Systems integration is the process of bringing together diverse and disparate components and sub-systems and making them function as a single unified system.
You’ve learned about light sources, lenses, cameras, camera interfaces, and image processing software. Now, you may be wondering exactly how to design and implement a complete, successful machine vision system. In this article we’ll discuss the general parts that make up the broad task of machine vision systems integration, then focus on a step-by-step process for system design using real-life examples of basic machine vision applications.
Fundamentally, “systems integration” is the process of bringing together diverse and disparate components and sub-systems and making them function as a single unified system. The steps, phases, and terminologies in a successful integration vary widely.