humidity and temperature. In image processing, a recognition system capable of identifying plants by using the images of their leaves has been developed and with the help of the images use of pesticides can be controlled. The system runs pre-processing and feature extraction tech

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Rau, J. Y., J. P. Jhan, and R. Andaru. "LANDSLIDE DEFORMATION MONITORING BY THREE-CAMERA IMAGING SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 559–65. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-559-2019.

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<p><strong>Abstract.</strong> Landslide deformation is a critical issue for WuWanZai as it will affect the road safety and cause transportation problem. Since the relief of this area is about 400 meters with an area of tens of hectares, we use an unmanned helicopter equipped with a three-camera imaging system to acquire high spatial resolution images in order to measure detail terrain variation. The unmanned helicopter can fly according to terrain slope to obtain 1&amp;ndash;3&amp;thinsp;cm spatial resolution images. The acquired three-camera images are stitched into

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Khudov, H., and D. Misiuk. "THE METHOD OF SEGMENTATION OF THE IMAGES IN THE REMOTE VIDEO MONITORING SYSTEM BASED ON THE K-MEANS ALGORITHM." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки 16, no. 2 (2023): 82–89. http://dx.doi.org/10.37701/dndivsovt.16.2023.12.

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The configuration of the video monitoring system, which is widely used in the protection systems of objects and positions of units, is given. Examples of the collision line video monitoring system are given, namely: the video monitoring system of the special monitoring mission of the Organization for Security and Cooperation in Europe and the battalion video surveillance complex. An analysis of known methods of image segmentation in video monitoring systems has been carried out. The analysis showed that these methods do not meet the requirements for the quality of image segmentation in the vid

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M. D. Ingle et al. "Driver Monitoring System Using Machine Learning." Proceeding International Conference on Science and Engineering 11, no. 1 (2023): 234–40. http://dx.doi.org/10.52783/cienceng.v11i1.119.

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As technology improves and becomes more novel, means of transportation are becoming more sophisticated. There are some rules that all motorists must follow, regardless of social status. The proposed system aims to reduce the number of accidents caused by driver drowsiness and fatigue and increase transport safety. This has become a common cause of accidents in recent years. Multiple facial and body gestures, such as tired eyes and yawning, are considered signs of driver drowsiness and fatigue. EAR (Eye Aspect Ratio) calculates the ratio of distance between horizontal and vertical eye marks req

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Atone, Sushil V., Shubhangi S. Dod, and Rushikesh T. Bankar. "An Intelligent Method for Fruit Counting System." Journal of Advance Research in Social Science and Humanities (ISSN: 2208-2387) 1, no. 1 (2015): 01–04. http://dx.doi.org/10.53555/nnssh.v1i1.227.

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In this paper image processing based yield counting system and health monitoring of citrus fruit is being processed. The model which is explained in the paper can be worked in any graphical area. The system consists of an automatic robot which revolves around. The axis of citrus tree and clicks various images from different angle. Then this images are processed by image processing algorithm and color based counting of fruit is presented at the output. The system is being designed to automatically and accurately calculated the yield of citrus group tree and health monitoring is temperature and

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Zhu, Haijiang, Xiupu Yin, and Xuan Wang. "Improved image defogging method and its application in video monitoring system based on ARM." Sensor Review 34, no. 3 (2014): 266–72. http://dx.doi.org/10.1108/sr-05-2012-684.

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Purpose – The purpose of this paper is to improve an image defogging algorithm based on a dark channel prior and use this method to clear the foggy image on the Advanced RISC (Reduced Instruction Set Computing) Machines (ARM) platform. Design/methodology/approach – The divided strategy of the foggy image was proposed through the estimation of the brightness and transmission thresholds. The two regions of the foggy image were processed using two transmissions. Many foggy images were tested using the improved method. Findings – The finding resulting from this study is that a divided strategy has

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Savale, Shradha1 Jagdhane Monali2 Dange Pratiksha3 Deshmukh Anuradha4. "SMART GARBAGE MONITORING SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [ICEMESM-18] (April 27, 2018): 214–18. https://doi.org/10.5281/zenodo.1232305.

