Enhancing the Stability of Light-Responsive Automatic Door Systems Against Sudden Light Changes
Main Article Content
Hasan Hüseyin Çevik*
Okan Uyar
In this study, a low-cost and light-responsive automatic chicken coop door system was developed. The system was designed to operate stably under sudden changes in ambient light conditions. The system was designed to address instability issues commonly encountered in coop doors that are required to open and close based on daylight conditions. For this purpose, a light testing cabinet was constructed and various illumination levels were tested using LDR and BH1750 light sensors along with optical diffusers. Regression models were developed to convert the analog data from the LDR circuit into lux values. Moreover, statistical filtering methods such as the Interquartile Range (IQR) and Z-Score were applied to prevent system instability caused by sudden changes in lighting (e.g., vehicle headlights, passing clouds). The effectiveness of the filtering methods was analyzed using both artificially generated data from the light test cabinet and real minute-based solar irradiance data collected from a meteorological station. The developed system achieved enhanced sensor accuracy and operational stability through the use of low-cost components and the integration of an outlier detection module. Test results showed that the regression model used for lux estimation based on LDR readings achieved an R² value of 0.97, and the application of IQR and Z-Score filtering methods successfully removed outliers, resulting in improved operational stability under variable lighting conditions. The proposed approach offers a versatile solution for various sensor-driven control systems, including automatic doors and smart home applications.
Abdulkareem, A., Somefun, T., Oguntosin, V., & Adeyemi, B. (2021). Design and Construction of a Weather-Based Automatic Sliding Window. IOP Conference Series: Materials Science and Engineering,
Basciftci, F., Ağbahca, E., Uyar, K., Acar, Z. Y., & Tezcan, B. (2022). Selçuk weather station and web-mobile applications. International Journal of Applied Mathematics Electronics and Computers, 10(2), 28-38.
Benallal, H., Abouelaziz, I., Mourchid, Y., Al Falou, A., Tairi, H., Riffi, J., & El Hassouni, M. (2022). A new approach for removing point cloud outliers using the standard score. Pattern Recognition and Tracking XXXIII,
Chigwada, J., Mazunga, F., Nyamhere, C., Mazheke, V., & Taruvinga, N. (2022). Remote poultry management system for small to medium scale producers using IoT. Scientific African, 18, e01398. https://doi.org/https://doi.org/10.1016/j.sciaf.2022.e01398
Gandhimathi, P., Diwakaran, S., Kumar, N. R., Bohidar, S. K., & Karthik, K. (2024). Automatic Door Closure System Based on Lighting Conditions. 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT),
Islam, A., Emon, I., & Hasan, Z. (2014). Development of a Control System and Modelling of an Automatic Window. International Conference on Mechanical, Industrial and Energy Engineering 2014
Jamshidi, E. J., Yusup, Y., Kayode, J. S., & Kamaruddin, M. A. (2022). Detecting outliers in a univariate time series dataset using unsupervised combined statistical methods: A case study on surface water temperature. Ecological Informatics, 69, 101672.
Kwak, S. K., & Kim, J. H. (2017). Statistical data preparation: management of missing values and outliers. Korean journal of anesthesiology, 70(4), 407. https://doi.org/https://doi.org/10.4097/kjae.2017.70.4.407
Nishida, D., Tsuzura, K., Kudoh, S., Takai, K., Momodori, T., Asada, N., Mori, T., Suehiro, T., & Tomizawa, T. (2014). Development of intelligent automatic door system. 2014 IEEE International Conference on Robotics and Automation (ICRA),
Nur Rokhman, Y. K. C. (2016). Outlier Detection on Mixed Type Data by Using AVF and Z-Score Algorithm The 10th International Conference on Strength Training, Kyoto, JAPAN.
Nurhaliza, R. A., Octava, M. Q. H., Hilmy, F. M., Farooq, U., & Alfian, G. (2024). Application of the outlier detection method for web-based blood glucose level monitoring system. Bulletin of Electrical Engineering and Informatics, 13(4), 2809-2816.
Pandini, J., bin Zulkipli, M. A., & Putri, F. (2024). Concept Development of Automatic Sliding Door and Light Using NodeMCU Sensor. International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS), 2(1), 20-25.
Report, Q. (2025). Global Outdoor Automatic Chicken Coop Door Sales Market Report, Competitive Analysis and Regional Opportunities 2025-2031. Qyresearch. https://www.qyresearch.com/reports/3682110/outdoor-automatic-chicken-coop-door
Sasirekha, R., Kaviya, R., Saranya, G., Mohamed, A., & Iroda, U. (2023). Smart poultry house monitoring system using IoT. E3S Web of Conferences,
Zhang, C. (2024). Design of Automatic Door and Window Closing System. 2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA),
