Manufacturing AUTOMATION

Virtual Event
Future of Automation 2021
September 29, 2021 at 1:00pm ET

2:50 p.m. – 3:10 p.m.
Reducing Inspection Errors, Costs and Risk with Hybrid AI


  • Jonathan Hou, President, Pleora Technologies
Manufacturers navigating through the complexities of AI are left with a few key questions. How can AI reduce errors and automate manual tasks? Is algorithm training expensive or complicated? Can I augment existing infrastructure and processes?

This session will discuss hybrid AI – an evolutionary approach that merges the best of computer vision and machine learning to address these concerns and allows manufacturers to deploy advanced end-to-end quality inspection. We will outline hybrid AI deployment strategies for established automated inspection systems, and opportunities to add decision-support to manual tasks. We’ll close the session with an overview on how a parts manufacturer is deploying hybrid AI today while also preparing for more advanced Industry 4.0 and IIoT automation.

Jonathan Hou
Jonathan Hou is president of Pleora Technologies, a supplier of AI, embedded and sensor networking solutions for the industrial automation, security and defence, and medical imaging markets. In this role, Jonathan oversees Pleora’s research and development efforts and leads the company’s long-term technology vision.

Jonathan joined Pleora as chief technology officer in 2018. Previously, he was director of technology with GlobalVision, where he helped develop new automated quality inspection solutions for print inspection applications. He has held positions in software and engineering management, applications engineering and software development in the machine vision, video, graphics and networking industries.

Jonathan holds a Bachelor of Applied Sciences – Computer Engineering from the University of Waterloo and a Master of Engineering from McGill University.

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