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As the name suggests we are developing an Automatic garbage collection and information gathering system which is based on Image processing as well as on GSM module. The main concept is that a Camera will be placed at every garbage collection point along with load cell sensor at bottom of the garbage can. The camera will take continuous snapshots of the garbage can. A threshold level is set which compares the output of camera and load sensor .The comparison is done with help of microcontroller. After analysing the image we get an idea about level of garbage in the can and from the load cell sen

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Bekeneva, Ya A., V. D. Petukhov, and O. Yu Frantsisko. "Local image processing in distributed monitoring system." Journal of Physics: Conference Series 1679 (November 2020): 032048. http://dx.doi.org/10.1088/1742-6596/1679/3/032048.

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Bo, Qiuyu, and Wuqun Cheng. "Design of a Groundwater Level Monitoring System Based on Internet of Things and Image Recognition." Traitement du Signal 38, no. 4 (2021): 979–84. http://dx.doi.org/10.18280/ts.380407.

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This paper designs an intelligent groundwater level monitoring system based on image recognition and Internet of things (IoT). Image recognition technology was employed to process the water level image, and determine the water level line. The IoT was adopted to transmit the collected multimedia data accurately to the monitoring end, thereby realizing the automatic remote monitoring of real-time water level. After analyzing the image recognition technology and the key algorithm of water level recognition, the authors designed the whole process of groundwater level monitoring with two modules: w

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Ramesh, S., and D. Vydeki. "Rice-Blast Disease Monitoring Using Mobile App." International Journal of Engineering & Technology 7, no. 3.6 (2018): 400. http://dx.doi.org/10.14419/ijet.v7i3.6.16011.

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This research paper focuses on implementation of image analysis algorithms on captured images for the purpose of detecting crop diseases and monitored through Mobile App. The purpose of this research is to find out the diseases in early stage, and reduce the yield loss. The system design includes sensors, controller, image analysis algorithm, Cloud storage and mobile app. Using the USB camera, images in the farm are captured and processed by controller module. This is sent to the cloud, which can be accessed by mobile App or remote user. Various image processing algorithms were used to process

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Deeprasertkul, Prattana, and Worawit Praikan. "A Rainfall Monitoring System in Thailand by Using Image Processing Technology." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 7 (2014): 4653–62. http://dx.doi.org/10.24297/ijct.v13i7.2509.

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The Weather Research and Forecasting (WRF) modelling system is designed and developed to be a flexible atmospheric simulation system. It produces the images to display the three days rainfall forecasts. Therefore, the rainfall monitoring system has been created to calculate the volume of accumulated rainfall within six consecutive days (three days forecast and three days after) by applying the image processing technology with WRF images outputs. This work aims to assist in flood disaster monitoring. The outcomes of this system are the list of province names that have the highest accumulated ra

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Correia, Beatriz, Osvaldo Pacheco, Rui J. M. Rocha, and Paulo L. Correia. "Image-Based Shrimp Aquaculture Monitoring." Sensors 25, no. 1 (2025): 248. https://doi.org/10.3390/s25010248.

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Shrimp farming is a growing industry, and automating certain processes within aquaculture tanks is becoming increasingly important to improve efficiency. This paper proposes an image-based system designed to address four key tasks in an aquaculture tank with Penaeus vannamei: estimating shrimp length and weight, counting shrimps, and evaluating feed pellet food attractiveness. A setup was designed, including a camera connected to a Raspberry Pi computer, to capture high-quality images around a feeding plate during feeding moments. A dataset composed of 1140 images was captured over multiple da

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Wang, Huaben. "Remote Network Monitoring Technology Based on Computer Technology." Journal of Physics: Conference Series 2146, no. 1 (2022): 012040. http://dx.doi.org/10.1088/1742-6596/2146/1/012040.

