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

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>

2020 ◽  
Vol 2 (10) ◽  
Author(s):  
Khushboo Qayyum ◽  
Idrees Zaman ◽  
Anna Förster

Abstract In oceans, fish usually live in an environment that is best suited for their growth. When these fish are introduced into man-made environment, e.g. in mariculture and aquaculture set-ups, the physical parameters might stray from their ideal values, resulting in improper growth and undesired outcomes. Hence, to prevent these undesirable outcomes, continuous monitoring of the physical parameters of the water such as pH, temperature and dissolved oxygen is required. In this work, we present a system called H2O sense, which continuously monitors the physical parameters of the water in tanks and alerts the user in case the values deviate from ideal. We use only low-power, low-cost hardware and open-source development tools, which makes the system easily applicable to various settings. The deployment of our system in the Maritime Laboratory of the University of Namibia shows its efficacy. Furthermore, we evaluate in detail the performance of our system and discuss its applicability in similar challenged environments.


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.


2020 ◽  
Vol 165 ◽  
pp. 02029
Author(s):  
Xiaojun Liu ◽  
Hongyuan Wen ◽  
Ao Li ◽  
Di Xu ◽  
Zhengxuan Hou

Aiming at the shortcomings of the traditional fixed atmospheric environment monitoring system, such as low flexibility, limited monitoring space, and the limitation of the distance of the unmanned aerial vehicle (UAV) atmospheric environment monitoring based on the data transmission module and the limited amount of data transmitted online, the multi-rotor UAV atmospheric environment monitoring system transmitted by 4G network is designed, transmits the atmospheric data collected by the airborne atmospheric detection sensors to the network cloud server through the 4G network, and realizes real-time monitoring and analysis of atmospheric data on the data monitoring platform, combined with the transparent cloud and cloud configuration technology. Firstly, the shortcomings of traditional ground monitoring stations and drone monitoring methods were analyzed, and the overall design of the system is given; then, the software and hardware design of the system were expounded in detail; finally, experiments were carried out in in the university town of Hailing area of Taizhou city. The research results can effectively expand the working space and methods of traditional atmospheric environment monitoring and provide new ideas and methods for the research of environmental monitoring UAV.


2010 ◽  
Vol 35 (14) ◽  
pp. 1712-1719 ◽  
Author(s):  
M. A. Nieto ◽  
B. Garau ◽  
S. Balle ◽  
G. Simarro ◽  
G. A. Zarruk ◽  
...  

Author(s):  
Gaurav Mattey ◽  
Lava Ranganathan

Abstract Critical speed path analysis using Dynamic Laser Stimulation (DLS) technique has been an indispensable technology used in the Semiconductor IC industry for identifying process defects, design and layout issues that limit product speed performance. Primarily by injecting heat or injecting photocurrent in the active diffusion of the transistors, the laser either slows down or speeds up the switching speed of transistors, thereby affecting the overall speed performance of the chip and revealing the speed limiting/enhancing circuits. However, recently on Qualcomm Technologies’ 14nm FinFET technology SOC product, the 1340nm laser’s heating characteristic revealed a Vt (threshold voltage) improvement behavior at low operating voltages which helped identify process issues on multiple memory array blocks across multiple cores failing for MBIST (Memory Built-in Self-test). In this paper, we explore the innovative approach of using the laser to study Vt shifts in transistors due to process issues. We also study the laser silicon interactions through scanning the 1340nm thermal laser on silicon and observing frequency shifts in a high-speed Ring Oscillator (RO) on 16nm FinFET technology. This revealed the normal and reverse Temperature Dependency Gate voltages for 16nm FinFET, thereby illustrating the dual nature of stimulation (reducing mobility and improving Vt) from a thermal laser. Frequency mapping through Laser Voltage Imaging (LVI) was performed on the Ring Oscillator (RO) using the 1340nm thermal laser, while concurrently stimulating the transistors of the RO. Spatial distribution of stimulation was studied by observing the frequency changes on LVI.


2019 ◽  
Vol 13 (2) ◽  
pp. 174-180
Author(s):  
Poonam Sharma ◽  
Ashwani Kumar Dubey ◽  
Ayush Goyal

Background: With the growing demand of image processing and the use of Digital Signal Processors (DSP), the efficiency of the Multipliers and Accumulators has become a bottleneck to get through. We revised a few patents on an Application Specific Instruction Set Processor (ASIP), where the design considerations are proposed for application-specific computing in an efficient way to enhance the throughput. Objective: The study aims to develop and analyze a computationally efficient method to optimize the speed performance of MAC. Methods: The work presented here proposes the design of an Application Specific Instruction Set Processor, exploiting a Multiplier Accumulator integrated as the dedicated hardware. This MAC is optimized for high-speed performance and is the application-specific part of the processor; here it can be the DSP block of an image processor while a 16-bit Reduced Instruction Set Computer (RISC) processor core gives the flexibility to the design for any computing. The design was emulated on a Xilinx Field Programmable Gate Array (FPGA) and tested for various real-time computing. Results: The synthesis of the hardware logic on FPGA tools gave the operating frequencies of the legacy methods and the proposed method, the simulation of the logic verified the functionality. Conclusion: With the proposed method, a significant improvement of 16% increase in throughput has been observed for 256 steps iterations of multiplier and accumulators on an 8-bit sample data. Such an improvement can help in reducing the computation time in many digital signal processing applications where multiplication and addition are done iteratively.


2020 ◽  
Vol 36 (16) ◽  
pp. 4527-4529
Author(s):  
Ales Saska ◽  
David Tichy ◽  
Robert Moore ◽  
Achilles Rasquinha ◽  
Caner Akdas ◽  
...  

Abstract Summary Visualizing a network provides a concise and practical understanding of the information it represents. Open-source web-based libraries help accelerate the creation of biologically based networks and their use. ccNetViz is an open-source, high speed and lightweight JavaScript library for visualization of large and complex networks. It implements customization and analytical features for easy network interpretation. These features include edge and node animations, which illustrate the flow of information through a network as well as node statistics. Properties can be defined a priori or dynamically imported from models and simulations. ccNetViz is thus a network visualization library particularly suited for systems biology. Availability and implementation The ccNetViz library, demos and documentation are freely available at http://helikarlab.github.io/ccNetViz/. Supplementary information Supplementary data are available at Bioinformatics online.


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