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Face recognition (that became all the rage with the introduction of the iPhone X) is a relatively new technology in mobile app development whose depths still need to be explored completely. Furthermore, if you're thinking about including face recognition in your mobile app, it's important to check all the available research and resources on the subject. And so, what follows is some advice that could help make the task of building an app with facial recognition much easier.

We created a standalone face recognition system for access control. Users enroll in the system with the push of a button and can then log in with a different button. Face recognition uses an eigenface method. Initial testing indicates an 88% successful login rate with no false positives. There are currently commercially available systems for face recognition, but they are bulky, expensive, and proprietary. Our goal was to create a portable low-cost system. Our design consists of an Atmel ATmega644 8-bit microcontroller, a C3088 camera module with an OmniVision OV6620 CMOS image sensor, Atmel's AT45DB321D Serial Dataflash, a Varitronix MDLS16264 LCD module for output, a 9-volt battery, and a small wooden structure for chin support.

OpenCV is a Python open-source library, which is used for computer vision in Artificial intelligence, Machine Learning, face recognition, etc.

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