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Abstract With the rapid development of Internet technology, using images to express the characteristics of things more direct, compared with text, audio, image expression content is more ambiguous, which makes the rapid increase of digital images on the Internet. Nowadays one of the hot directions of computer vision research is how to accurately and quickly retrieve the target image from a large amount of image data. This paper summarizes the development of image retrieval technology at home and abroad, and proposes an image search method based on color histogram and Chi-square distance. This

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Yesilevskyi, Valentyn, Anton Koliadin, and Olena Sereda. "DEVELOPMENT OF A VIDEO PROCESSING MODULE FOR THE TASK OF AIR OBJECT RECOGNITION BASED ON THEIR CONTOURS." Innovative Technologies and Scientific Solutions for Industries, no. 3 (21) (September 30, 2022): 16–25. http://dx.doi.org/10.30837/itssi.2022.21.016.

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The subject of research in the article is the module of automatic segmentation and subtraction of the background, which is created, based on the sequential application of methods of image preprocessing and modified method of interactive segmentation of images and implemented in the system of optical monitoring of the air situation. The aim of the work is to develop an image segmentation module to increase the efficiency of recognition of an air object type on a video image in the system of visual monitoring of the air environment by means of qualitative automatic segmentation. To solve this pr

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Srivastava, Sanjeevani. "Driver Drowsiness Monitoring System using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1344–50. http://dx.doi.org/10.22214/ijraset.2023.51769.

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Abstract: In today's world, sleepiness is one of the main causes of road accidents, many of which have tragic outcomes. Statistics show that the majority of traffic collisions, which frequently result in fatalities and serious injuries, are caused by sleepy driving. As a result, various studies have been done to develop software that can recognize driver tiredness and alert them before making a major error. Using methods from the automobile industry, several of the more popular ways to design their own systems. However, other factors, such as vehicle type, road design, and the capacity to oper

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Zhang, Yu, Ruofei Zhong, Yongrong Li, and Haili Sun. "Research on Monitoring Method of Remote Deformation and System Application Based on Image." Advances in Civil Engineering 2021 (August 2, 2021): 1–14. http://dx.doi.org/10.1155/2021/9229311.

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The development of information technology and computer science has put forward higher requirements on the intelligence of deformation monitoring. We study a method based on image deformation analysis, which uses Scale-Invariant Feature Transform (SIFT) to extract image feature points after preprocessing the acquired images, applies All-Pixels Matching (APM) method to the sequence images to do further high-precision matching to achieve the accuracy of subpixels, and finally solves the deformation variables according to the relationship of the real size of the reference target and its pixel. Wav

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Wang, Qing Hui, and Hong Wei Chai. "Design of the Embedded Video Image Monitoring System Based on B/S Mode." Advanced Materials Research 433-440 (January 2012): 5722–26. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5722.

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Relying on powerful image processing capabilities and special parallel peripheral interface which is based on the ADI Corporation Blackfin561 DSP and using advanced H.264 video compression algorithm under the operate system of the uClinux. The implementation scheme of video image monitoring system based on B/S mode is proposed. By running the web boa server under the uClinux on the BF561 platform, the system realizes the video image acquisition,processing and network transmission.The result shows that the client can see the clearer images through the browser and the system meets the requiremen

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Vikas, Kummari, Thipparthi Rajabrahmam, Ponnam Venu, and Shanmugasundaram Hariharan. "Deep Learning Approach for Event Monitoring System." International Journal of Managing Information Technology 14, no. 3 (2022): 23–30. http://dx.doi.org/10.5121/ijmit.2022.14302.

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With an increasing number of extreme events and complexity, more alarms are being used to monitor control rooms. Operators in the control rooms need to monitor and analyze these alarms to take suitable actions to ensure the system’s stability and security. Security is the biggest concern in the modern world. It is important to have a rigid surveillance that should guarantee protection from any sought of hazard. Considering security, Closed Circuit TV (CCTV) cameras are being utilized for reconnaissance, but these CCTV cameras require a person for supervision. As a human being, there can be a p

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Fu, Xin Sha, and Juan Zhu. "Video-Based Automatic Incident Detection of Highway Network Monitoring System." Advanced Materials Research 181-182 (January 2011): 776–81. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.776.

