Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model Optimisation

Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model Optimisation

The response time of Artificial Neural Network (ANN) inference is critical in embedded systems processing sensor data close to the source. This is particularly important in applications such as predictive maintenance, which rely on timely state change predictions. This study enables estimation of mo...

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Bibliographic Details
Main Authors: Patrick Huber, Ulrich Göhner, Mario Trapp, Jonathan Zender, Rabea Lichtenberg
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Sensors
Subjects:
ANN inference
Tensorflow Lite
embedded systems
benchmarking
model calibration
response times
Online Access:https://www.mdpi.com/1424-8220/25/15/4769
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