Image Polarity Detection on Resource-Constrained Devices
Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo
Abstract
Image polarity detection opens new vistas in the area of pervasive computing. State-of-the-art frameworks for polarity detection often prove computationally demanding, as they rely on deep learning networks. Thus, one faces major issues when targeting their implementation on resource-constrained embedded devices. This article presents a design strategy for convolutional neural networks that can support image-polarity detection on edge devices. The outcomes of experimental sessions, involving standard benchmarks and a pair of commercial edge devices, confirm the approach suitability.
Topics & Concepts
Computer sciencePolarity (international relations)Convolutional neural networkImage (mathematics)Enhanced Data Rates for GSM EvolutionResource (disambiguation)Artificial intelligenceDeep learningEdge detectionEdge computingHuman–computer interactionDistributed computingMachine learningImage processingComputer networkGeneticsCellBiologyNeural Networks and Reservoir ComputingOptical Polarization and EllipsometryRemote-Sensing Image Classification