Vision Technology for Big Data and the Industrial Internet of Things
December 01, 2017
12:00-1:30 PM EST
ABOUT THIS WEBINAR
Learn how the proliferation of inexpensively stored and queried vision data are allowing the industrial internet of things and big data to find true applications. Vision data can now be effortlessly stored, easily reprocessed and enable companies to efficiently sort through this data.
Artemis Vision is a machine vision software and integration company headquartered in Denver, CO, with sales offices in NC, NE & TX. We work with leading manufacturers and OEMs to build machine vision solutions, and bring new vision products to market. Our vision engineer, Tom Brennan, is an Advanced Level, AIA Certified Vision professional accompanied by a professional team that are here to meet your project specific needs. We have the software background to link to your current IT and SPC environments, so you can utilize the full value of your solution and use the data to improve your process. We are always on the look out for new OEM partnerships to help a client deliver a winning product, with our flexibility and expertise. Examples of our work, involve everything from medical imaging start-ups to automation machine. Artemis Vision can help your company find your solution and save you money, time, increase credibility, and decrease liability. Contact us today to get your quote.Click Here for More
Tom Brennan is an Advanced Level Certified Vision Professional working in the industrial machine vision and image processing software market. He is the founder of Artemis Vision. The team at Artemis has grown significantly since its founding to a team of 13 people and currently builds machine vision systems for many industrial accounts across North America. Systems verify surface finishes and distortion, measure, align and sort products for many different industries. Tom has successfully delivered many industrial and some medical systems over the last 7 years. He got his start in vision helping design the machine vision vehicle detection algorithms implemented as part of the DARPA Urban Challenge. Tom holds a bachelors degree in Computer Science from Princeton.