TinyML: analysis of Xtensa LX6 microprocessor for neural network applications by ESP32 SoC

MZH Zim - arXiv preprint arXiv:2106.10652, 2021 - arxiv.org
In recent decades, Machine Learning (ML) has become extremely important for many
computing applications. The pervasiveness of ultra-low-power embedded devices such as …

[HTML][HTML] Эффективное внедрение цифровых технологий в сфере газоснабжения

ТН Белоглазова, ТН Романова - Проблемы региональной …, 2022 - cyberleninka.ru
Работа посвящена совершенствованию процессов внедрения цифровых технологий в
систему газоснабжения для повышения ее эффективности и надежности. Цель работы …

MicroPython or Arduino C for ESP32-efficiency for neural network edge devices

K Dokic, B Radisic, M Cobovic - International Symposium on Intelligent …, 2020 - Springer
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 …

Noise pollution monitoring using mobile crowd sensing and SAP analytics

IC Parvan, G Danciu, T Balan - 2021 16th International …, 2021 - ieeexplore.ieee.org
Safe administration of the cities from environment point of view is part of the focus of smart
cities related to improving the quality of life of inhabitants. This paper presents a solution to …

Research and Implement Embedded Artificial Intelligence in Low-Power Water Meter Reading Device

HN Duc, TN Manh, HT Le… - … Conference on Advanced …, 2021 - ieeexplore.ieee.org
This paper presents a system using artificial intelligence deployed on ESP32-Cam to
conduct OCR on water meter readings. Data transmission through LoRa technology ensures …

Effective implementation of digital technologies in the field of gas supply

Т Белоглазова, Т Романова - Problemele Energeticii Regionale, 2022 - ibn.idsi.md
The work is devoted to improving the processes of digital technologies introduction in the
field of the gas supply system on a methodological basis to enhance efficiency and …

Analysis of ESP32 SoC for feed-forward neural network applications

K Dokic, D Mandusic, B Radisic - … Conference Europe Middle East & North …, 2019 - Springer
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 …

Remote Monitoring System for Electricity Meter Using ESP32CAM and OCR Analysis using MATLAB

MSM Shaleh, KS Chia - Evolution in Electrical and Electronic …, 2024 - penerbit.uthm.edu.my
The increasing demand for effective and intelligent energy management systems has
prompted the advancement of sophisticated technologies for the real-time monitoring of …

The Design Scheme of OCR and Analysis Platform for Power Meter Identification

Z Huang, Z Wang, Z Chen, Y Gong… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper proposes a new design scheme for an OCR platform. The scheme first pre-trains
the model on a standard dataset to improve its basic recognition ability, and then fine-tunes …

Implementing AI on low-power embedded devices for digital water meter identification and data transfer via lora network

TV Hien - Tạp chí Khoa học và Công nghệ-Đại học Đà Nẵng, 2024 - jst-ud.vn
This study introduces an artificial intelligence system implemented on the ESP32-CAM
platform, aimed at conducting optical character recognition (OCR) on water meters …