Increasing Efficiency within Your Factory: Why You Should Switch from Old Technology to 3D Bin-Picking

April 28, 2020

Noon - 1 PM ET


By automating a system in a factory environment, you can make drastic improvements to your company's production flow and efficiency. By automating through the use of 3D vision applications and robotic bin-picking, you can specifically target the challenges of ROI, reliability of a system, and cycle time, just to name a few. This will allow you to spend less on the setup and maintenance of a system, and more on other, more beneficial projects to further grow your company. This webinar will help facilitate that process and give you the tools you need to move forward with maximizing the productivity of your facility.

Attendees will understand:

  • Benefits of a 3D bin-picking system over other technologies
  • Challenge, risks, and actual evaluation and implementation steps
Webinar Image

Exclusive Sponsor:

Canon USA - 3D Machine Vision

Canon is the global leader in optical products. To tackle the challenge of 3D random bin-picking, Canon has developed and created a solution that utilizes their advanced optical and processing technologies. It automatically recognizes parts, determines the best pick candidate, and calculates the most optimal path so that the robot can safely, but surely, pick up the part and move it to its desired destination. Having offices in Illinois, California, New York, and across the globe, Canon USA helps various industries automate pick and place applications.

Image of Grant Zahorsky

Grant Zahorsky

3D Machine Vision Engineer

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.

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