Mobilní aplikace pro rozpoznání leukokorie ze snímku lidského obličeje

English title

Mobile App for Recognition of Leukocoria in an Image of Human Face

Language

Czech

Abstract

The goal of this thesis is to design and implement a multiplatform multilingual mobile application for detecting leukocoria in an image of human face for iOS and Android platforms. Leukocoria is a whitish light of the pupil, which can be seen on the photo when the flash is used. Early detection of this symptom can save human eyesight. The application itself allows to analyze a user's photo and detect the presence of leukocoria. The goal of the application is to analyze eyes of the human, from which the mobile application name - Eye Check is derived. React Native framework was used to create a multiplatform mobile application. The Dlib library was chosen for human face and eye detection, the OpenCV library for working with the photo. The convolutional neural network was used to classify the eyes for the possible presence of leukocoria. Client-Server communication is solved using the REST architecture. The result is a mobile application that detects leukocoria and allerts the user to visit his doctor if leukocoria is detected.

Keywords

Mobile application, Eye Check, Leukocoria, iOS, Android, React Native, Dlib, OpenCV, REST, Django REST framework, Convolutional neural network, Keras, Tensorflow

Department

Department of Computer Graphics and Multimedia FIT BUT

Degree Programme

Information Technology, Field of Study Information Systems

Files

Status

defended, grade A

Date

19 June 2019

Reviewer

Kodym Oldřich, Ing., Ph.D.

Committee

Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Pavlík Jan, Mgr., Ph.D. (DADM FME BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen

Citation

HŘEBÍČEK, Pavel. Mobilní aplikace pro rozpoznání leukokorie ze snímku lidského obličeje. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-19. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/21524/

BibTeX

@mastersthesis{FITMT21524,
    author = "Pavel H\v{r}eb\'{i}\v{c}ek",
    type = "Master's thesis",
    title = "Mobiln\'{i} aplikace pro rozpozn\'{a}n\'{i} leukokorie ze sn\'{i}mku lidsk\'{e}ho obli\v{c}eje",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21524/"
}