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CEC Semester Sixteen 2019

Exploring Vision Devices

Dr. Don Wilcher -
Director of Manufacturing and Technology at Jefferson State Community College
August 26,
2019
Embedded Vision Systems Research
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.
Course Resources
Course Resource (PDF)
Course Resource (PPT)
Webinar
Special Educational Materials
Analog Devices Condition Based Monitoring for Industry 4.0 - Video
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NXP's i.MX 8M Mini Provides Low Power, High Performance Processing - Blog
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NXP's i.MX 8M Mini Provides Low Power, High Performance ProcessingLeveraging Market's First Arm® Cortex®-M33-Based MCU - Part 1: Manage Power and Performance - Article
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Download Archive: MP4
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August 27,
2019
The Machine Vision Market
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.
Course Resources
Course Resource (PDF)
Course Resource (PPT)
Webinar
Special Educational Materials
Analog Devices Condition Based Monitoring for Industry 4.0 - Video
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance Processing - Blog
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance Processing Leveraging Market's First Arm® Cortex®-M33-Based MCU - Part 1: Manage Power and Performance - Article
Get Materials
Download Archive: MP4
Get Materials
Get Materials
August 28,
2019
Machine Vision System Components
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.
Course Resources
Course Resource (PDF)
Course Resource (PPT)
Webinar
Special Educational Materials
Analog Devices Condition Based Monitoring for Industry 4.0 - Video
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance Processing - Blog
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance ProcessingLeveraging Market's First Arm® Cortex®-M33-Based MCU - Part 1: Manage Power and Performance - Article
Get Materials
Download Archive: MP4
Get Materials
Get Materials
August 29,
2019
Industrial Uses of Vision Devices
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.
Course Resources
Course Resource (PDF)
Course Resource (PPT)
Webinar
Special Educational Materials
Analog Devices Condition Based Monitoring for Industry 4.0 - Video
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance Processing - Blog
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance ProcessingLeveraging Market's First Arm® Cortex®-M33-Based MCU - Part 1: Manage Power and Performance - Article
Get Materials
Download Archive: MP4
Get Materials
Get Materials
August 30,
2019
Smart Vision Devices
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.
Course Resources
Course Resource (PDF)
Course Resource (PPT)
Webinar
Special Educational Materials
Analog Devices Condition Based Monitoring for Industry 4.0 - Video
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance Processing - Blog
Get Materials
NXP's i.MX 8M Mini Provides Low Power, High Performance ProcessingLeveraging Market's First Arm® Cortex®-M33-Based MCU - Part 1: Manage Power and Performance - Article
Get Materials
Download Archive: MP4
Get Materials
Get Materials
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Instructor
Dr. Don Wilcher
Director of Manufacturing and Technology at Jefferson State Community College

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 Director of Manufacturing and Technology at Jefferson State Community College. 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.