Performance evaluation of image classification models on resource-constrained STM32 microcontrollers

Deploying deep learning on microcontrollers offers real-time intelligence at the edge, but tight memory and compute budgets complicate design choices. This study evaluates image classification on the STM32H747IDISCO using a compact convolutional neural network trained on five board classes (Arduino...

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Main Authors:	Md Salim, Sani Irwan, Mohd Shaifullizan, Muhammad Aiman Akmal, Mohd Zin, Mohd Shahril Izuan, Samsudin, Sharatul Izah, Awang Md Isa, Azmi
Format:	Article
Language:	en
Published:	Research and Scientific Innovation Society 2025
Online Access:	http://eprints.utem.edu.my/id/eprint/29506/2/003291501202612022919.pdf http://eprints.utem.edu.my/id/eprint/29506/ https://rsisinternational.org/journals/ijriss/view/performance-evaluation-of-image-classification-models-on-resource-constrained-stm32-microcontrollers https://dx.doi.org/10.47772/IJRISS.2025.910000238
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