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AI

Real-Time Face Tracking.

Real-time face tracking that measures a user’s distance and head angle to drive a talking avatar — benchmarked to the fastest, most stable pipeline.

PythonOpenCVMediaPipeTensorFlow
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Real-Time Face Tracking — hero
The work

We researched the most cost-efficient, technically optimal approach to real-time face tracking — measuring distance and head angle relative to the camera — to power the perception layer of an AI video tutor.

We prototyped with OpenCV alone, then benchmarked OpenCV + TensorFlow against OpenCV + MediaPipe. MediaPipe won on accuracy, stability and speed, and we exposed it behind a clean API for the wider AI stack. Every choice was measured, not guessed.

Inside the product
Real-Time Face Tracking — screen 2
Real-Time Face Tracking — screen 3
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