Thesis Details

Konfigurovatelná vestavná foto/videopast se záznamem dat a samočinnou adaptací na okolí

Master's Thesis Student: Výborný Filip Academic Year: 2014/2015 Supervisor: Strnadel Josef, Ing., Ph.D.
English title
Configurable Embedded Photo/Video Trap with Storing Data and Self Adaptation to Surroundings
Language
Czech
Abstract

This diploma thesis deals with a design and construction of an embeded camera trap with a video recording and night vision support, which is able to self adapt to surroundings. The device is based on the Raspberry Pi platform and configurable by touch screen control with a user-friendly graphical interface. Also the web-application for easy remote administration was developed in Ruby On Rails framework. The camera trap was built and successfully tested under the real conditions. There are also typical application cases and requirements for camera trap construction described in this thesis.

Keywords

photo trap, video trap, embedded system, touch control, Raspberry Pi, RPi, Raspbian, night vision, IR camera, Pi NoIR, ARM, Upstart, Pygame, Ruby on Rails, RoR

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade B
Date
24 June 2015
Reviewer
Šimek Václav, Ing.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Lucká Mária, prof. RNDr., Ph.D. (FIIT STU), člen
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Citation
VÝBORNÝ, Filip. Konfigurovatelná vestavná foto/videopast se záznamem dat a samočinnou adaptací na okolí. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Strnadel Josef. Available from: https://www.fit.vut.cz/study/thesis/16945/
BibTeX 
@mastersthesis{FITMT16945,
    author = "Filip V\'{y}born\'{y}",
    type = "Master's thesis",
    title = "Konfigurovateln\'{a} vestavn\'{a} foto/videopast se z\'{a}znamem dat a samo\v{c}innou adaptac\'{i} na okol\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/16945/"
}

Theses

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