Scientific area: Informática Industrial
Automotive Facial Driver Recognition
Submited 2017-01-16
Student: Pedro Nelson Sampaio Barbosa       Number: 65366       Email: a65366@alunos.uminho.pt
Start date: 14/09/2015   

Supervisor:
Name: Jorge Miguel Nunes dos Santos Cabral
Email: jcabral@dei.uminho.pt   

Description:

Dependency on technology is something quite real when it comes to talking about the automotive world. Currently several automated systems can be found in cars: control of the lights, control of the seats, control of the brakes and the list goes on. These systems enhance the safety of drivers but raise other issues that need to be addressed.

In the automotive market, when trying to stand out among such a vast market, some brands seek to attract consumers through the originality and insertion of options never seen in their vehicles. Currently many brands present in the market, vehicles where it is possible to make changes, depending on the driver's taste, such as seat height, radio stations, steering wheel height, among others. But with this level of changes a question arises: will the driver have to make these changes every time he uses the car? The answer is no, because if you somehow perform a driver's identification, the car system can load the personal costumizations towards that particular driver.

In order to answer this need, this work intends to realize the driver's recognition automatically and with the minimum of hindrance. For this purpose it is intended to acquire an image of the driver's face in order to know his identification. This system will recognize the driver and send his identification to an external system, so that this second system can make the load of the settings. The system to build in this dissertation proposes to be small, to realize the recognition quickly and to inform the identity of the driver in front of him, to an external system. The process necessary for the use of this system must be simple, and allow the graphic visualization of the whole process that is taking place.

 


Keywords:
Computer vision; Facial recognition; Automotive

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