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Title: TimeFace: Sistema de control de temps laboral
Author: Marín Silvero, Albert
Director: Garrigues Olivella, Carles
Tutor: Escuer Latorre, David
Almirall López, Jordi
Keywords: face recognition
artificial intelligence
Issue Date: 1-Jan-2021
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The main purpose of this end-of-degree work is to develop and get an application for mobile Android devices that provide users with the functionality of record entries and exits from the work environment in order to identify and recognize themselves. Since 12 May 2019, a decree has been aproved to force companies to control the number of hours their employees work by recording the time of entry and exit . We are aware of the current situation which we living, in the midst of the Covid 19 pandemic, with many people forced to move their work environment to their home, we are in a good moment to implement this kind of system, adopting the new technologys. As a development model we have chosen: Android Studio and Kotlin language as development environment using encapsulated libraries in the app with Firebase, MLKit or Tensorflow for the detection and facial recognition, with NoSQL data bases of Firebase and Scrum as work methodology.
Language: Catalan
Appears in Collections:Bachelor thesis, research projects, etc.

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