Desarrollo de un control de acceso a través del reconocimiento facial utilizando Raspberry Pi y una aplicación android
In this document, we try to show how we can use the facial recognition to protect information and things values, many different kinds of access control exist for example: keys, magnetics cards, and biometrics systems that use footprints, recognition eye retina, etc. The laboratories of Electronics E...
| Autor Principal: | Rivas Ortiz, Catherine Rossana |
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/14962 |
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| Sumario: |
In this document, we try to show how we can use the facial recognition to protect information and things values, many different kinds of access control exist for example: keys, magnetics cards, and biometrics systems that use footprints, recognition eye retina, etc. The laboratories of Electronics Engineering University Polytechnic Silesian they protect the anything devices through to use keys and people, many times, the people that open the door they are not in the building of laboratories, this is the reason for implementation of system recognition facial by open the door of automotive electronics labs. This project implements a control system using facial recognition skills, only authorized people for example teachers and assistants can go in to the labs, another kind is for protect the devices robberies, advantage is the send message to Mobil telephone through QT software. This system has a better advantage because it does not use keys, and people for security. It is impossible stolen or copy the keys. The algorithm employee for facial recognition is LBP (Local binary Patron) and classifier HAAR used OPEN CV libraries implemented in Raspberry-pi3 device. The system has an 80 percent of accuracy, this increase when we have many pictures in the image dictionary. |
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