Case Study: OpenCV achieves real-time face detection and recognition on Google Glass with Softeq

OpenCV - Customer Case Study

SOFTEQ built an OpenCV-powered face recognition demo app for Google Glass to tackle the challenge of performing real-time face detection and recognition on the device. The goal was to use a predefined database and OpenCV’s Fisher face recognition algorithms to detect faces in camera preview frames and identify them despite the hardware and input constraints of Google Glass.

SOFTEQ’s R&D team implemented a camera application that runs OpenCV on each preview frame, sends newly detected faces for processing, converts faces to the square grayscale format required by the Fisher algorithm, and publishes recognized identities on the Glass display. The solution successfully demonstrated reliable, real-time face detection and recognition on Google Glass, validating the platform for face-recognition use cases and showcasing SOFTEQ’s early expertise with the device.

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