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Image Classification on Resource-Constrained Microcontrollers | IEEE Conference Publication | IEEE Xplore

Image Classification on Resource-Constrained Microcontrollers


Abstract:

Recently, as IoT devices have become popular, research to perform deep learning in small devices such as micro-controllers has been attempted. Microcontrollers have very ...Show More

Abstract:

Recently, as IoT devices have become popular, research to perform deep learning in small devices such as micro-controllers has been attempted. Microcontrollers have very limited resources compared to edge devices such as mobiles. Therefore, in order to perform deep learning-based image classification in a microcontroller, an optimization technique considering HW constraints is required. To this end, in this paper, we present a method for light weighting a model so that it can be executed in a microcontroller, and a process for distributing the lightweight model to a microcontroller. Finally, it was confirmed that image classification can be performed in an actual microcontroller through STM32F746G-Discovery.
Date of Conference: 11-13 October 2023
Date Added to IEEE Xplore: 23 January 2024
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Conference Location: Jeju Island, Korea, Republic of

Funding Agency:


References

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