Design of the Embedded Video Image Monitoring System Based on B/S Mode

2012 ◽  
Vol 433-440 ◽  
pp. 5722-5726
Author(s):  
Qing Hui Wang ◽  
Hong Wei Chai
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
Video Compression ◽  
Image Acquisition ◽  
Compression Algorithm ◽  
Video Image ◽  
Video Monitoring ◽  
Image Monitoring ◽  
Implementation Scheme ◽  
The Web

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 requirements of the remote video monitoring.

scholarly journals COVIMOS: A Coastal Video Monitoring System

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
I Made Oka Widyantara ◽  
I Made Dwi Asana Putra ◽  
Ida Bagus Putu Adnyana
Keyword(s):  
Monitoring System ◽  
Nearest Neighbor ◽  
Low Cost ◽  
Video Image ◽  
Video Monitoring ◽  
Reference Object ◽  
Self Organizing Map ◽  
K Nearest Neighbor ◽  
Ip Camera ◽  
Class Labels

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

Design of Live Video Monitoring System Based on DM642

2011 ◽  
Vol 291-294 ◽  
pp. 2823-2828
Author(s):  
Jin Qing Liu ◽  
Qun Zhen Fan
Keyword(s):  
Monitoring System ◽  
High Speed ◽  
High Efficiency ◽  
Image Transmission ◽  
Field Application ◽  
Video Image ◽  
Video Monitoring ◽  
Live Video ◽  
Transmission Quality ◽  
Software And Hardware

This paper adopts high-speed fixed-point signal processor TMS320DM64 produced by TI company, XC2S150 chip FPGA produced by Xilinx company, video front-end decoder chip SAA7111 and back-end encoding chip AL250 new launched by PHILIP company, which constituted a high-speed, intelligent live video monitoring system. The system video image transmission of strong real-time, high efficiency and good transmission quality can meet the requirements of many video image processing and transmission field application in current, and has a good application prospect. The design of system software and hardware that introduced in this paper is the key.

Design and Realization of IOT-Based Video Monitoring System

2014 ◽  
Vol 644-650 ◽  
pp. 3314-3317
Author(s):  
Jing Yin ◽  
Chuan Hua Li
Keyword(s):  
Monitoring System ◽  
Video Monitoring ◽  
Email Address ◽  
Web Camera ◽  
Image Monitoring

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.

scholarly journals The Improved Hill Encryption Algorithm towards the Unmanned Surface Vessel Video Monitoring System Based on Internet of Things Technology

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Tingting Yang ◽  
Yangyang Li ◽  
Chengzhe Lai ◽  
Jie Dong ◽  
Minghua Xia
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Video Compression ◽  
Computation Time ◽  
Video Data ◽  
Maritime Security ◽  
Video Monitoring ◽  
Encryption Algorithm ◽  
Security Technology ◽  
Internet Of Things Technology

Depending on the actual demand of maritime security, this paper analyzes the specific requirements of video encryption algorithm for maritime monitoring system. Based on the technology of Internet of things, the intelligent monitoring system of unmanned surface vessels (USV) is designed and realized, and the security technology and network technology of the Internet of things are adopted. The USV are utilized to monitor and collect information on the sea, which is critical to maritime security. Once the video data were captured by pirates and criminals during the transmission, the security of the sea will be affected awfully. The shortcomings of traditional algorithms are as follows: the encryption degree is not high, computing cost is expensive, and video data is intercepted and captured easily during the transmission process. In order to overcome the disadvantages, a novel encryption algorithm, i.e., the improved Hill encryption algorithm, is proposed to deal with the security problems of the unmanned video monitoring system in this paper. Specifically, the Hill algorithm of classical cryptography is transplanted into image encryption, using an invertible matrix as the key to realize the encryption of image matrix. The improved Hill encryption algorithm combines with the process of video compression and regulates the parameters of the encryption process according to the content of the video image and overcomes the disadvantages that exist in the traditional encryption algorithm and decreases the computation time of the inverse matrix so that the comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.

A Chemical Embedded Video Monitoring System Based on Real-Time Video Compression MPEG4 Encoding

2014 ◽  
Vol 513-517 ◽  
pp. 3663-3666
Author(s):  
Hai Bing Zhang ◽  
Ge Liu
Keyword(s):  
Monitoring System ◽  
Video Compression ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Monitoring ◽  
Advanced Technology ◽  
Video Surveillance System ◽  
Chemical Application ◽  
Digital Monitoring ◽  
Coding Standards

Among the digital monitoring system, MPEG4 encoding compression technology and embedded technologies are widely used, chemical embedded MPEG4 video surveillance system has a broad market prospect and highly advanced technology. In this paper, the MPEG coding standards and on the basis of analysis of the characteristics, given a set of MPEG4 video surveillance system design, and implementation are integrated MPEG4 exposition, after the actual chemical application shows that the system performance stable, real good, do not need to assign someone to manage, scalability is also very good.

Remote Video Web Monitoring System Design of Port Coastal Ships Based on UDP

2014 ◽  
Vol 898 ◽  
pp. 747-750
Author(s):  
Zhi Peng Song
Keyword(s):  
Monitoring System ◽  
Early Warning ◽  
Coastal Management ◽  
Density Ratio ◽  
Video Data ◽  
Video Monitoring ◽  
Good Effect ◽  
Visual Monitoring ◽  
Monitoring Platform ◽  
The Web

In order to improve the monitoring efficiency of port coastal ship, and improve the ability of coastal management, the port coastal ships web remote video monitoring system is designed and realized. The GPRS/UDP technology is used to transmit the ship videos to the server in real time. The client terminal and visual monitoring terminal are established, and the ship monitoring personnel can enter the WEB monitoring platform with different permissions. The network browse module, scheduling module, monitoring terminal module are designed, the port coastal ships video data are monitored and processed, the automatic alarm module based on the density ratio is designed. The intelligent early warning of port coastal ships density is obtained. The application experiment is implemented on the port coastal entrance, experiment results show that this system can realize the remote video Web monitoring of ships and intelligent early warning, and it has good effect in application.

scholarly journals Image Processing Technology in Remote Monitoring and Intelligent Medical System

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Kongjun Bao ◽  
Yaoxi Bao
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
Digital Image ◽  
Remote Monitoring ◽  
Local Area Network ◽  
Local Area ◽  
Processing Technology ◽  
Area Network ◽  
Image Processing Technology ◽  
Image Monitoring

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 defects that the general monitoring system requires excessive intervention by monitoring personnel and low intelligence. After verification, the experimental results show that the proposed model can accurately and efficiently segment nonoverlapping cervical cell images, and compared with other existing models, this model has both higher segmentation accuracy and faster calculation speed. The application of multicast is still only in the laboratory or small local area network; with the further development of network technology, its application prospects will be very broad.

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