Computer Vision / Video Analytics

Share Your Science: The Future of Facial Recognition for Video Surveillance

Javier Rodriguez Saeta, CEO of Herta Security, shares how they’re using NVIDIA GPUs to train deep neural networks for pattern recognition to help with security at airports, stadiums and train stations.
Herta Security’s high performance video-surveillance solution for facial recognition is designed to identify people in crowded and changing environments in real-time. Their technology makes it possible to record subjects automatically through on-the-fly video capture, and works correctly even when the subject is wearing glasses, a hat, or their face is partially concealed. It even works with changes in facial expression, difficult lighting conditions and slight rotations of the face.

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