Integrating Precision and Sustainability: Design and Evaluation of a Cost-Effective Digital Weight Measurement System Powered by Arduino for Real World Applications
Keywords:
Economic Sustainability, Industry 5.0, Load Cell, Low-Cost DesignAbstract
In the era of Industry 5.0, the demand for affordable, precise and sustainable industrial solutions is rapidly increasing. This paper presents the design and implementation of a low-cost, high-capacity (up to 100 kg) digital weight scale based on the Arduino platform. The system utilizes a strain gauge load cell with an HX711 24-bit analog-to-digital converter for accurate weight sensing and amplification. An Arduino Nano microcontroller processes the digitized sensor data and drives a 16×2 LCD module for real-time display. Calibration is performed using standard weights, achieving an accuracy of ±0.1 kg across the measurement range. The proposed system reduces cost by approximately three times compared to commercial 100 kg scales, while maintaining high precision and reliability. The scale is suitable for real world applications. Emphasizing sustainability, the system uses energy efficient, widely available components and a modular design for easy repair and maintenance. This solution provides a practical, scalable and human centric approach, aligning with Industry 5.0 principles.
Downloads
References
[1] Rahman, M., Islam, T., & Akter, F. (2023). Weighing practices in rural agricultural markets of Bangladesh. *Journal of Rural Development, 45*(2), 101--112.
[2] Hossain, A. S. M., Das, S. K., & Chowdhury, R. (2023). Design of Arduino-based digital weighing systems. *International Journal of Embedded Systems, 19*(4), 215--223.
[3] Sarker, S. K. (2022). Repair and maintenance challenges of digital weighing machines in Bangladesh. *Bangladesh Journal of Engineering, 12*(1), 55--63.
[4] Ahmed, M., Rahim, N., & Hasan, K. (2023). High-capacity digital weighing scale design using Arduino and HX711 ADC. *Journal of Measurement Science, 34*(3), 145--153.
[5] Bangladesh Electronics Traders Association. (2024). *Market price list of commercial weighing machines*. Dhaka, Bangladesh.
[6] Pandey, J. K., Kotti, J., Parimita, Dhabliya, D., Sharma, V., Choudhary, S., & Anand, R. (2024). Integration of nature-inspired mechanisms to machine learning in real time sensors, controllers, and actuators for industrial automation. In N. Sindhwani, R. Anand, A. George, & D. Pandey (Eds.), *Robotics and automation in Industry 4.0* (pp. 1–25). CRC Press. https://doi.org/10.1201/9781003317456
[7] Pandey, J. K., Das, S., Vats, P., Dhabliya, D., Jaiswal, S., Manikandan, K., & Pandey, D. (2024). The implications of cloud computing, IoT, and wearable robotics for smart healthcare and agriculture solutions. In N. Sindhwani, R. Anand, A. George, & D. Pandey (Eds.), *Robotics and automation in Industry 4.0* (pp. 26–45). CRC Press. https://doi.org/10.1201/9781003317456
[8] Field survey conducted by the authors. (2025, March). *Rajshahi electronics market survey*. Rajshahi, Bangladesh.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal Press

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0): anyone may copy, redistribute, remix, transform, and build upon the material in any medium or format for any purpose, including commercially, provided appropriate credit is given to the original authors and a link to the licence is provided.