IIoT & Big Data in Machine Vision
March 17, 2020
Noon - 1 PM ET
ABOUT THIS WEBINAR
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.
SPONSORS:
IDS Imaging Development Systems GmbH
IDS is a leading manufacturer of digital industrial cameras with USB or GigE interface as well as 3D cameras with a wide range of sensors and variants. With the highly flexible, intelligent IDS NXT industrial cameras for deep learning-based tasks and adaptive robot vision solutions, the company is opening up new dimensions in image processing. IDS image processing components are developed exclusively in Germany, produced there in a resource-saving manner and sold worldwide.
Since its foundation in 1997 as a two-man company, IDS has developed into an independent, ISO-certified family business with more than 300 employees. The headquarters in Obersulm, Germany, is both a development and production site. With branches in the United States, United Kingdom, Japan and South Korea as well as other offices, IDS is represented internationally.
Click Here for More
Tom Brennan
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.
