Abstract
A portable real-time facial recognition system that is able to play personalized music based on the identified person’s preferences was developed. The system is called Portable Facial Recognition Jukebox Using Fisherfaces (FRJ). Raspberry Pi was used as the hardware platform for its relatively low cost and ease of use. This system uses the OpenCV open source library to implement the computer vision Fisherfaces facial recognition algorithms, and uses the Simple DirectMedia Layer (SDL) library for playing the sound files. FRJ is cross-platform and can run on both Windows and Linux operating systems. The source code was written in C++. The accuracy of the recognition program can reach up to 90% under controlled lighting and distance conditions. The user is able to train up to 6 different people (as many as will fit in the GUI). When implemented on a Raspberry Pi, the system is able to go from image capture to facial recognition in an average time of 200ms.
Highlights
Facial Recognition is a very difficult topic and computationally strenuous application
Source code was written in C++ as it is a faster computer language for real time systems
The OpenCV library was used for the computer vision functions and the Simple DirectMedia Layer (SDL) library was used for playing sound
Summary
Facial Recognition is a very difficult topic and computationally strenuous application. The theory is that in a higher dimensional dataset, most of the information can be described by a few components These components are called the principal components and are responsible for the most variance in the data [4].The Eigenfaces representation of faces uses this PCA method to train and store the model used for recognition. In the case that an external source (such as light) is generating the variance, the principle components may not contain much discriminative information at all To combat this issue, another class-specific reduction algorithm was developed by Sir R. With today’s technology and algorithms facial recognition is not reliable enough to be used for a true security system They can still be used for other purposes that do not require as high reliability such as playing personalized music or generating a face cartoon [7]. The paper is organized as follows: Section II will present the new FRJ system design, Section III will present the experimental results, Section IV will describe how to use the system, and Section V will present the conclusion remarks
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