“ Deep learning has played a crucial role in enabling pre-trained models for object detection , people detection , segmentation , and classification ”
AI / ML
“ Deep learning has played a crucial role in enabling pre-trained models for object detection , people detection , segmentation , and classification ”
OMKAR NISAL MD UK & I , WIPRO
“ Autonomous mobile robotics are able to collect a tremendous amount of data , but customers expect that data to be parsed into digestible and actionable insights ,” he explains . “ The maturation of cloud technology will help expedite the process of pushing data from the edge to the cloud and then back down to the customer .”
With the future of industrial machine vision applications expected to reside in private clouds , cloud technology has an important role to play .
“ Most of these vision solutions are built inherently on the cloud , as a result of initial cost advantages . Initially , deep learning algorithms demanded huge amounts of hardware ,” Nisal comments .
“ The earlier solution designs used cameras , sending images and videos to the cloud . This was advantageous for small use cases but , on a larger industrial scale , it soon became a problem . It caused network bandwidth issues due to thousands of images and videos being transferred onto the cloud which then started clogging the network .
“ Going forward , the future of vision systems will be local image processing , either on the edge device itself or on private local cloud platforms . Having data processed locally solves many of the problems related to bandwidth , real time performance and data security .”
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