Real-Time Face Search in Video
Associated with Adak AI, 2018
This project is writen in Python, C++
A deep learning system for locating a target face across video content, combining face recognition with efficient inference.
The pipeline reaches approximately 60 frames per second on Full HD video using a single GTX 1080 Ti, which required attention to recognition quality and computational performance together rather than in isolation. A companion project targeted the opposite end of the hardware spectrum, running face recognition on a Raspberry Pi with an explicit time-versus-quality trade-off.
The problem is closer to query-by-example retrieval than to frame-level classification, since it involves finding semantically matching instances across an entire video.