Naslov
MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices

Autori
Đokić, Kristian ; Radišić, Bojan ; Cobović, Mirko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Communications in Computer and Information Science / Brito-Loeza, C. ; Espinosa-Romero, A. ; Martin-Gonzalez, A. ; Safi, A. - Sharjah : Springer, 2020, 33-43

ISBN
978-3-030-43364-2

Skup
3rd International Symposium on Intelligent Computing Systems (ISICS 2020)

Mjesto i datum
Sharjah, Ujedinjeni Arapski Emirati, 18.03.2020. - 19.03.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Neural network ; ESP32 ; Arduino ; MicroPython

Sažetak
In the last few years, microcontrollers used for IoT devices became more and more powerful, and many authors have started to use them in machine learning systems. Most of the authors used them just for data collecting for ML algorithms in the clouds, but some of them implemented ML algorithms on the microcontrollers. The goal of this paper is to analyses the neural networks data propagation speed of one popular SoC (Espressif System company ESP32) with simple neural networks implementation with two different development environment, Arduino IDE and MycroPython. Neural networks with one hidden layer are used with a different number of neurons. This SoC is analysed because some companies started to produce them with UXGA (Ultra Extended Graphics Array) camera implemented and it can be used to distribute computing load from central ML servers.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

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