In this class, you will be learning about vision systems, their purpose within a manufacturing setting as well as how to develop an application for a Cognex In-Sight Machine Vision System.
We will start by learning the typical ways machine vision systems are employed in today's manufacturing. "Why are they needed?", "How do they operate?" as well as "What are their capabilities?" will be some of the topics we will explore.
We will then take a deep dive into the hardware involved within the Cognex In-Sight ecosystem. We will go over the setup you'd need to achieve in order to properly install one of these vision systems on the manufacturing floor, pass signals back and fourth and be able to communicate with it in a reliable fashion. As we progress through the next sections, we will revisit some of our initial hardware considerations and explore them further.
The core of the class will be spent learning about the In-Sight explorer application. This tool allows a vision systems programmer to create, troubleshoot and modify existing vision system applications. As we progress through the course, you will become familiar with the different tools & techniques at your disposal and which role they will play in your environment.
At the end of each section, you will face a brief quiz which will test your knowledge and make sure that you're getting the most out of the material covered within the class.
In-Sight Software & Getting Started
Cognex Intermediate Topics
Cognex Integration into Studio 5000 Rockwell Environment
I hold an Electrical Engineering bachelors degree and have been in the industry for five years. I enjoy playing with electronics in my spare time and teaching them to a wide audience. I've built circuits, robots, audio/video gadgets, automated equipment and much more.
As a career, I've decided to dedicate myself to the manufacturing industry and automation. I program Programmable Logic Controllers (PLCs), Human Machine Interfaces (HMIs), Robotics as well as Vision Systems for a living. I enjoy solving manufacturing automation challenges, working with diverse teams and increasing productivity as well as reliability of industrial equipment.