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#ComputerVision vs #RobotVision Understanding The Difference
Computer Vision VS Robot Vision Understanding
Artificial Intelligence has bridged the gap between machines and humans by
emphasizing some astonishing aspects and some groundbreaking technologies like
Machine Learning, Computer Vision and Image Processing. It might never have
occurred to you but your day-to-day life is very much influenced by Artificial Intelligence.
For instance, if you’re frequently visiting an e-commerce site, it automatically keeps a
track of your search preferences. So the next time you visit that site, you’ll start seeing
results based on your search preferences. This technique of learning user behavior is
called pattern recognition which is an integral part of Machine Learning and Artificial
Computer Vision and Robot Vision are the two most astounding inventions in the field of
AI but as it turns out, there’s quite a lot of misconception about these two terms or
entities. More often than usual, the two entities are perceived to be the same. But the
thing is, there are numerous major differences between the two. While the two entities
can never be the same, it is a common mistake that many people make owing to the
striking similarities between Computer Vision and Robot Vision. In this blog, you’ll know
how these two technologies are different from one another and where do we have to
draw the line.
You may also like New Computer Vision Technology To Identify Distracted Drivers .
What Is Robot Vision?
Robot Vision as the name suggests, is a set of algorithms which renders vision to the
robotic components. At its core, Robot Vision is a combination of computer algorithms,
cameras and other hardware components that work unanimously in order to provide
visual insights to the robot or machine. This helps the robot to accomplish complex
tasks that require visual understanding.
For instance, if it wasn’t for the Robot Vision techniques, a machine or say a robotic arm
won’t be able to pick an object and place it somewhere else if need be. You can
imagine this scenario where sensors and cameras are used to detect an object placed
on a wooden plank which is then lifted up by the robotic arm using complex Robot
Vision algorithms. For object detection as discussed in above mentioned case, the
Robot is equipped with the ordinary 2D cameras while this can be problematic if it were
to mount its wheels on a moving vehicle. In that case, you’ll need advanced 3D Stereo
So that’s what Robot Vision is all about and seeing its use, one can easily conclude that
a Robot would apparently be blind if it wasn’t for Robot Vision.
Computer Vision is a subfield of Artificial Intelligence which aims on rendering advanced
visual capabilities to the computers by means of complex algorithms and camera
hardware. It mainly deals with image recognition. The computer vision methods initially
extract useful information from the digital images and videos. This information is then
processed and analysed. Finally with help of cameras (usually webcam), the computer
acquires high-dimensional data from the real world. This data is further processed to
generate symbolic information which enables the computer to take important decisions.
There are several other subfields of Computer Vision including object recognition, video
tracking, object pose estimation, image restoration and event detection.