Abstract:
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.
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.
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Topics:
AEC Industries, Deep Learning and AI, AI Startup
Event:
GTC Silicon Valley