Author: Kostak, Milan; Berger, Ales; Slaby, Antonin
Title: Migration of Artificial Neural Networks to Smartphones Cord-id: r0h7bl0m Document date: 2020_8_24
ID: r0h7bl0m
Snippet: The paper explains the process of migration of an artificial neural network (ANN) to a smartphone device. It focuses on a situation when the ANN is already deployed on a desktop computer. Our goal is to describe the process of the migration of the network to a mobile environment. In the current system we have, images have to be scanned and fed to a computer that is applying the ANN. However, every smartphone has a camera that can be used instead of a scanner. Migration to such a device should sa
Document: The paper explains the process of migration of an artificial neural network (ANN) to a smartphone device. It focuses on a situation when the ANN is already deployed on a desktop computer. Our goal is to describe the process of the migration of the network to a mobile environment. In the current system we have, images have to be scanned and fed to a computer that is applying the ANN. However, every smartphone has a camera that can be used instead of a scanner. Migration to such a device should save the overall processing time. ANNs in the field of computer vision have a long history. Despite that, mobile phones were not used as a target platform for ANNs because they did not have enough processing power. In the past years, smartphones have developed dramatically, and they have the processing power necessary for deploying ANNs now. Also, major mobile operating systems, Android and iOS, have included the support for the deployment.
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