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GTC ON-DEMAND

Presentation
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Abstract:

Learn about the challenges, experiments, and innovations involved in delivering the smart retail stores of the future. A significant obstacle to retail computer vision systems is developing AI solutions for existing brick-and-mortar, as opposed to a purpose-built smart store. We'll dive into our inference results and discuss how they were influenced by sensor size, sensor placement, PPI, neural network architecture, and GPU/compute hardware.

Learn about the challenges, experiments, and innovations involved in delivering the smart retail stores of the future. A significant obstacle to retail computer vision systems is developing AI solutions for existing brick-and-mortar, as opposed to a purpose-built smart store. We'll dive into our inference results and discuss how they were influenced by sensor size, sensor placement, PPI, neural network architecture, and GPU/compute hardware.

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Topics:
Consumer Engagement & Personalization, AI & Deep Learning Research, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9592
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