DEVELOPMENT OF A UNIVERSAL ENERGY-EFFICIENT AUTOMATED METER READING SYSTEM USING ESP32-CAM
Abstract
The article discusses the design and development of a universal automated meter reading system capable of handling multiple resource types, including water, gas, and electricity. The developed system addresses common challenges associated with manual meter reading, such as accessibility, inconsistent data recording, and human error. The primary innovation presented is integrating the ESP32-CAM module to automate image capturing and data transmission to utility services through a user-friendly mobile application. Special emphasis is placed on optimizing energy efficiency to ensure extended device autonomy. The proposed system includes a robust algorithm for image preprocessing, meter reading validation, and secure wireless communication. Rigorous testing across Android and iOS platforms demonstrated the application's usability, functionality, and consistent performance. Optimization efforts significantly improved device battery life from approximately 50 days to four months. Future improvements are suggested, including developing a custom hardware board to reach the industry-standard operational duration of one year.
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