Leveraging the Future of Artificial Intelligence with Robotic Vision and Computer Vision Technology

by October 26, 2018 0 comments

Artificial Intelligence

Through pattern recognition, your digital footprints caused by frequent visits to the e-commerce sites, keep a track of your online search to offer you results based on historical your search preferences. Thus probability is bright that the holiday package you were just browsing online may come with a buy option at different web pages that you visit later. Such is the power of Technology!

 

Leveraging Robotic Vision

Computer Vision and Robotic Vision (also called Robot Vision) are the two most impressive inventions in the field of AI. Many perceive more often than usual, these two entities to be the same. However, there are major differences between these two futuristic vision technologies. Robotic vision powers robotics while computer vision is the technology behind image recognition.

Robot Vision at its core is a combination of multitudes of cameras, computer algorithms and other hardware components that work together to provide visual insights to the robot or machine they cater to. It is the Robot Vision that helps any robot to accomplish complex tasks requiring a visual understanding of its surroundings. For instance, it is the Robot Vision techniques that guide a machine or a robotic arm to pick an object and place it somewhere as per requirements. Imagine a scenario where sensors and cameras detect an object placed on an elevated height which is subsequently lifted up by the robotic arm deploying complex Robot Vision algorithms. For object detection the Robot is teamed with the ordinary 2D cameras if the situation is more complex like the robotic arm has to mount its wheels on a moving vehicle, advanced 3D Stereo Cameras are used. The process of robotic vision works in two simple steps:

 

1. Imaging: In this process, the robot uses vision technology for scanning or “seeing” objects. The robot can scan two-dimensional things including barcode scanning and line scanning, in addition to the X-ray imaging and 3D imaging for inspection purposes.

2. Image Processing: Image processing follows Imaging process. After object detection, the robot processes it or starts to think about it. For instance, the robot finds the presence of an obstruction and detects edges, discovers and manipulates objects according to its programming, counts pixels, and recognizes patterns.

 

Talking in the crux, a Robot would apparently be blind if there was no Robot Vision technology to show the way.  Essentially, robot vision is a sophisticated technology helping an automated robot, to identify things, navigate, find objects, and inspect things along its way. Robot vision deploys a series of carefully-calibrated algorithms, temperature detection sensors that come with a varying range of complexity and application.

This innovative and path-breaking technology has the potential to cut operating costs to create practical application solutions for all types of automation. Robots working side by side, with robotic vision technology, would not collide with each other performing a series of different tasks like measuring, reading barcodes and scanners, inspecting engine parts, surface inspection and packaging, checking the orientation of components and pieces and inspecting for defects among others.

 

The Potential of Computer Vision

Computer Vision is a component of Artificial Intelligence aiming to render advanced visual capabilities to computers through camera hardware and complex algorithms. Computer Vision primarily deals with image recognition. The method begins with the initial extraction of useful information from the different videos and digital images. This information is further processed and analysed usually with the help of webcams, by acquiring high-dimensional data from the real world. This data is finally processed to generate symbolic information powering the computer to take important decisions. Further, Computer vision is categorised into various subfields which include object pose estimation, image restoration object recognition, video tracking and event detection.

The latest advances in Computer Vision have enabled nearly 300 million visually impaired people around the world to see what the sighted often take for granted, any number of the nearly 2 billion photos which are uploaded onto Facebook on a daily basis. Computer vision is additionally deployed by consumer offerings, social media platforms, law enforcement agencies, and industrial production houses.

Computer vision and Robotic vision have already entered our lives and businesses in ways many of us may not be aware of improving the quality of our lives with each passing day.

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