A Smart Water Metering System Based on Image Recognition and Narrowband Internet of Things

Guoxing Jin, Kai Bai, Yixian Zhang, Han He
<span title="2019-10-30">2019</span> <i title="International Information and Engineering Technology Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x6c3xwfadnbefpfn6owxdu3o2y" style="color: black;">Revue d&#39;intelligence artificielle : Revue des Sciences et Technologies de l&#39;Information</a> </i> &nbsp;
This paper designs a smart water metering system based on Narrowband Internet of Things (NB-IoT) and image recognition. Centering on an STM32F103ZET6 microcontroller unit (MCU), the system mainly consists of an OV7725 camera module, a secure digital (SD) card module, a liquid crystal display (LCD) module, an NB-IoT data transmission module and other peripherals. The original image of the water meter is preprocessed by graying, edge extraction, Otsu's binarization and tilt correction. Then, the
more &raquo; ... igits in the preprocessed image are recognized by a convolutional neural network (CNN) model. The effectiveness of the proposed system was verified through an experiment. Our system greatly reduces the workload and simplifies the process of water management, shedding new light on the application of information technology and the AI in water management. Keywords: smart water meter, narrowband internet of things (NBIoT), image processing, convolutional neural network (CNN), digit recognition
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18280/ria.330405">doi:10.18280/ria.330405</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/giq7idy33bfthlaslvvtxotp6u">fatcat:giq7idy33bfthlaslvvtxotp6u</a> </span>
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