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How Vision Systems Work in Robotics
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Source: Design News
Robot vision systems are commonly referred to as machine vision. This vision tool is used in several industrial processes, including material inspection, object recognition, and pattern recognition. Each industry applies its particular values to machine vision. In healthcare, pattern recognition is critical. In electronics production component inspection is important. In banking, the recognition of signatures, optical characters, and currency matter.

Robotic visions systems can include:

3D technology can take distinguish more exact measurements. They can perceive depth as well as shapes.

Structured light sensors project light onto a part and analyze the dimensions of the parts by reading the light.

Time-of-flight cameras. These cameras use infrared light to determine depth information. The sensor emits a light signal, which hits the subject and returns to the sensor. The time it takes to bounce back is then measured and provides depth-mapping capabilities.

We talked with machine vision company, Cognex to get an understanding of how vision systems work with robotics. "There are two main applications for robot guidance. You take an image of the scene and you find something and input that thing’s coordinates. This is the angle for 2D and 3D systems. The robot can see an object and will do something with it," Brian Benoit, senior manager of product marketing for Cognex, told Design News. "Another application is inspecting an object. A robot holds a camera and the robot moves the camera around the part to get certain images."

Read the full article at Design News.

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