Design of Hi3510-Based Embedded Wireless Video Monitoring System

2011 ◽  
Vol 189-193 ◽  
pp. 3605-3611
Author(s):  
Ying Zhan Yan ◽  
Ling Peng ◽  
Song Fa Huang
Keyword(s):  
Real Time ◽  
Video Data ◽  
Video Monitoring ◽  
Wireless Video ◽  
Data Encoding ◽  
Monitoring Applications ◽  
Real Time Transmission ◽  
Growth And Change ◽  
Transmission Speed ◽  
Constant Growth

To meet the needs of video monitoring applications, the paper researches and designs of Hi3510-based embedded wireless video monitoring systems.The systems uses H.264 for video data encoding, combining Hi3510 encoding API to adjust H.264 rate control dynamically. Based on real-time transmission control RTP / RTCP protocol, in order to achieve adaptability and guarantee the QoS of the real-time transmission, this paper presents variable constant growth and change constant reduction method to adjust the transmission speed dynamically. In addition, this paper processes the packet loss during transmission processing, trying to ensure the I-frame reliable transmission. To transplant DWL-G122 wireless network card, it can realize communication.

Research of Bus Video Monitoring System Based on WCDMA

2014 ◽  
Vol 543-547 ◽  
pp. 891-894
Author(s):  
Lian Jun Zhang ◽  
Shi Jie Liu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Transmission System ◽  
Video Data ◽  
Video Monitoring ◽  
Video Server ◽  
Real Time Transmission ◽  
Monitoring Center ◽  
Server System ◽  
Transmission Ability

The bus video monitoring system is composed by WCDMA transmission system, video server system, system monitoring center and outreach system. By WCDMA wireless transmission module achieving real time video data return, while using VPDN network technology. Using of the DVS video server and by WCDMA transmission system, the monitoring videos information will be transmitted to the monitoring center rapidly and in real time. The monitoring center can remotely monitor, manage, and dispatch the bus. The results demonstrating this system has good real time transmission ability.

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.

Information Real-Time Transmission Algorithm Based on Mobile Platform

2014 ◽  
Vol 631-632 ◽  
pp. 512-515
Author(s):  
Ai Ping Cai ◽  
Xin Zheng
Keyword(s):  
Online Learning ◽  
Real Time ◽  
Mobile Learning ◽  
Data Transmission ◽  
Mobile Terminal ◽  
Multimedia Data ◽  
Mobile Multimedia ◽  
Main Application ◽  
Real Time Transmission ◽  
Transmission Speed

the application of mobile learning is the main application of intelligent mobile terminal realizes on pattern, this paper focuses on the Android platform to realize mobile multimedia data real-time transmission, by optimizing the data transmission speed, to meet the learners' online learning, for subsequent teaching and interaction provides a good technical support.

Research of Mine Wireless Video Monitoring Sub-Station Based on WIFI

2012 ◽  
Vol 214 ◽  
pp. 605-609 ◽  
Author(s):  
Wen Li Lei ◽  
Xin Cheng Ren ◽  
Yan Hu Fan
Keyword(s):  
Cloud Computing ◽  
Access Point ◽  
Video Data ◽  
Video Monitoring ◽  
Network Technology ◽  
Wireless Video ◽  
Widespread Application ◽  
Computing Platform ◽  
Search Data ◽  
Super Computing

With the development of country's attention to safe production of mine, electronic technology and network technology begin to get widespread application in the mine exploration and monitoring. It has been brought forward a new method of mine wireless video monitoring sub-station based on WIFI wireless network technology, it send the collected video data to the ground monitoring equipment through wireless video capture terminals and wireless access point AP which has been installing in the mine tunnel, with a router connected to the cloud computing platform that enables remote monitoring terminal access, and it can intelligently analyze, search, data mining and other complex calculations by using of super-computing ability of cloud computing , in order to achieve the monitoring of mine production site.

Multi-functional coal mine safety system: visualisation of events (mining processes) form the miner's workplace

2021 ◽  
pp. 65-69
Author(s):  
A.V. Novikov ◽  
K.V. Panevnikov ◽  
I.V. Pisarev
Keyword(s):  
Real Time ◽  
Radio Channel ◽  
Video Data ◽  
Video Monitoring ◽  
Mine Safety ◽  
Control Panel ◽  
Mobile Video ◽  
Monitoring Equipment ◽  
Video Cameras ◽  
Mine Workings

