Presentation will begin: Tuesday, July 19, 2022 - 10:25 AM EDT
Presented by: Jonathan Hou, Pleora
Humans do a good job at visual inspection. We can spot differences and learn by example, and we are adaptable. However, when we get tired, bored, or distracted, we tend to make mistakes. For manufacturers that rely on human inspection during key production steps, these mistakes can translate into additional costs and quality risks that potentially harm brand reputation. In this presentation, Hou will discuss how new “no code” algorithm development, training tools, and turnkey inspection systems are making AI accessible and affordable for all areas of manufacturing. He will also highlight how both an electronics manufacturer and a distillery rely on AI decision-support tools to help ensure end-to-end quality and protect their brands.
Hou will cover:
• Why visual inspection is important, and what types of challenges and errors are experienced and discovered.
• Where AI tools can help a manufacturer — for example, in customized and localized production, where full automaton is too complicated or expensive.
• What “no code” is and how it can help quality managers design their own automation workflow (for ease of use and cost advantages).
• How these systems work, including video examples of an AI algorithm in use.
• A case study of an electronics manufacturer using the system for decision support during inspection of high-value, low-volume products.
• A case study of a distillery using the system for brand management, including to assist an operator in manual labeling processes and in the final quality control check on finished goods.
About the presenter
Jonathan Hou is president of Pleora Technologies, a leading supplier of AI, embedded, and sensor networking solutions for the industrial automation, security and defense, and medical imaging markets. He oversees Pleora's research and development efforts and leads the company's long-term technology vision.
Hou joined Pleora as CTO in 2018. Previously he was director of technology at 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. He has a Bachelor’s of Applied Science degree in computer engineering from the University of Waterloo in Canada and a Master of Engineering degree from McGill University in Montréal.
About the sponsor(s)
- Pleora Technologies Inc. - Supplier of video interfaces for system manufacturers and camera companies serving the military, medical, intelligent transportation, and industrial automation sectors.