AI / ML
“ Vision is essential for an organism to understand the world around it beyond touch . However , it ' s not a simple process . More than 50 % of the cortex – the surface of the human brain – is devoted to processing visual information . This demonstrates the volume of processing resources that need to be devoted to it , and it ’ s the same in robots and other artificial intelligence . Vision is very challenging but adds enormous capability ,” notes Eleanor Watson , IEEE AI Ethics engineer and AI Faculty at Singularity University . The technology , when applied to robotics , enables machines to perceive their surroundings , recognise individuals and objects , understand context , discern the attributes of things , and freely navigate environments .
With these abilities , machine vision can enable the contextual awareness required for robots to work closely alongside humans and adapt to changes in the environment by applying AI to learning new work patterns .
“ Apart from the most common use cases – using visual information to check on the status of quality , position or inspection of tasks – machine vision ’ s value is flexibility and contextual awareness . Today ’ s industrial robotics are required to intelligently react
“ AI cloud solutions can bring state-ofthe-art deep learning to solve industrial computer vision problems , utilising the innovative AI methods built on top of the modern cloud technology stack ”
PRASHANT NATARAJAN VICE PRESIDENT OF STRATEGY AND PRODUCTS , H2O . AI .
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