Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Thermal Imaging Platform for Drones: Cost-effective localization of forest fires
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

A device for identifying forest fires in an early stage has been developed during the course of this project. Attached to a drone, this prototype will provide a live-stream to a web server displaying a blended frame, made of a thermographic image showing thermal radiation and a regular photography with the visible light. The platform consists of a small single-boarded computer, a thermal camera sensor and a regular camera module. All powered by a power bank and fitted into a custom made 3D printed plastic case. At startup the computer automatically executes scripts written in Python, initializing its sensor components and processes the captured images which finally gets transmitted to a live-stream via a web server connection. Everything described above worked well, but originally the intent was for the web interface to provide a map with the current location coordinates of the drone. Since a module for mobile communication with support for GPS was not acquired, any implementation of such kind was impossible. However, several drone models already possess the feature to obtain such coordinates.

Place, publisher, year, edition, pages
2019. , p. 22
Series
TVE-F ; 19022
Keywords [en]
Thermal, thermal camera, forest fire, forest fires, fire, fires, raspberry pi, drones, drone
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:uu:diva-385834OAI: oai:DiVA.org:uu-385834DiVA, id: diva2:1326061
Educational program
Master Programme in Engineering Physics
Supervisors
Examiners
Available from: 2019-08-09 Created: 2019-06-17 Last updated: 2019-08-09Bibliographically approved

Open Access in DiVA

fulltext(5594 kB)3992 downloads
File information
File name FULLTEXT01.pdfFile size 5594 kBChecksum SHA-512
196c433ffb62dc6594001b7b3359206c34093b2ae599cf04b75d4e3417030aae05f84089b432b55a71e717787c3d4b813bb38587c6848b79ba895379dd883092
Type fulltextMimetype application/pdf

By organisation
Department of Engineering Sciences
Embedded Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 3993 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 893 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf