Real-time image processing application to detect water meter errors works by using a camera to continuously scan the meter face, identify displayed indicators and compare with reference data to detect errors immediately. When the camera records images, the system will automatically preprocess by filtering noise, increasing contrast and adjusting brightness to ensure clarity. Then, the recognition algorithm will identify the area containing the number on the watch face and convert the image to a suitable form to extract information. If the meter displays numbers, the system uses optical character recognition (OCR) technology to read the value. In the case of analog watches, the line detection algorithm will help determine the rotation angle of the hands, thereby calculating measurement data.

After collecting data, the application will compare the reading value with reference data to calculate the error. If it detects a difference exceeding the allowable level, the system will immediately display a warning on the screen by changing color or sending a notification. Users can monitor images and data in real time on the interface, which displays the status of the measurement with levels such as valid, warning of small errors or large errors that need to be checked immediately. In addition, the system can store measurement data for later analysis and reporting, helping to optimize the inspection process and minimize errors compared to manual recording methods.