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 digits 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.
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Guo-Xing et al. (2019) studied this question.