Date: Thursday, May 09, 2019
Time: 2:00 PM Eastern Daylight Time
Duration: 1 hour
In this webinar we go beyond the barcode to talk about machine vision and machine learning (ML) with Edge IoT- the combination of edge computing and IoT technology- which is used to prevent “missing in action” items in inventory, intercept shipments before heading to the wrong destination, automate parts picking and more, while creating instantaneous communication among the manufacturing floor and related systems. We’ll discuss ML basics, how vision ML is being used in manufacturing, and tips to getting started. Hint: no barcode or vision expertise required! Hear from experts from ADLINK Technology, the leaders in edge computing and Amazon Web Services, the leaders in cloud computing to learn how easy it is when the two come together for vision-based manufacturing initiatives.
Some topics we’ll cover:
- Edge IoT for vision ML basics & tips: what is it, how does it work, why at the “edge”
- Different ways vision ML is being used in manufacturing including smart pallets, automated parts picking, anomaly detection, robotics and more
- Tips to getting started and best practices
Joe Speed is field CTO of ADLINK IoT leading AI, IoT and vision efforts in the field with customer and partners. Joe helped lead the #AccessibleOlli “Autonomous for All” program, made MQTT open source, is an HMI autonomous vehicles award winner, a Forbes recognized “IoT Technology Leader” and a TU-Automotive “Influencer of the Year” finalist. Joe has a passion for using #tech4good and a love for engineering, IoT, open source tech, autonomous things and robotics.
You can stay up to date with Joe on Twitter and LinkedIn
AI and ML Solutions Architect
Amazon Web Services
Mahendra Bairagi is an Artificial Intelligence (AI) and Machine Learning (ML) architect for Amazon Web Services, working on all things IoT, Robotics, and Cloud. For over 20 years Mahendra has been at the center of technology, data and people and has the pleasure of working with machine learning for vision-based technologies with AWS for the past 5 years. Mahendra believes technology, fun, and smart people can build things that make a difference.