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Traffic information collection and incident detection is the base of Expressway network monitoring and operational management, and is the important components and key technologies of intelligent transportation systems. This paper Based on computer vision technology and digital image processing technology, Combining the needs and existing monitoring facilities of current highway traffic monitoring, study Video images based on highway traffic incident detection monitoring system, complete the system development, system engineering and system integration technology, And monitoring operations in t

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Jeon, Hyeong-GI, and Kyoung-Hee Lee. "Region-of-Interest Extraction Method to Increase Object-Detection Performance in Remote Monitoring System." Applied Sciences 15, no. 10 (2025): 5328. https://doi.org/10.3390/app15105328.

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This study proposes an image data preprocessing method to improve the efficiency of transmitting and processing images for object detection in distributed IoT systems such as digital CCTV. The proposed method prepares a background image using Gaussian Mixture-based modeling with a series of continuous images in the video. Then it is used as the reference to be compared with a target image to extract the ROIs by our DSSIM-based area filtering algorithm. The background areas beside the ROIs in the image are filled with a single color—either black or white to reduce data size, or a highly saturat

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Liang, Xin Yuan. "On-Line Oil Condition Monitoring System." Applied Mechanics and Materials 475-476 (December 2013): 7–11. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.7.

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An on-line monitoring system was proposed to monitor lubrication oil real-time condition. Oil is the machine equipment blood, and its condition has very serious influence on machine running. Firstly, this paper expiated the research significance of on-line oil monitoring. Then the key problem of on-line oil monitoring was discussed and its goal was analyzed. Furthermore, basic research content and research thread were put forward. Based on the modern photoelectric detection, microscopic imaging and computer image processing technology, an on-line acquisition system of lubricating oil particle

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Md, Mozasser Rahman, Abbas Ahmed Alharazi Rayan, and Khairul Imban b. Zainal Badri Muhammad. "Intelligent system for Islamic prayer (salat) posture monitoring." International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 220–31. https://doi.org/10.11591/ijai.v12.i1.pp220-231.

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This paper introduced an Intelligent Salat Monitoring and Training System based on machine vision and image processing. In Islam, prayer (i.e. salat) is the second pillar of Islam. It is the most important and fundamental worshipping activity that believers have to perform five times a day. From gestures’ perspective, there are predefined human postures that must be performed in a precise manner. There are lots of materials on the internet and social media for training and correction purposes. However, some people do not perform these postures correctly due to being new to salat or even

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Mu, Honghui, Jiayan Zhang, and Ting Xu. "Facial Skin Monitoring System Based on Image Processing." Journal of Physics: Conference Series 1881, no. 2 (2021): 022014. http://dx.doi.org/10.1088/1742-6596/1881/2/022014.

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Lee, Seung-Hee, Bum-Joo Shin, Bok-Deuk Song, Sun-Joung An, Jin-Dong Kim, and Hak-Jun Lee. "Wild Fire Monitoring System using the Image Matching." Journal of the Korea Contents Association 13, no. 6 (2013): 40–47. http://dx.doi.org/10.5392/jkca.2013.13.06.040.

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Yamada, Keiichi, Morimichi Mizuno, Shin Yamamoto, Katsuaki Murano, and Shuichi Sunahara. "A Parking Lot Monitoring System Using Image Processing." IEEJ Transactions on Electronics, Information and Systems 120, no. 6 (2000): 784–90. http://dx.doi.org/10.1541/ieejeiss1987.120.6_784.

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Giesko, Tomasz. "Dual-Camera Vision System for Fatigue Monitoring." Materials Science Forum 726 (August 2012): 226–32. http://dx.doi.org/10.4028/www.scientific.net/msf.726.226.

