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A Full Guide to Automating your Factory: Why 3D Machine Vision is so Successful and How You Can Be Too

10/02/2022 - Noon - 1 PM ET


The need for automation is growing faster than ever with labor shortage issues being one of its largest driving factors. Because of this, robots and the technologies surrounding them have become more sophisticated than ever before and are able to recognize and pick a variety of part types and pile types all on their own. In this webinar, we will discuss how Canon’s 3D Machine Vision system can reduce cycle time, increase productivity, and make applications more efficient in your facility and all of the steps needed to accomplish this from start to finish. By looking at real-world examples, we will take you through the process of selecting the best application for you, completing various tests, training, and the final implementation of the system as a whole so that you can get started quickly and easily.

Key Takeaways:

  • Learn how to automate your production with 3D Machine Vision – start to finish
  • Understand how 3D Machine Vision is actively combatting the labor shortage
  • Understand a high-level overview of the technology behind 3D Machine Vision
  • Learn about the benefits of industrial automation

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Grant Zahorsky

Originally from Kansas City, MO, Grant Zahorsky started working for Canon USA in 2019, focusing on the progression of the Canon RV-Series machine vision system. This system utilizes Canon's high-end consumer and professional cameras to globally assist companies by automating their facilities, thereby creating a more efficient and safer workplace. Grant's background is in Robotics Engineering, in which he earned a Bachelor of Science degree from Worcester Polytechnic Institute in Massachusetts. He has also had experience working at a factory that specializes in robotic welding for Tier 1 companies in the automotive industry. With his involvement in the world of robotics, artificial intelligence, and machine vision systems, Grant has set the stage to leave his mark on the industry.