DEVELOPMENT OF A UNIVERSAL ENERGY-EFFICIENT AUTOMATED METER READING SYSTEM USING ESP32-CAM

  • Tetiana Korobeynikova PhD (Engineering), Associate Professor, Lviv Polytechnic National University, Ukraine https://orcid.org/0000-0003-2487-8742
  • Oleksandr Reminnyi PhD (Engineering), Assistant; Lviv Polytechnic National University, Ukraine https://orcid.org/0009-0005-5119-3695
  • Roman Baitala student of the Department of Computerised Automation Systems; Lviv Polytechnic National University, Ukraine
  • Vladyslav Kyryk student of the Department of Computerised Automation Systems; Lviv Polytechnic National University, Ukraine
  • Danylo Stetskyi student of the Department of Computerised Automation Systems; Lviv Polytechnic National University, Ukraine
Keywords: automated meter reading, ESP32-CAM, IoT, energy efficiency, mobile application, neural network, utility management

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.

Downloads

Download data is not yet available.

References

Das, M., Kaur, A., Sadiq, S., Ekka, G.S., Ghosh, T.K. (2024). Hybrid home automation system using IoT. In Advances in Networks, Intelligence and Computing, pp.198-209. CRC Press ISBN 9781003430421

Zubkov, O.V., Yakovenko, O.C., Starokozev, C.V., Skorbatuk, M.V. (2024). Development and research of an algorithm for automated recognition of gas meter readings. Radiotekhnika, (219) , 46-52 [in Ukrainian] DOI: https://doi.org/10.30837/rt.2024.4.219.05

Labunsky, V., Zaschepkina, N., Labunskaya, A. (2023). Improving the method of water meter calibration. Measuring and computing devices in technological processes, (2), 67-71. [in Ukrainian]. DOI: https://doi.org/10.31891/2219-9365-2023-74-22

AlRuwais, S., AlQahtani, R., AlHajri, N., AlHashim, B., Bashar, A., & AlZubaidi, L. (2021). S-LIGHT: Smart LED Lamppost using PWM-based Adaptive Light Controller. In 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) (pp. 325-331). IEEE. DOI: https://doi.org/10.1109/CSNT51715.2021.9509652

Navarrete-Sanchez, M. A., Olivera-Reyna, R., Olivera-Reyna, R., Perez-Chimal, R. J., & Munoz-Minjares, J. U. (2025). IoT-Based Classroom Temperature Monitoring and Missing Data Prediction Using Raspberry Pi and ESP32. Journal of Robotics and Control (JRC), 6(1), 234-245 DOI: https://doi.org/10.18196/jrc.v6i1.24345

Abadade, Y., Temouden, A., Bamoumen, H., Benamar, N., Chtouki, Y., & Hafid, A. S. (2023). A comprehensive survey on tinyml. IEEE Access, 11, 96892-96922. DOI: https://doi.org/ 10.1109/ACCESS.2023.3294111

Kaur, A., Jadli, A., Sadhu, A., Goyal, S., & Mehra, A. (2021). Cloud based surveillance using ESP32 CAM. In 2021 international conference on intelligent technology, system and service for internet of everything (ITSS-IoE) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/ITSS- IoE53029.2021.9615334

Kumar, S., Sharma, K., Raj, G., Datta, D., Ghosh, A. (2022). Arduino and ESP32-CAM-Based Automatic Touchless Attendance System. In: Sikdar, B., Prasad Maity, S., Samanta, J., Roy, A. (eds) Proceedings of the 3rd International Conference on Communication, Devices and Computing. ICCDC 2021. Lecture Notes in Electrical Engineering, vol 851. Springer, Singapore. DOI https://doi.org/10.1007/978-981-16-9154-6_14

R. R. PBV, V. Sonaleo Mandapati, S. L. Pilli, P. Lahari Manojna, T. H. Chandana and V. Hemalatha, "Home Security with IOT and ESP32 Cam - AI Thinker Module," 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS), Coimbatore, India, 2024, pp. 710-714, DOI: https://doi.org/10.1109/ICC-ROBINS60238.2024. 10533960

Published
2025-07-15
Cited
How to Cite
Korobeynikova, T., Reminnyi, O., Baitala, R., Kyryk, V., & Stetskyi, D. (2025). DEVELOPMENT OF A UNIVERSAL ENERGY-EFFICIENT AUTOMATED METER READING SYSTEM USING ESP32-CAM. Computer Science and Cybersecurity, (1), 33-40. https://doi.org/10.26565/2519-2310-2025-1-03
Section
Статті