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The article presents a dual-camera vision system for fatigue monitoring composed of a vision unit, a camera positioning set and a computer unit. Vision modules are mounted onto the 4DOF positioning sets, which allows for an easy determination of the position of the camera in relation to the sample. The application of motorized measurement lenses with changeable configuration, thanks to the alteration of the distance of observation and the vision angle, enables the adaptation of the system to different scales of observation of the fatigue processes in the specimen surface. Automatic focus setti

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Anand, Kumar Dohare, and Ahmad Khan Adnan. "Plant Health Monitoring System Using Machine Learning." International Journal of Engineering and Management Research 14, no. 1 (2024): 87–94. https://doi.org/10.5281/zenodo.10689196.

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Agriculture has transformed into more than just a means to feed growing populations; it's a crucial sector in India, engaging over 70% of the workforce and ensuring sustenance for a vast number of people. Plants play a pivotal role in ecosystems, supporting human life and wildlife by providing food. Preserving plant health is imperative, particularly in detecting diseases, as it directly impacts the quality and quantity of agricultural yields.This paper focuses on the technologies that are being used in plant health monitoring system which is being adopted nowadays in agriculture to make farmi

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Wader, Manjula A. "SKIN HEALTH PARAMETER MONITORING SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem36226.

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Skin conditions, influenced by both internal bodily factors and external environmental elements, affect millions worldwide. Among these, environmental factors play a vital role, impacting skin health in many ways. In response to this issue, the prototype system provides real-time data on environmental parameters crucial for skin wellness. It integrates sensors to monitor temperature, humidity, UV radiation, and skin moisture, all connected to a microcontroller. This data is displayed on an LCD screen and transmitted to a website and mobile application (APK). Users receive alerts when sensor re

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Wang, Zhen Chong, and Yan Qin Zhao. "An Image Enhancement Method Based on the Coal Mine Monitoring System." Advanced Materials Research 468-471 (February 2012): 204–7. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.204.

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For the low illumination and low contrast in the coal mine, images captured from the video monitor system sometimes are not so clear to help the related personal monitoring the production and safety of the mine. According to the special environment of coal mine, an image enhancement method was presented. In this method the impulse noise which is the mainly noise in the coal mine was first reduced with median filtering, then the low contrast and illumination was greatly improved with the improved adaptive histogram equalization. Experiments show that this method can improve the quality of image

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Rahman, Md Mozasser, Rayan Abbas Ahmed Alharazi, and Muhammad Khairul Imban b. Zainal Badri. "Intelligent system for Islamic prayer (salat) posture monitoring." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 220. http://dx.doi.org/10.11591/ijai.v12.i1.pp220-231.

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This paper introduced an Intelligent Salat Monitoring and Training System based on machine vision and image processing. In Islam, prayer (<em>i.e. s</em><em>alat</em>) is the second pillar of Islam. It is the most important and fundamental worshipping activity that believers have to perform five times a day. From gestures’ perspective, there are predefined human postures that must be performed in a precise manner. There are lots of materials on the internet and social media for training and correction purposes. However, some people do not perform these postures correctl

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Igor, Ruban, Khudov Hennadii, Makoveichuk Oleksandr, et al. "METHOD FOR DETERMINING ELEMENTS OF URBAN INFRASTRUCTURE OBJECTS BASED ON THE RESULTS FROM AIR MONITORING." Eastern-European Journal of Enterprise Technologies 4, no. 9 (100) (2019): 52–61. https://doi.org/10.15587/1729-4061.2019.174576.

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The study proposes a two-stage method for determination of elements of urban infrastructure objects in images made by air monitoring systems. The first stage implies determining the contours of objects in images. The advanced Canny method was selected as the contour determination method. We considered the main stages of the advanced Canny method for determination of contours of objects in images made by air monitoring systems. The application of the Hough transform at the second stage was proposed. The paper reports features in the method for determination of elements of urban infrastructure i

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Rai Putera Yasa, I. Made, I. Made Oka Widyantara, and NMAE Dewi Wirastuti. "PERBAIKAN KONTRAS CITRA MENGGUNAKAN TEKNIK BRIGHTNESS ADJUSTMENT UNTUK SISTEM EKSTRAKSI GARIS PANTAI." Jurnal SPEKTRUM 4, no. 2 (2018): 42. http://dx.doi.org/10.24843/spektrum.2017.v04.i02.p06.

