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
收藏
页码：119 / 124
页数：6
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