MAY 2020CIOAPPLICATIONS.COM8In My ViewWhy is Machine Vision important?Artificial Intelligence is transforming education, healthcare, retail, automobile and most other industries. Machine Vision or Computer Vision is a remarkable part of AI that gives computers the ability to see, and comprehend, similar to a human being. Vision is a more fundamental means of communication compared to language. A picture is worth a thousand words. With the widespread use of smartphones, people want to interact with the digital world via images. Instead of typed instructions, computers will receive information from cameras or sensors. For example, we unlock our phone with our face, we want our fitness app to know what food we ate and the calories associated with it and we want our education app to infer what we need to learn without having to type it. Computer Vision gives machines this ability. The past decade has been revolutionary for Computer Vision with the success of deep learning algorithms and advancement in hardware dedicated to graphs and Image Processing. This has led to a huge uptick in investments in this field. Hardware LandscapeMachine Vision solutions require fast processing of computationally expensive algorithms on large number of images. The processors might also need to be embedded in drones, smart phones and other portable devices. While processing on computers, we have a large range of hardware options: GPU's, hybrid GPU+CPU and High Performing Cluster (HPCs). High performing GPU's and CPU's are readily available from cloud compute providers. Companies are no longer limited by equipment set up costs and can easily start machine vision projects. Recent advances in embedded vision systems have produced miniature cameras and processors. There is a huge potential for demand in this space. This will be shaped by the evolving imaging capacities of embedded vision.Transforming Industries with Machine VisionSANGHAMITRA DEB, STAFF DATA SCIENTIST, CHEGG
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