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

被引：0

作者：

Hoan Nguyen Duc ^{[1
]}

Thao Nguyen Manh ^{[1
]}

Huy Trinh Le ^{[1
]}

Ferrero, Fabien ^{[2
]}

机构：

[1] Vietnam Natl Univ VNUHCM UIT, Univ Informat Technol, Ho Chi Minh City, Vietnam

[2] Univ Cote dAzur, CNRS, LEAT, Sophia Antipolis, France

来源：

2021 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC 2021) | 2021年

关键词：

LoRaWAN; Water Meter; Deep Learning; Automatic Meter Reading; Low Power; Image Processing In C/C plus; ROBUST;

D O I：

10.1109/ATC52653.2021.9598331

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 low-power consumption and long-range data communication. The accuracy of digit classification tasks reaches up to 98%. The lowest current consumption in active and sleep mode is 33.5 mA and 0.2 uA, respectively. With these specifications, the system proposal is proved to be low-power, low-cost, has a long-lasting operating time and can be deployed in widespread use.

引用

页码：119 / 124

页数：6

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