Wearable system-on-module for prosopagnosia rehabilitation

This paper concerns with designing a wearable system for prosopagnosia rehabilitation. The system performs a real-time face recognition application that runs on an autonomous embedded platform built on an eyewear. The prototype involves a single system-on-module such as Raspberry Pi Compute Module and the Raspberry Pi Camera attached to a custom designed PCB with HDMI output, power supply input, Raspberry Pi Camera Module input, microUSB and composite video output are implemented using a custom designed I/O board. The facial recognition application performance is comparable to the identical implementation initial based on the OpenCV running on a PC.