New GPU technologies are fueling a dramatic growth in the use of video surveillance and video analytics around the globe. The emergence of ultra-high resolutions and massive video content calls for faster and more accurate ways to accelerate facial analysis. Herta Security develops bleeding-edge facial recognition and facial marketing solutions, excelling unconstrained crowded scenarios.

By attending this webinar, you'll learn how: 1) GPUs make it possible to identify faces among moving crowds in 4K videos faster than real-time, and in HD up to 300 FPS; 2) Deep Learning keeps on pushing forward the long standing boundaries on facial analysis; and 3) A GPUs powered edge and backend processing creates new market solutions and opportunities in security and retail analysis.

Advancing Facial Analysis & Recognition Through GPU Acceleration

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Presenter:

Carles Fernandez

Presenter Bio:

Carles Fernández Tena received his B.S. in Telecommunication Eng. and M.S. in Language and Speech from the Technical University of Catalonia (UPC) in 2005. He received an M.S. in Computer Vision and AI from the Autonomous University of Barcelona (UAB) in 2008, where he obtained his Ph.D. cum laude in 2010, receiving the 2010 Extraordinary Ph.D. Award. He has published more than 40 scientific articles in international journals and conferences. Currently he leads the research team at Herta Security. His research interests include Biometrics, Computer Vision, and Machine Learning, particularly unconstrained facial analysis in image and video.