IIoT & Big Data in Machine Vision
Originally Recorded on March 17, 2020 at Noon ET
This webinar will cover advancements in IIoT and big data and the machine vision technologies that make it possible for a company to be a part of Industry 4.0 and the factories of the future. Networked machine vision is offering ways to harness and interpret an abundance of data, improve quality processes, and increase productivity. And thanks to ever-evolving technologies like deep learning based inspection and improved connectivity, the possibilities and value in machine vision are greater than ever.
Attendees can expect to learn:
- What challenges and benefits are inherent in IIoT and big data
- Methods for using data from machine vision, including reporting, normalization of data, and data integrity.
- Practical tips for making IIoT improvements to their operations.
All MCMA webinars are free educational resources for you.
Tom Brennan is president and founder of Artemis Vision, which builds repeatable, tested vision systems for automated inspection and quality control. An AIA Advanced Level Certified Vision Professional, he has been working in the industrial machine vision and imaging processing software market for the past ten years. He has successfully delivered numerous industrial machine vision systems for industries from medical to automotive to defense. Tom got his start in the vision industry designing machine vision vehicle detection algorithms as a research effort for the DARPA Urban Challenge, and holds a BSE in Computer Science from Princeton University.