DOI - Mendel University Press

DOI identifiers

DOI: 10.11118/978-80-7509-990-7-0120

MICROCONTROLLERS SUITABLE FOR ARTIFICIAL INTELLIGENCE

Petr Pernes1, Miroslav Jaro¹1, Jiøí Podivín1, Oldøich Trenz1
1 Department of Informatics, Faculty of Business and Economics Mendel University in Brno, Zemìdìlská 1, 613 00 Brno-sever, Czech republic

Artificial intelligence (AI) has become increasingly prevalent in various applications, from self-driving cars to facial recognition. However, the implementation of AI on resource-constrained devices such as microcontrollers has been a challenge due to the limited computational power and memory. In recent years, advances in AI technology and the development of specialized hardware have enabled the realization of AI on microcontrollers. This opens new opportunities for AI applications in domains such as embedded systems, the Internet of Things (IoT), and wearable devices. This article provides an overview of microcontrollers suitable for AI, discusses their benefits and challenges, presents a methodology for selecting suitable microcontrollers for AI applications, and highlights the criteria essential for effective implementation. Additionally, initial results from applying this methodology, including a comparative analysis of various microcontrollers, are discussed. Key findings emphasize the potential of specific microcontrollers like ARM Cortex-M7, Arm Ethos-U55, STMicroelectronics STM32F429, and Espressif ESP32-S3/C3 in AI applications. Future directions for the evolution of AI-enabled microcontrollers are also explored.

Keywords: Embedded systems, Internet of Things (IoT), Real-time processing, Power consumption, Hardware acceleration, Machine learning, Neural networks

pages: 120-126, online: 2024



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