Exploring Vision Devices
A review of the technologies being deployed in embedded vision systems will be presented in Day 1 session of the webinar course. Participants will be presented with a vision system pipeline which will serve as the model for investigating embedded vision systems.
Lab Project: Build an Augmented Reality (AR) based Object Detection smartphone device.
Day 2 session will allow course participants to explore the market of Machine Vision. Within the discussion, participants will learn Choices, Confusions, and What's Important elements of the machine vision market.
Lab Project: How to attach and use a Pi Camera with a Raspberry Pi single board computer.
This session will discuss the major components of a machine vision system with participants. Also, off-the-shelf vision devices for makers, educators, and engineers will be identified and explored in this session.
Lab Project: Part 1- Introduction to the Pixy2 Cam smart sensor.
Applications of vision devices in the industrial sector will be discussed in Day 4 of the webinar course. Participants will apply the vision system pipeline discussed in Day 2 for categorizing vision applications with the industrial sectors.
Lab Project: Teaching Pixy2 Cam smart sensor for Object Detection.
Participants will engage with smart vision devices topic through a hands-on lab project. A discussion on intelligent cameras will be presented to participants including basic components of the smart vision device. Participants will explore this technical topic using the Google AIY Vision Camera.
Lab Project: Image recognition with the Google AIY Vision Camera.
Dr. Don Wilcher, an Electrical Engineer, is an Associate Certified Electronics Technician (CETa), a Technical Education Researcher, Instructor, Maker, Emerging Technology Lecturer, Electronics Project writer, and Book Author. His Learn Electronics with Arduino book, published by Apress, has been cited 80 times in academic journals and referenced on patents.
He is the Assistant Professor of Electrical and Computer Engineering at the University of Alabama - Birmingham. His research interest is Embedded Controls, Robotics Education, Machine Learning, and Artificial Intelligence applications and their impact on Personalized Learning, Competency-Based Models curriculum, and instructional development in Mechatronics, Automation, IoT, Electronics, Robotics, and Industrial Maintenance Technologies. He is also the Founder and owner of MaDon Research LLC, an instructional technology consulting, technical training, and electronics project writing company serving Electronics Marketing Media, Technical and Engineering Education companies.