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.

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.

Real-Time Bus Video Monitoring System Based on 3G Network

2013 ◽  
Vol 380-384 ◽  
pp. 790-793
Author(s):  
Min Feng ◽  
Jie Sun ◽  
Yin Yang Zhang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Transmission ◽  
Video Data ◽  
Video Monitoring ◽  
Network Bandwidth ◽  
Real Time Traffic ◽  
3G Network ◽  
Transmission Quality ◽  
Video Transmission Quality

According to some bottleneck problems of the communication network bandwidth in wireless video transmission, a design scheme of real-time traffic video monitoring system based on 3G network is put forward in this paper. The design of hardware and the software realization of the system process are mainly introduced. TMS320DM8168 is selected to build the hardware platform in this system. H.264 video encoder is integrated internally. The real-time transmission of video data is sent to the remote monitoring center through the 3G network to improve the video transmission quality. The system meets the requirements of video transmission applied in automobiles.

PI-COSMOS: An Open Source Python based High Speed Coastal Video Monitoring System

2020 ◽  
Author(s):  
Ramesh Madipally ◽  
Sheela Nair L ◽  
Rui Taborda
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
High Speed ◽  
Continuous Monitoring ◽  
Video Monitoring ◽  
Monitoring Methods ◽  
Coastal Monitoring ◽  
Speed Performance ◽  
The University ◽  
Coastal Research

<p>In recent years, Coastal video monitoring methods have been widely accepted tools for continuous monitoring of complex coastal processes. In this paper, the progress made on a new python based coastal video monitoring system, PI-COSMOS (Portuguese Indian COaStal MOnitoring System) which is being developed and tested jointly in India and Portuguese coasts is presented. PI-COSMOS system aims at providing open source, high speed video monitoring toolboxes for the coastal community that can be used anywhere in the world. PI-COSMOS is camera independent system and comprises four modules viz. PI-Calib for camera calibration, RectiPI for video imagery rectification, PI-ImageStacks for image product and pixel product generation and PI- DB for efficient database management. The applicability of PICOSMOS system under different coastal environment conditions has been tested using the data collected from the India as well as the Portugal coast. The results from one of the Indian stations installed at Kozhikode beach, Kerala, India situated at 11°15'14.12" N, 75° 46'15.40" E are presented here to demonstrate the capabilities of the newly developed PI-COSMOS system. the performance of PI-COSMOS is evaluated by conducting a comparative study among PICOSMOS and existing video monitoring toolboxes like UAV processing toolbox provided by Coastal Research Imaging Network and RectifyExtreme provided by the University of Lisbon and it is found that the processing speed of PI-COSMOS is very much high i.e. more than 5 times when compared to UAV processing toolbox and RectifyExtreme.  The high speed performance, camera independent nature and easiness in the operation made PI-COSMOS as the simplest and advanced open source video monitoring system.</p><p> </p>

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.

Design and Implementation of Video Monitoring System Based on Linux

2011 ◽  
Vol 187 ◽  
pp. 598-602
Author(s):  
Hong Bo Yu ◽  
Hui Li ◽  
Heng Jun Zhu ◽  
Bai Rui Tao
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Image Data ◽  
Image Transmission ◽  
Image Display ◽  
Video Monitoring ◽  
Video Server ◽  
Stable Property ◽  
Design And Implementation ◽  
Live Image

It s a design of video server based on embed Linux system. The platform is integrated with boa server, to realize the dynamic interactivity between remote users and web monitoring server by CGI program. Get the live image data by USB cameras, then transferring the image to PC by internet. By that means, the image display can be realized through any PC which is connected to net. The system realizes remote monitoring and image transmission by its own TCP/IP protocol, which promises the flexibility, sharpness and stable property.

scholarly journals A Smart Baby Monitoring System an IOT based Smart Cradle System

2021 ◽  
Vol 9 (VI) ◽  
pp. 635-642
Author(s):  
Swati Dhake
Keyword(s):  
Monitoring System ◽  
Mobile Phones ◽  
High Speed ◽  
Video Observation ◽  
Observation System ◽  
Safe Operation ◽  
Live Video ◽  
Turn On ◽  
State Of Affairs ◽  
System Paradigm

Availability of high speed web and wide use of mobile phones ends up in gain the recognition to IOT. The current variety of operating mothers has greatly exaggerated. This paper presents the planning of good Cradle that supports the planning of good Cradle that supports such Video observation. The Cradle swings mechanically on detection of baby cry sound. later on, baby care has become a daily challenge for several families. Thus, most parents send their babies to their grandparent’s house or to baby care homes. However, the oldsters cannot ceaselessly monitor their babies’ conditions either in traditional or abnormal things. Therefore, a web of Things-based Baby Monitoring System is projected as Associate in Nursing economical and low-priced IOT-based system for observation in real time. We also providing a live video police work for our system that plays a key role in providing higher baby care whereas oldsters square measure away. within the designed system. The projected system exploits sensors to watch the baby's very important parameters, such as ambient temperature and wetness sensing, moisture, and crying, vaccination remainder, the system design consists of a baby cradle that may mechanically swing employing a motor once the baby cries. oldsters can even monitor their babies condition through Associate in Nursing external internet camera and turn on the lullaby toy situated on the baby cradle remotely. The proposed system paradigm is invented and tested to prove its effectiveness in terms of price and ease and to ensure safe operation to change the baby-parenting anyplace and anytime through the network. projected system provides Associate in Nursing alarm once the smoke is detected, therefore if there's fireplace then oldsters will reach to their infants. Finally, the baby observation system is tried to figure effectively in observation the baby's state of affairs and encompassing conditions according to the paradigm

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.

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