HMUSA 2022 Conference: Using Automation to Reduce Labor Costs

How does one build a successful business in a competitive industry while also trying to reduce costs and grow the employee base?

Using Automation to Reduce Labor Costs with Canon USA
Using Automation to Reduce Labor Costs with Canon USA
GIE Media’s Manufacturing Group

About the presentation
One significant obstacle facing industries all over the world is high labor costs. Pair this with a shortage of labor in the workforce and a major dilemma begins to arise: how does one build a successful business in a competitive industry while also trying to reduce their costs and grow their employee base? The answer lies within robot-based bin picking. High-level collision detection and path planning allow robots to move independently without any human intervention. High-quality structured light projection creates a detailed 3D map of points so the system can accurately identify the location and orientation of the parts in the bin. Using this technology, 3D machine vision systems completely resolve the aforementioned issues by reducing labor costs and assisting companies with filling positions that are less desirable in today's workforce. This is shaping the way industries function by optimizing production and creating a safer environment in which people can work.

Registration
Powered by AMT and managed by GIE Media, The IMTS 2022 Conference features 69 different sessions you won’t want to miss so register today. Focused on a range of topics that include process innovation, plant operations, quality/inspection, and automation, The IMTS 2022 Conference addresses improving productivity; improving part quality; and developing a stable, competent workforce to lower the cost of manufacturing in the United States and create new levels of market demand.

Meet your presenter

Originally from Kansas City, Missouri, Grant Zahorsky started working for Canon USA in 2019 focusing on the progression of the Canon RV-series machine vision system. This system uses Canon's high-end consumer and professional cameras to globally assist companies by automating their facilities, thereby creating a more efficient and safer workplace. Zahorsky earned a Bachelor of Science degree in robotics engineering from Worcester Polytechnic Institute in Massachusetts. He 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 (AI), and machine vision systems, Zahorsky has set the stage to leave his mark on the industry.

About the company
Canon U.S.A. Inc. is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets.