Design and Construction of IoT-Based Smart Wardrobe with RGB Sensor and Sound Sensor
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Abstract
This research aims to design and build a smart wardrobe based on the Internet of Things (IoT) equipped with color sensors and sound sensors. This cabinet is designed to make it easier for users to organize and find the clothes they want with the help of advanced technology. The color sensor will detect the color of the garment and allow the system to suggest a combination of garments that suit the user's preferences. Meanwhile, the voice sensor allows for control of the wardrobe through voice commands, providing convenience for users to access clothes without having to open the closet door manually. This smart cabinet uses microcontroller-based hardware connected to a mobile app to manage and monitor the status of cabinets. The integrated IoT system allows the cabinet to function automatically and respond quickly to the input received from the sensors. The results of this research are expected to produce more efficient devices for organizing and searching for clothes, as well as provide a more interactive and practical user experience. In addition, by optimizing IoT technology, this research aims to introduce a more sophisticated smart home concept, with a wardrobe as one of the elements that support the ease of daily life.
Keywords: Arduino, Sound sensor, Color sensor.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Bhadoria, R. K., Saha, J., Biswas, S., & Chowdhury, C. (2021). IoT-based location-aware smart healthcare framework with user mobility support in normal and emergency scenario: a comprehensive survey. Healthcare Paradigms in the Internet of Things Ecosystem, 137-161.
Diraco, G., Rescio, G., Siciliano, P., & Leone, A. (2023). Review on human action recognition in smart living: Sensing technology, multimodality, real-time processing, interoperability, and resource-constrained processing. Sensors, 23(11), 5281.
Dudhe, P. V., Kadam, N. V., Hushangabade, R. M., & Deshmukh, M. S. (2017, August). Internet of Things (IOT): An overview and its applications. In 2017 International conference on energy, communication, data analytics and soft computing (ICECDS) (pp. 2650-2653). IEEE.
Faria, R., Brito, L., Baras, K., & Silva, J. (2017, July). Smart mobility: A survey. In 2017 International conference on internet of things for the global community (IoTGC) (pp. 1-8). IEEE.
Feriyanti, R. V., Pratama, A. Y., & Novianto, D. (2022). Analysis of Temperature Monitoring System with LM35 Sensor Using OHP (Over Head Projector) Based on Raspberry Pi. Journal of Applied Electrical Engineering, 6(2), 43-47.
Gokhale, P., Bhat, O., & Bhat, S. (2018). Introduction to IOT. International Advanced Research Journal in Science, Engineering and Technology, 5(1), 41-44.
Kamal, M. A. (2024). Implementation of fuzzy mamdani logic on a prototype of a residential flood early handling system using an internet of things device (Bachelor's thesis, Faculty of Science and Technology UIN Syarif HIdayatullah Jakarta).
Kothari, S. M., Khedkar, V. N., Jadhav, R., & Bawiskar, M. (2023). Analysis of RGB Depth Sensors on Fashion Dataset for Virtual Trial Room Implementation. Research Trends in Artificial Intelligence: Internet of Things, 203.
Madakam, S., Ramaswamy, R., & Tripathi, S. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3(5), 164-173.
Meshram, V. V., Patil, K. R., Meshram, V. A., & Bhatlawande, S. (2022). SmartMedBox: A smart medicine box for visually impaired people using IoT and computer vision techniques. Revue d'Intelligence Artificielle, 36(5), 681.
Ningtias, D. W. A., Pratama, A. Y., Usman, D., & Humaidi, H. N. A. (2024). Analysis Of Lighting Standards, A Case Study Of The Electrical Technology Building Of The Indorama Engineering Polytechnic. Ramatekno, 4(2), 34-43.
Petrushin, A., Freddolini, M., Barresi, G., Bustreo, M., Laffranchi, M., Del Bue, A., & De Michieli, L. (2022). IoT-powered monitoring systems for geriatric healthcare: overview. Internet of Things for Human-Centered Design: Application to Elderly Healthcare, 99-122.
Ponnusamy, S., Bora, V., Daigavane, P. M., & Wazalwar, S. S. (Eds.). (2024). Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing. IGI Global.
Prakasa, F. B. P., & Maiga, J. (2019, March). Iot-based smart and healthy wardrobe system. In 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT) (pp. 119-123). IEEE.
Pratama, A. Y., & Setiawan, D. (2024). THE TRAINING OF TEMPERATURE MONITORING SYSTEM WITH LM35 SENSOR BASED ON RESBEERY PI. Jurnal Abdisci, 1(12), 455-462.
Pratama, A. Y., Asry, D. W., Usman, D., Asmoro, P. T., & Siswoyo, F. (2024). The Power Factor Optimization with Cos Phi Mode Trainee. Journal of Improsci, 2(2), 95-109.
Pratama, A. Y., Prasetijo, A. B., & Sofwan, A. (2023). Evaluation of the performance of broadcast vehicular ad hoc network (vanet) routing. Technomedia Journal, 8(2 Special Issues), 236-247.
Sharma, A., Misra, A., Subramaniam, V., & Lee, Y. (2019, November). SmrtFridge: IoT-based, user interaction-driven food item & quantity sensing. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems (pp. 245-257).
Sudirman, S., Wulan, N., Ramadhani, S. F., Tanniewa, A. M., Pratama, A. Y., Akram, R., ... & Alfath, I. (2024). Information Technology Basics for Beginners. Our Writing Foundation.
Zafeiriou, I. (2020, October). IoT and mobility in smart cities. In 2020, 3rd World Symposium on Communication Engineering (WSCE) (pp. 91-95). IEEE.