A novel video monitoring system in high-speed railway

Author(s):  
Haoyi Shi ◽  
Hao Wu ◽  
Hengliang Tang ◽  
Shiya Wen
2011 ◽  
Vol 291-294 ◽  
pp. 2823-2828
Author(s):  
Jin Qing Liu ◽  
Qun Zhen Fan

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.


2015 ◽  
Author(s):  
PING WANG ◽  
JIELING XIAO ◽  
XI SHENG ◽  
DAYONG QIN

2020 ◽  
Author(s):  
Ramesh Madipally ◽  
Sheela Nair L ◽  
Rui Taborda

<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>


2013 ◽  
Vol 655-657 ◽  
pp. 777-780
Author(s):  
Chang Song Yang ◽  
Wang Ping Zhou ◽  
Qi Wang

Meteorological disasters seriously endanger bullet trains running in high speed, so this paper puts forward a design of meteorological monitoring system for high-speed railway (MMSHSR). The system monitors meteorological disasters to ensure bullet train to run safely and efficiently. Consisting of automatic weather stations (AWS), GPRS network, Internet, monitoring center, LAN, etc., this system automatically collected meteorological parameters, sent them to the GPRS network by the GPRS module. Receiving terminal received these parameters and sent to the monitoring center, which processed these parameters, sent them to railway departments through Internet which managed the train operation according to these parameters, to improve the traffic safety and efficiency. The paper discusses in detail the overall design, AWS hardware design and the system software design.


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