Vision Systems 250

This class describes how vision systems work and how they are used for industry. It also describes concerns with mounting cameras and lighting.

Class Details

Class Name:
Vision Systems 250
Number of Lessons:
Additional Language:

Class Outline

  • Objectives
  • Vision for Industrial Robots
  • Linear Array
  • Matrix Arrays
  • Machine Vision
  • Pixel Display
  • Camera Mounting
  • Image Intensity
  • Vidicon vs. Solid State Cameras
  • Lighting
  • Lighting Devices
  • Laser Vision
  • Machine Vision Applications
  • Summary


  • Define vision systems.
  • Describe the linear array.
  • Describe matrix arrays.
  • Describe machine vision systems.
  • Describe pixels.
  • Describe camera mounting considerations.
  • Explain how vision systems use image intensity.
  • Distinguish between vidicon and solid state cameras.
  • Identify the common ways to position lighting devices.
  • Identify the types of lighting devices.
  • Describe laser vision technologies.
  • Describe common machine vision applications.



Vocabulary Term Definition
algorithm A mathematical process designed to systematically solve a problem.
analog-to-digital converter A device used by a vision system to convert real-world values into the binary numbers that a computer can understand.
back lighting A lighting technique that places lighting behind the target object, usually shining through a translucent surface.
collimator A lighting device that creates a stable light source that does not disperse quickly.
condenser projector A lighting device that creates a bright, narrowly focused light beam.
diffuse surface device A lighting device that creates a soft, broad light.
digitized Converted from real-world values to binary numbers. Computers work only in binary, or digital, numbers.
flood projector A lighting device that creates a wash of light not just on the object, but throughout the surrounding area.
front lighting A lighting technique that places lighting near the camera and directs light toward the target object.
grayscale A digital image in which the value of each pixel carries only light intensity information. Grayscale is distinct from black and white in that it recognizes many more than two levels of intensity.
linear array A basic, one-dimensional vision system that can determine if objects are present and detect surface errors.
machine vision The ability for a robot to "see." This sense of sight is provided by a vision system.
many-to-one mapping A way that computers handle relationships between unique data. For vision systems, this means there are "many" data points in the real three-dimensional world for each "one" data point in its two-dimensional representation.
matrix arrays Multiple camera, two- or three-dimensional vision systems that can measure and gauge parts.
optical inspection A form of inspection that can use a laser to quickly scan and measure the surface area of parts to search for defects.
pixel The smallest piece of information in an image. Pixels can be represented as black and white, or shades of gray depending on light intensity.
pixel matrix A two-dimensional grid with corresponding number values onto which pixel data is placed.
side lighting A lighting technique that places lighting perpendicular from the object and the camera.
solid state camera A newer type of camera that converts images into a two-dimensional array of evenly spaced photosensitive elements.
vidicon camera An older type of camera that forms images on a photoconductive surface and converts the light values into pixel data.
vision system A device that collects data and forms an image, which is interpreted by a computer to determine an appropriate position or to "see" an object.
work cell The defined area of space through which a robot can move.