Development of an Arduino-Based Water Level Indicator with Audio-Visual Alert Mechanisms
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Abstract
Monitoring water levels in tanks and reservoirs is essential to prevent overflow, dry running of pumps, and inefficient water usage. This study presents the design and implementation of a low-cost water level indicator and alert system based on Arduino, integrating a water level sensor, RGB LED indicators, and an audible buzzer. The proposed system detects discrete water levels using conductive probes or a resistive water level sensor placed at different heights inside a container. The Arduino microcontroller processes the sensor signals and provides real-time visual feedback through an RGB LED, where different colors represent low, medium, and high water levels. In addition, a buzzer is activated when the water reaches a critical threshold, serving as an audible warning to prevent overflow or system damage. The system architecture is simple, modular, and easy to implement, making it suitable for domestic water tanks, laboratories, and small-scale industrial applications. Experimental testing demonstrates that the system responds reliably to changes in water level, with minimal latency and stable operation under repeated trials. Compared to conventional mechanical float-based indicators, the proposed design offers improved flexibility, ease of maintenance, and expandability, such as integration with wireless modules or IoT platforms. The results show that combining visual (RGB LED) and audio (buzzer) indicators enhances user awareness and system usability. Overall, this Arduino-based water level indicator provides an effective, economical, and scalable solution for real-time water level monitoring and alerting, supporting efficient water management and resource conservation.
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References
M. T. Tabada, M. E. Loretero, and F. F. Lasta, “Investigation on the performance of a multi-wire water level detection system using contact sensing for river water monitoring,” SN Appl. Sci., vol. 2, no. 1, p. 77, Jan. 2020, doi: 10.1007/s42452-019-1887-0.
B. Shi, S. Catsamas, P. Kolotelo, and M. Wang, “A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks,” Sensors, vol. 21, no. 9, p. 3056, Apr. 2021, doi: 10.3390/s21093056.
J. H. Lee and J. K. Jung, “Development of Image-Based Water Level Sensor with High-Resolution and Low-Cost Using Image Processing Algorithm: Application to Outgassing Measurements from Gas-Enriched Polymer,” Sensors, vol. 24, no. 23, p. 7699, Nov. 2024, doi: 10.3390/s24237699.
D. Witczak and S. Szymoniak, “Review of Monitoring and Control Systems Based on Internet of Things,” Appl. Sci., vol. 14, no. 19, p. 8943, Sep. 2024, doi: 10.3390/app14198943.
K. Chan, D. N. Schillereff, J. Thompson, et al., “Low-cost electronic sensors for environmental research: Pitfalls and opportunities,” Prog. Phys. Geogr. Earth Environ., vol. 45, no. 3, pp. 305–338, Jun. 2021, doi: 10.1177/0309133320956567.
S. Gadekar, G. Kolpe, G. Rutuja, and V. Fatate, “Arduino Uno-ATmega328 P Microcontroller Based Smart Systems,” SSRN Electron. J., Jan. 2021, doi: 10.2139/ssrn.3920231.
Teena K. B, Rakshitha T. M, Ruchitha R, Varshita K, and Supriya H, “Prediction of Stress Level by Electronic Gadget Addiction Using AI and Machine Learning,” Int. J. Sci. Res. Sci. Technol., vol. 11, no. 3, pp. 286–293, May-Jun. 2024, doi: 10.32628/IJSRST.
S. Küçükdermenci and E. Ilten, “Arduino Based Fire Extinguisher Vehicle Design and Application,” Int. J. Adv. Nat. Sci. Eng. Res., vol. 9, no. 2, pp. 223–232, Feb. 2025, doi: 10.5281/zenodo.14897860
D. Alexandr, K. Batyr, and K. Aidos, “Development of a Model and Performance Analysis of the Characteristics of a Multifunctional Autonomous Unmanned Ground Vehicle,” Adv. Mater. Sci. Eng., vol. 2025, Art. no. 6614303, Aug. 2025, doi: 10.1155/amse/6614303.
S. F. Wang, H. C. Chung, T. H. Yang, and A. L. Liu, “A Study of Controlling Color Mixing of Red, Green, and Blue LEDs Based on Photometry Theory,” Sensor Lett., vol. 10, no. 5, pp. 1056–1062, May 2012, doi: 10.1166/sl.2012.2301.
D. Rapaccini, L. Falaschetti, S. Lissandron, M. Conti, S. Orcioni, and A. Morici, “Temperature Compensation for Chromatic Stability of RGBW LEDs in Automotive Interior Lighting,” Electronics, vol. 14, no. 17, Art. no. 3451, Sep. 2025, doi: 10.3390/electronics14173451.
A. Sarkar, “Development of a RGB LED based spectral tunable light source for in-house plantation,” Master’s thesis, Dept. Elect. Eng., Jadavpur Univ., Kolkata, India, 2023.
G. K. Adam and A. Tsangrassoulis, “Design and Development of a Low-Cost Educational Platform for Investigating Human-Centric Lighting (HCL) Settings,” Computers, vol. 13, no. 12, Art. no. 338, Dec. 2024, doi: 10.3390/computers13120338.
