Exploring Smartphone-Based Edge AI Inferences Using Real Testbeds

The increasing availability of lightweight pre-trained models and AI execution frameworks is causing edge AI to become ubiquitous. Particularly, deep learning (DL) models are being used in computer vision (CV) for performing object recognition and image classification tasks in various application do...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2025-05, Vol.25 (9), p.2875
Main Authors: Hirsch, Matías, Mateos, Cristian, Majchrzak, Tim A.
Format: Article
Language:English
Subjects:
Analysis
Architecture
Cloud computing
cluster computing
Collaboration
Communication
Distributed processing
edge AI
Energy consumption
energy efficiency
Infrastructure
Machine vision
Neural networks
Power
Remote computing
Smart phones
Smartphones
Workloads
Citations: Items that this one cites
Online Access:Get full text
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