Below is an excerpt from the podcast:
In simple terms, machine vision enables computers to see. Most authorities in the industry define machine vision as the replacement of human visual perception and judgment with a camera, computer, and software to provide autonomous, noncontact image acquisition, analysis, and decision-making to obtain desired data to enhance or control an automated process.
The industry generally assigns the basic machine vision use cases into the four following categories:
Category number one is inspection: A visual inspection includes identifying objects and features, verifying assembly, detecting defects, and counting.
Category number two is location and guidance: As in vision-guided robotics, the location of individual objects in a scene can be determined either relative to the scene or relative to a real-world coordinate system.
Category number 3 is measurement: In 2D and 3D space, online metrology provides real-world measurements of objects/features to a specified precision.
And category number 4 is identification, sorting, and reading. This category includes identifying and sorting objects and features in a scene, reading and understanding characters and code symbols, and sorting and counting objects according to geometry, color, or other characteristics.