S. F. Wang, H. C. Chung, T. H. Yang, A. L. Liu, Y. F. C. Chau, J. H. Wei, and C. C. Liao, “A Study of Controlling Color Mixing of Red, Green, and Blue LEDs Based on Photometry Theory,” Sensor Lett., vol. 10, no. 5, pp. 1056–1062, May 2012, doi: 10.1166/sl.2012.2301.
T. Jadhav, A. Kale, S. Kakde, and S. Garud, “IoT-based Water Level Monitoring and Flood Alert System,” Int. J. Sci. Res. Sci. Technol., vol. 12, no. 5, pp. 240–244, Sep. 2025, doi: 10.32628/IJSRST251457.
M. Laksha and M. Bargavi, “Approach for Detecting Water Level and Quality with Alert Message,” Jain Univ. Res. Rep., Jun. 2023, doi: 10.5281/zenodo.7860957.
D. Rubin and M. A. D. Perin, “Buzzer Alarm System with The Help of Arduino,” Bohol Island State Univ. Res. Publ., Jun. 2022, doi: 10.13140/RG.2.2.29528.20486.
J. Yabo and M. A. D. Perin, “Working of Arduino GSM Security Alarm System,” Bohol Island State Univ. Res. Publ., Jun. 2022, doi: 10.13140/RG.2.2.10444.12163
S. A. Ajagbe, O. A. Adeaga, O. O. Alabi, A. B. Ikotun, and M. A. Akintunde, “Design and development of arduino-based automation home system using the internet of things,” Indonesian J. Electr. Eng. Comput. Sci., vol. 33, no. 2, pp. 767–776, Feb. 2024, doi: 10.11591/ijeecs.v33.i2.pp767-776.
L. M. Baicu, M. Andrei, and B. Dumitrascu, “Microcontroller-Based Platform for Lithium-Ion Battery Charging and Experimental Evaluation of Charging Strategies,” Technologies, vol. 13, no. 5, Art. no. 178, May 2025, doi: 10.3390/technologies13050178.
Y. Chen, H. Zhang, and S. Zhong, “Design and implementation of smart home system based on IoT,” Results Eng., vol. 24, Art. no. 103410, Dec. 2024, doi: 10.1016/j.rineng.2024.103410.
P. Amanatidis et al., “Intelligent Water Management Through Edge-Enabled IoT, AI, and Big Data Technologies,” IoT, vol. 7, no. 1, Art. no. 5, Jan. 2026, doi: 10.3390/iot7010005.
S. Ismail, D. W. Dawoud, N. Ismail, R. Marsh, and A. S. Alshami, “IoT-Based Water Management Systems: Survey and Future Research Direction,” IEEE Access, vol. 10, pp. 31336–31355, 2022, doi: 10.1109/ACCESS.2022.3163742.
M. K. Benhaoua et al., “SW3T-IoT: Smart Water Monitoring Based on a Three-Tier IoT Architecture,” IEEE Access, vol. 13, pp. 1-15, Dec. 2025, doi: 10.1109/ACCESS.2025.3640507.
I. Arpaci, A. Kaya, and M. Bahari, “Investigating the Influence of an Arduino-Based Educational Game on the Understanding of Genetics among Secondary School Students,” Sustainability, vol. 15, no. 8, Art. no. 6942, Apr. 2023, doi: 10.3390/su15086942.
J. Musić, I. Stančić, B. Džaja, and V. Pekić, “Image-Based Sensor for Liquid Level Monitoring during Bottling with Application to Craft and Home-Brewing,” Sensors, vol. 23, no. 16, Art. no. 7126, Aug. 2023, doi: 10.3390/s23167126.
Y. -W. Song, D. Kim, B. Ku, W. Seol, and S. -C. Yu, “Active Fiducial Marker-Based Precise Underwater Positioning System for Industrial and Robotics Applications,” IEEE Access, vol. 14, pp. 9139–9156, 2026, doi: 10.1109/ACCESS.2026.3654109.
P. Livinti, M. V. Tivlea, and P. S. Eugen, “Water Level Control and Monitoring System in a Tank Made With Arduino Uno and NodeMCU ESP8266 Development Boards,” Preprints, Apr. 2023, doi: 10.20944/preprints202304.0735.v1.
M. Shaaban, Y. Al-Hamidi, S. El-Borgi, and A. Krishnamoorthy, “Machine learning-driven in situ defect monitoring and real-time process control in directed energy deposition: Techniques, challenges, and future prospects,” Mater. Commun., vol. 51, Art. no. 114767, Feb. 2026, doi: 10.1016/j.mtcomm.2026.114767.
S. Kia and B. Leiding, “Intelligent Monitoring of BECS Conveyors via Vision and the IoT for Safety and Separation Efficiency,” Appl. Sci., vol. 15, no. 11, Art. no. 5891, Jun. 2025, doi: 10.3390/app15115891.
J. Yang and X. Huang, “Intelligent Planning Modeling and Optimization of UAV Cluster Based on Multi-Objective Optimization Algorithm,” Electronics, vol. 11, no. 24, Art. no. 4238, Dec. 2022, doi: 10.3390/electronics11244238.