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This study has evaluated the application of brightness adjustment technique to improve image contrast in the framework of coastline extraction on video-based shoreline monitoring system. In this monitoring system, the shoreline detection mechanism is done by introducing the land and sea objects in the video image. Changes in sea conditions due to weather changes cause a change in the contrast in the coastal image. The change in contrast will lead to inaccurate coastline detection. The brightness adjustment technique is applied to the image pre-processing to produce stable contrast in all condi

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Rahman, Gazi, Hanif Sohag, Rakibul Chowdhury, et al. "SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring." Sensors 20, no. 3 (2020): 787. http://dx.doi.org/10.3390/s20030787.

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A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated, and customizable to be effective and widely adopted. We present a newly designed root imaging system called SoilCam that addresses the above mentioned limitations. The imaging system is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated ope

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Harun-Ar-Rashid, Md, Oindrila Chowdhury, Muhammad Minoar Hossain, et al. "IoT-Based Medical Image Monitoring System Using HL7 in a Hospital Database." Healthcare 11, no. 1 (2023): 139. http://dx.doi.org/10.3390/healthcare11010139.

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In recent years, the healthcare system, along with the technology that surrounds it, has become a sector in much need of development. It has already improved in a wide range of areas thanks to significant and continuous research into the practical implications of biomedical and telemedicine studies. To ensure the continuing technological improvement of hospitals, physicians now also must properly maintain and manage large volumes of patient data. Transferring large amounts of data such as images to IoT servers based on machine-to-machine communication is difficult and time consuming over MQTT

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Sun, Hai Yan, and Li Guo Zang. "Monitoring driver attention distraction with binocular vision." International Journal of Modeling, Simulation, and Scientific Computing 10, no. 05 (2019): 1950027. http://dx.doi.org/10.1142/s1793962319500272.

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Driver attention distraction (DAD) is a typical artificial factor traffic accident, and DAD monitoring can improve driving security. In this study, a method was developed for accurate DAD monitoring based on binocular vision. A binocular vision system was built, and camera parameters of the system were calibrated based on Open CV. In the method, the driver’s facial image is obtained by using active infrared imaging technology and preprocessed to locate the eye positions. The connected component labeling algorithm for binary images is used to pinpoint the eye locations. The characteristic infor

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Sun, Mao Heng, Yi Xin Zhao, Wei Jiang, and Tian Tian Feng. "A Scheme for Excavation Displacement Monitoring Based on Image Processing." Applied Mechanics and Materials 226-228 (November 2012): 1923–26. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1923.

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Geotechnical monitoring is integral part of each excavation project and usually done with manual manner. This study proposes a new monitoring method, which combines with image processing and wireless communication to break traditional one. The scheme uses image sensors to capture the images of the cooperative boards. The camera system is calibrated by Zhang Zhengyou calibration method beforehand. Digital signal processors in the image acquisition module generate the undistorted version of the images by the calibration results and utilize Harris corner detection algorithm to extract grid corner

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Feng, Yichen, Hui Yin, Hao Zhang, Langtao Wu, Haihui Dong, and Jiawen Li. "Independent Tri-Spectral Integration for Intelligent Ship Monitoring in Ports: Bridging Optical, Infrared, and Satellite Insights." Journal of Marine Science and Engineering 12, no. 12 (2024): 2203. https://doi.org/10.3390/jmse12122203.

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Image-based ship monitoring technology has extensive applications, and is widely used in various aspects of port management, including illegal activity surveillance, vessel identification at entry and exit points, channel and berth management, unmanned vessel control, and incident warning and emergency response. However, most current ship identification technologies rely on a single information source, reducing detection accuracy in the complex and variable marine environment. To address this issue, this paper proposes a knowledge transfer-based ship identification system integrating three mod

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