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.

Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.

Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH

 

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter