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Conference Paper
Image Classification on Resource-Constrained Microcontrollers
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- Authors
- Seungtae Hong, Gunju Park, Jeong-Si Kim
- Issue Date
- 2023-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1453-1455
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently, as IoT devices have become popular, research to perform deep learning in small devices such as microcontrollers 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.
- KSP Keywords
- Edge devices, Image classification, IoT Devices, Learning-based, Light weighting, Lightweight model, Limited resources, Optimization techniques(OT), Resource-constrained, Small devices, deep learning(DL)