Digital Lux Meter: High-Precision I2C-Based Light Intensity Measurement System

Authors

  • Shivshankar S. Kore, Ninisha R. Patil, Gaurang S. Tawde, Shriganesh R. Yadav

Keywords:

Digital Lux meter, High-Precision Light Sensing, I2C Communication Protocol, BH1750 Ambient Light Sensor, Embedded System Integration

Abstract

The advancement and implementation of precision light measurement systems in embedded systems engineering remains an important area of research. The work presented here details a comprehensive effort in developing an advanced digital Lux meter using the latest I2C communication and advanced light sensing technologies. This work attempts to resolve some fundamental issues encountered while measuring light intensity through: advanced digital light sensing using high precision sensor technologies, implementation of an optimized I2C communication protocol, mimicking the function of a robust embedded system with a focus on increased accuracy of measurement, modular (hardware) architecture design that allows for flexible configuration, and an in-depth investigation of signal processing and data conversion methods. The work demonstrated an approach toward developing a high-resolution Lux meter that consists of current microcontroller and sensor technologies. The implementation specifically concentrates on decentralized, technical accuracy, communication accuracy, and developing a system of sensor integration that offers a comprehensive layout toward developing advanced light measurement systems within embedded system applications. The physical design achieves an accuracy of 0.5 Lux, while relying on the programmes communication room as a robust communication protocol for reliable data acquisition and transmission amongst the presented operational conditions (temperature, humidity, and variation of intensity of lumens.).

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References

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Published

20.12.2024

How to Cite

Shivshankar S. Kore. (2024). Digital Lux Meter: High-Precision I2C-Based Light Intensity Measurement System. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 5779 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7640

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

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