The paper reviews the use of mobile video monitoring equipment in coal mines. The most common option is the use of stationary video cameras with real-time video streaming to the mine dispatcher's control monitor via cables. Despite all the benefits of the information obtained, this method has certain limitations due to the specific features of the mine atmosphere, i.e. high humidity and dust levels, as well as the impossibility to organize video monitoring over the entire length of the mine workings. Therefore, mobile video monitoring equipment, both portable and vehicle-based, is efficient supplement to the stationary video cameras. The portable devices include smart phones and the battery-powered head lights with an integrated video camera, which have recently become very popular. In both cases, an important consideration, in addition to the actual video capturing, is the issue of transmitting video data to the top level, i.e. to the mine dispatcher's control panel. The following options are possible: connection to the mine wireless network hotspots via radio channel, reading the information in the lamp rooms when leaving the mine and real-time broadcasting from the mine to the top level. The assumption is made that in order to implement the fastest (and the most efficient) way that works without delays between capturing and transmitting of video data to the daylight surface, such as the latter of the options above, a communications infrastructure based on wireless and cable networks needs to be deployed in the mine workings. The required infrastructure is present in a number of systems designed to locate miners inside the mine workings as part of a multifunctional security system, which enables continuous radio communication of individual devices with infrastructure nodes and, therefore, real-time video data transmission.

Research on Video Encryption and Privacy Protection in Cloud Monitoring System Based on H.264

2019 ◽  
Vol 12 ◽  
Author(s):  
Qingtao Wu ◽  
Zaihui Cao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Data ◽  
Encryption Algorithm ◽  
Management Tool ◽  
Video Encryption ◽  
Wireless Multimedia ◽  
Monitoring Technology ◽  
Security Issues ◽  
Cloud Monitoring

: Cloud monitoring technology is an important maintenance and management tool for cloud platforms.Cloud monitoring system is a kind of network monitoring service, monitoring technology and monitoring platform based on Internet. At present, the monitoring system is changed from the local monitoring to cloud monitoring, with the flexibility and convenience improved, but also exposed more security issues. Cloud video may be intercepted or changed in the transmission process. Most of the existing encryption algorithms have defects in real-time and security. Aiming at the current security problems of cloud video surveillance, this paper proposes a new video encryption algorithm based on H.264 standard. By using the advanced FMO mechanism, the related macro blocks can be driven into different Slice. The encryption algorithm proposed in this paper can encrypt the whole video content by encrypting the FMO sub images. The method has high real-time performance, and the encryption process can be executed in parallel with the coding process. The algorithm can also be combined with traditional scrambling algorithm, further improve the video encryption effect. The algorithm selects the encrypted part of the video data, which reducing the amount of data to be encrypted. Thus reducing the computational complexity of the encryption system, with faster encryption speed, improve real-time and security, suitable for transfer through mobile multimedia and wireless multimedia network.

Real-Time Monitoring Applications for the Power Grid under Geomagnetic Disturbances

2020 ◽  
Author(s):  
Cecilia Klauber ◽  
Komal S. Shetye ◽  
Zeyu Mao ◽  
Thomas J. Overbye ◽  
Jennifer Gannon ◽  
...  
Keyword(s):  
Real Time ◽  
Power Grid ◽  
Real Time Monitoring ◽  
Geomagnetic Disturbances ◽  
Monitoring Applications

scholarly journals Low-Cost Embedded System Using Convolutional Neural Networks-Based Spatiotemporal Feature Map for Real-Time Human Action Recognition

2021 ◽  
Vol 11 (11) ◽  
pp. 4940
Author(s):  
Jinsoo Kim ◽  
Jeongho Cho
Keyword(s):  
Embedded System ◽  
Real Time ◽  
Action Recognition ◽  
Processing Speed ◽  
Recognition Accuracy ◽  
Low Cost ◽  
Human Action Recognition ◽  
Human Action ◽  
Video Data ◽  
Feature Maps

The field of research related to video data has difficulty in extracting not only spatial but also temporal features and human action recognition (HAR) is a representative field of research that applies convolutional neural network (CNN) to video data. The performance for action recognition has improved, but owing to the complexity of the model, some still limitations to operation in real-time persist. Therefore, a lightweight CNN-based single-stream HAR model that can operate in real-time is proposed. The proposed model extracts spatial feature maps by applying CNN to the images that develop the video and uses the frame change rate of sequential images as time information. Spatial feature maps are weighted-averaged by frame change, transformed into spatiotemporal features, and input into multilayer perceptrons, which have a relatively lower complexity than other HAR models; thus, our method has high utility in a single embedded system connected to CCTV. The results of evaluating action recognition accuracy and data processing speed through challenging action recognition benchmark UCF-101 showed higher action recognition accuracy than the HAR model using long short-term memory with a small amount of video frames and confirmed the real-time operational possibility through fast data processing speed. In addition, the performance of the proposed weighted mean-based HAR model was verified by testing it in Jetson NANO to confirm the possibility of using it in low-cost GPU-based embedded systems.

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