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2017 GTC San Jose

S7575 - From Cracks to Hard Hats: Focusing on Industrial Computer Vision

Session Speakers
Session Description

We'll present, in a case study driven presentation, specific examples of how GPU-enabled deep neural networks are powering new methods for analyzing the content of photos and videos from industrial contexts. First, we'll present a collaboration between Smartvid.io and Engineering News-Record, the leading publication in the architecture, engineering, and construction vertical. This ongoing initiative leverages computer vision techniques and semantic approaches to help identify and indicate safe and unsafe situations in jobsite photos. Second, we'll present a collaboration with Arup, a London-based engineering firm, on the use of specific classifiers to localize and measure cracks and related defects in infrastructure.


Additional Session Information
All
Talk
AEC Industries AI Startup Deep Learning and AI
Architecture / Engineering / Construction Energy / Oil & Gas Software
25 minutes
Session Schedule