Date: Wednesday, July 29, 2020
Time: 2:00 PM Eastern Daylight Time
Duration: 1 hour
From the myriad of types of machine vision applications, robotic bin picking has proven to be one of the most promising in a world surrounded by Industry 4.0 technology. It drastically increases productivity and efficiency in a multitude of industries by decreasing cycle time and reducing the number of operators needed in a production line. In this webinar, we will take this knowledge and apply it to real-world applications to see the steps needed for success in this area. This will allow you to learn from other industry experiences and make the most out of your future applications.
In this webinar, you'll learn:
- How 3D robotic bin picking systems work
- How to decrease downtime and increase efficiency in your factory with 3D Machine Vision
- Real-world application examples for 3D robotic bin picking systems
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.