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A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis

Krishnan, Niranjan Rao
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706

Abstract Details

2019, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
Given the rapid advances in development of unmanned aerial vehicles (UAV), employment of drones in various business functions becomes reasonable and affordable. Usage of drones as data collection tools will give us access to a new set of geo-referenced images and videos that were not easily accessible in the past. The ultimate objective of this web based platform for data processing workflows, from here on referred to as the common operating platform, is to enable users to archive, process and visualize aerial data without a need for advanced hardware and software locally. This work details the development of the the common operating platform which consist of a web-based frontend and a backend. The frontend is a web app developed based on Django, Twitter Bootstrap and Javascript where the user authenticates, uploads data, submit processing tasks and visualizes the results. The back end, developed using Python 3, is where data is being stored and various processing tasks are being done based on commercial(Pix4D), open source(OpenDroneMap) and custom(Traffic Monitoring) processing engines. First, the intricacies of the data processing workflow is discussed and this includes diving into detail the various steps related to processing workflows using proprietary, open software and custom software. Second, procedures for integrating commercial processing engines as well as development of the in house traffic parameter extraction system will be shown and the result of running various case studies and their processing performance will be discussed. And finally, the system architecture design and implementation will be detailed given the scalability, modularity,extensibility and reliablity requirements will be discussed. The idea is to have a secure system, which is accessible to a broad audience, that can receive and service all of their processing requirements. In doing so, it dismisses the need for an uninitiated audience to install highly specialized software on their personal computers as well as relieves the need for them to maintain sophisticated hardware.
Arthur Helmicki, Ph.D. (Committee Chair)
Victor Hunt, Ph.D. (Committee Member)
Nan Niu, Ph.D. (Committee Member)
104 p.
Computer Science
Web based platform; software engineering; computer vision; Data Processing; Aerial Data Analysis

Recommended Citations

Citations

  • Krishnan, N. R. (2019). A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706

    APA Style (7th edition)

  • Krishnan, Niranjan Rao. A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706.

    MLA Style (8th edition)

  • Krishnan, Niranjan Rao. "A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706

    Chicago Manual of Style (17th edition)

ucin1562842713394706
794
© 2019, some rights reserved.Creative Commons License A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis by Niranjan Rao Krishnan is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.