September 9 - 10, 2025

ABOUT THE EVENT:

The Machine Vision Summit showcases the latest innovations in the machine vision industry.  This free two-day summit offers educational sessions and curated keynotes where attendees will learn about how the combination of machine vision and AI is enabling new applications in inspection, bin picking and sorting, optical character recognition (OCR), and more. We’ll also cover advanced technologies in both the visible and non-visible spectrums, and how they can help solve challenges in manufacturing and logistics automation.

WHO SHOULD ATTEND:

 ● Design & Development/Systems Integration ● Quality Control ● Engineering Management

● Research & Development ● Corporate Management ● Manufacturing/Production Engineering

Featured Keynotes:

Business Success Factors for Machine Vision Players in the New World Order

Ronald Müller,  Mark Williamson and Oliver Runkel- Vision Markets
 

The recession in western manufacturing sector, a new geopolitical order, and shock waves from volatile policy-making ripple through the machine vision industry. In this panel discussion, the experts from Vision Markets will share a structured approach to assess the health of your business and exposure to the geopolitical risks. Learn how you can identify, prioritize, and implement your options from divesting/investing and the diversification to new business models and markets.  

Mark Williamson

Machine Vision for Industrial Inspection: Bridging Dataset, Algorithms, and Solutions

Zheng Liu, University of British Columbia, Okanagan Campus

Machine Vision is transforming industrial inspection by enabling automated, data-driven evaluation of assets across manufacturing and instrastructure sectors. This talk explores the machine vision innovation pipeline--from compiling meaningful datasets and developing robust algorithms to deploying interoperable, real-world solutions. Emphasis will be placed on how inspection results can inform industrial asset life-cycle management when integrated with standardized frameworks, cloud computing, and industrial IoT platforms. This talk will also discuss how machine vision data feeds into digital twins for real-time monitoring, predictive maintenance, and system optimization. 

Using AI, Robotics and Machine Vision to Process and Sort Solid Waste

Joe Castagneri, AMP

AMP uses deep learning to continuously train itself by processing millions of material images into data. The software uses pattern recognition of colors, textures, shapes, sizes, and logos to identify recyclables and contaminants in real time.This presentation will describe AMP's history and vision, its technology and results. With near-zero manual sorting, reliablity, and pervasive data collection and analysis, the company's automated process makes the the recovery of commodities safer and more cost effective and increases recycling rates.

Event Sponsors:

Keynote Sponsor

TechTalk Sponsors

Interested in Sponsorship?

Contact us at sales@vision-systems.com and we'll answer your questions and send you a sponsorship prospectus!