Myakov: Things which require low latency, they will stay at the edge and that’s not going to change. Only things which are practical for the cloud will go to the cloud. And I agree that security in the cloud done by professionals is better than security at the edge done by non-professionals. But again, there will be regular regulatory barriers and whether real or perceived. So it’s gonna be a healthy mix of edge and cloud. I think probably by 2025-2027 the ratio between cloud and the edge is going to be clear.
Diani: You need to have your mind open to new technology. The cloud is coming and a lot of things are changing, but if you don’t have an open mind you will not accept these changes. But we need people that believe in the technology. The market is growing. The technology is growing. I know that machine vision is a niche market but is a market that is a very interesting, completely different from many other markets. The only thing that I don’t see now in cloud computing is some standardization for the acquisition of images. I believe that big companies can drive this standardization.
Hall: I think it is clear from this discussion that there is this unique opportunity to collect and correlate data and make that data available in the cloud. So we have this interesting new challenge ahead of us. How do we marry the capabilities of cloud in terms of data collection, data annotation, model training and connect that with Edge deployment? I think all of the pieces are there and in the next three to five years we will achieve a state that is more clearly defined. (bfi)
www.emva.org
www.intel.com
www.xilinx.com
n Jan Metzner, Specialist Solutions Architect Manufacturing, AWS
n Marco Diani, CEO of Image S, EMVA
n Alexey Myakov, Chief Computer Vision Advocate, Intel
n Quenton Hall, System Architect, AMD Xilinx