Machine vision systems are programmed to perform narrowly defined tasks.
Though machine vision systems have neither the intelligence nor the learning capability of human inspectors,
they are considered useful in many applications. For more detail, view various industrial applications.
Manufacturers favor machine vision systems for visual inspections that
require high-speed, high-magnification, 24-hour operation, and repeatability of measurements.
For more on a machine vision system, view the list of services USS offers, as a machine vision integrator.
Read More
The optical sensor determines when a part moving on a conveyor is in position to be inspected. The optical sensor triggers the camera to
take a picture of the part as it passes beneath the camera and lighting. The lighting used to illuminate the part is designed to highlight
features of interest and minimize the appearance of features that are not of interest. The camera's image is captured by the framegrabber.
A framegrabber is a computer card that converts the output of the
camera to digital format and places the image in computer memory so that it may be processed by the software.
Read More
The software will typically take several steps to process an image. Often the image is first manipulated to reduce noise or to convert
many shades of gray to a simple combination of black and white. Following the initial simplification, the software will count, measure,
and/or identify objects in the image. As a final step, the software passes or fails the part according to programmed criteria. If a part
fails, the software signals a robotic device to reject the part; alternately, the system may warn a human worker to fix the production
problem that caused the failure.
Read More
In many industries, machine vision is used for robot guidance. In this sense, machine vision is a sensor used in the robots
for viewing and recognizing an object with the help of a computer. It is mostly used in the industrial robots for inspection purposes.
This system is also known as artificial vision or computer vision. It includes a camera, digital computer,
digitizing hardware, and an interface hardware & software. The machine vision process includes three important tasks, namely: (1) sensing & digitizing image data, (2) image processing & analysis, and (3) applications.
Read More