Sam's background is in industrial automation, software development, security, and storage. Over the past 10 years Sam has focused on protecting critical US infrastructure from Cyber Security Threats, lead development efforts from inception to $40M in revenue, and authored popular opensource software, OpenDedupe, that is used to help organization migrate data to the cloud. Currently at Google, Sam is tasked with supporting organizations use of Google's ML/AI tools and IT transformation. Sam spend's his time working with organizations transforming how they work by using AI and ML concepts.View the profile
Aaron is a leader in the Manufacturing and IOT space. He consults with organizations designing end to end manufacturing solutions that include Robotics, Vision, and data analysis. Some of the leading Manufacturing companies in the world rely on Aaron's expertise to revolutionized their Manufacturing and Automation Processes.View the profile
About the talk
Manufacturing vision systems are a key component of any automation application. Flexible Assembly and Google will demonstrate how to use cloud-based machine learning to increase product quality, reduce cycle times, and dramatically reduce costs through the use of open-source object detection techniques and low-cost cameras. Flexible Assembly has developed an open-source solution built on top of Google research, Cloud ML Engine, and Google Kubernetes Engine that simplifies the task of training and prediction for industrial vision inspection and pick/place use cases. For this session, Flexible Assembly and Google will walk through the end-to-end process of acquisition, training, and prediction, using real use cases in real time. Flexible Assembly and Google will discuss challenges during training, performance considerations, and next steps for research in this area. Finally, Flexible Assembly will demonstrate the end-to-end solution in real time using a six-axis robot and Google Cloud ML Engine.
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