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An Embedded Cascade SVM Approach for face detection in the IoT Edge Layer

By Aleksa Damljanovic and José M. Lanza-Gutiérrez

Abstract

In last years, the Internet of Things (IoT) has gained attention in relevant fields of application as Industry 4.0. IoT is usually structured around three layers according to computing capacity and energy cost: cloud, fog, and edge. This paper focuses on the edge layer which is close to the end-user. Specifically, the authors fully address a binary image classification problem in the edge without going toward upper layers, i.e., the intelligence and the computation is brought to the edge layer, instead of being simple sensing devices. To this end, the authors propose a cascade Support Vector Machine (SVM) embedded implementation specially designed to be executed within a low-cost FPGA, which could be embedded in an IoT edge device. The experimental results performed show the feasibility and correct functionality of the proposal when comparing to a regular computer

Publisher: IEEE
Year: 2018
OAI identifier: oai:iris.polito.it:11583/2713006
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