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Creating Augmented Reality Solutions in Enterprise Verticals

Pat Narendra

Innovator

Zebra Technologies Inc

Pat Narendra is an innovator in the Zebra Enterprise Mobile Computer Emerging Technology organization, where he creates solutions with augmented reality, mobile locationing, deep and machine learning in Zebra products and solutions. Pat has a PhD in EE/CS from Purdue University (his thesis on Pattern Recognition and Machine Learning resulted in over a dozen refereed journal articles with over 4000 citations) and spent his early career in computer vision and signal processing research in Honeywell. Mid career, he obtained an MBA in Strategy from University of Minnesota. He launched his product development career in Motorola Mobility, Motorola Solutions, and Zebra where he has created and launched over a dozen products (and 9 granted patents). Pat is a hands on business and technical architect, uniquely at home in prospecting for customer ROI and coding up prototype solutions using the latest augmented reality frameworks on Zebra mobile computers and machine learning platforms such as Tensorflow.

Abstract

Smatphone AR frameworks have brought AR creation within every developer's reach. The consumer AR app space is saturated with games, novelty, furniture placement and measure apps. Meanwhile, almost every mobile workflow in the Enterprise vertical can benefit from AR -- by delivering instructions and directions at the real world point of interaction to the user. This talk takes you through building on the smartphone AR frameworks to surmount the hard obstacles that face an Enterprise AR solution: Global Persistence, consistency and robustness and perhaps the most important need: hiding the geekiness of AR from the user! We illustrate with live app examples of enterprise AR apps developed for Retail, Warehouse, Transportation and Logistics use cases. Here is a short warehouse picking video illustrating just one of the many use cases addressed in this talk:

Intermediate

Session

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