Journal of Analytical and Applied Computer Sciences
Peer Reviewed Open Access Journal
ISSN: 3139-3349
Peer Reviewed Open Access Journal
ISSN: 3139-3349
The emergence of Internet of Things (IoT) has undoubtedly transformed safety, automation, and monitoring systems across various sectors, particularly in smart home environments. This study presents the design and implementation of an Internet of Things (IoT)-based real-time kitchen monitoring and automation system aimed at enhancing safety, efficiency, and intelligent control within kitchen environments. The system was developed to address the limitations of manual monitoring processes, which are often labor-intensive, error-prone, and unreliable in emergency situations. The system integrates multiple sensors to enable real-time alerts and automated responses. Wireless communication is achieved through a Wi-Fi network connected to the Blynk IoT platform, allowing remote monitoring via smartphones and laptops. Upon detection of hazardous conditions such as gas leakage, fire outbreak, abnormal temperature levels, motion intrusion, or low water levels, the system triggers local alarms and transmits notifications to users through the IoT dashboard. Sensor fusion techniques were applied to enhance data accuracy and reduce false alarms. Experimental evaluation was conducted under simulated real-world kitchen scenarios to assess responsiveness, accuracy, and reliability. The results demonstrated an overall system accuracy of 91.8%, with high detection reliability across all integrated sensors and minimal false positives.
Internet of Things (IoT), Real-Time Monitoring, Kitchen Automation, Smart Kitchen
Adebola Olayinka, A., Adewale Oluwadamilare, A., & Femi Emmanuel, A. (2021). Distance Measurement and Energy Conservation Using Arduino Nano and Ultrasonic Sensor. American Journal of Electrical and Computer Engineering, 5(2), 40. https://doi.org/10.11648/j.ajece.20210502.11
Adegoke, O., Mensah, J., & Thompson, R. (2024). A comparative analysis of Internet of Things (IoT) implementation in Ghana and the USA: Vision, architectural elements, and future directions. World Journal of Advanced Engineering Technology and Sciences, 11(1), 180–199.
Alex Thompson (2024). Sensor Fusion Techniques in Embedded Systems for Enhanced Data Accuracy. Department of Computer Engineering, Innovation University, Boston, USA
Alshammari, B. F., & Chughtai, M. T. (2020). IoT Gas Leakage Detector and Warning Generator. Engineering, Technology and Applied Science Research, 10(4), 6142–6146. https://doi.org/10.48084/etasr.3712
Amuta, E. O., Sobola, G. O., Eseabasi, O., Dike, H. N., Matthew, S., Agbetuyi, A. F., & Wara, S. T. (2024). Motion Detection System Using Passive Infrared Technology. IOP Conference Series: Earth and Environmental Science, 1342(1). https://doi.org/10.1088/1755-1315/1342/1/012001
Ann, C., & Student, L. (2024). Bluetooth-Based Home Automation System Using Android Phone Bluetooth Based Home Automation System Using Android Phone (ACM : IA-I-RRL-PM-R-A ). June.
Baballe, M. A., & Bello, M. I. (2022). Gas Leakage Detection System with Alarming System. Review of Computer Engineering Research, 9(1), 30–43. https://doi.org/10.18488/76.v9i1.2984
Bhawana Bharti, Indu Bharadwaj, & Ajay Bhardwaj, A. B. (2023). Smart Kitchen Using Iot. Global Journal of Innovation and Emerging Technology, 1(2), 27–31. https://doi.org/10.58260/j.iet.2202.0110
Favelli, S., Xie, M., & Tonoli, A. (2024). Sensor Fusion Method for Object Detection and Distance Estimation in Assisted Driving Applications. Sensors, 24(24), 1–21. https://doi.org/10.3390/s24247895
Gayaki, P., Kamat, T., Bangari, K., & Jarande, Y. (2023). Fully Automated Smart kitchen. 22(03), 925–931. http://ymerdigital.com
Hassan, C. A. U., Iqbal, J., Khan, M. S., Hussain, S., Akhunzada, A., Ali, M., Gani, A., Uddin, M., & Ullah, S. S. (2022). Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things. Energies, 15(18). https://doi.org/10.3390/en15186778
Karakaya, A. (2023). Motion Sensors: Enhancing Security and Automation. International Journal of Sensor Networks and Data Communications, 12(3), 1–2. https://doi.org/10.37421/2090-4886.2023.12.213
Kimutai, M. S., Kelvin, O. K., & Jasper, O. M. (2022). Challenges and Opportunities for Smart Homes Deployment in Developing Countries: A Case Study of the User Perspective in Kenya. OALib, 09(07), 1–8. https://doi.org/10.4236/oalib.1107679
Livinsa, Z. M., Valantina, G. M., Premi, M. S. G., & Sheeba, G. M. (2021). A modern automatic cooking machine using arduino mega and IOT. Journal of Physics: Conference Series, 1770(1). https://doi.org/10.1088/1742-6596/1770/1/012027
Lety Istikhomah Puspita Sari, E., & Ketut Agung Enriko, I. (2023). Design Gas LPG Leak Detection System Based on Internet of Things. JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah, 8(3), 1053–1060. http://jim.unsyiah.ac.id/sejarah/mm
Sodiq., B., & Mohammad., P. (2022). IoT based Kitchen Monitoring and Control System. International Journal of Computer Applications, 184(7), 30–34. https://doi.org/10.5120/ijca2022922034
Sari, D., & Enriko, F. (2023). IoT-based smart home gas leakage detection and prevention system. Journal of Emerging Trends in Engineering and Applied Sciences, 14(2), 101–109.
Singh, S., Anand, S., & Satyarthi, M. K. (2023). A Comprehensive Review of Smart Home Automation Systems. Advances in Computer Science and Information Technology (ACSIT), 10(2), 61–66. http://www.krishisanskriti.org/Publication.html
Sodiq, S. (2024). DESIGN AND CONSTRUCTION OF GAS LEAKAGE DETECTION AND ALERTING. October. https://doi.org/10.13140/RG.2.2.23406.01604
Teja, D., Kiran, M. S., Sudheer, A. V, Kumar, I. A., Departmentof, R., & Jyothi, K. (2022). IoT Based Fire Detection and Automatic Water Sprinkler System. International Journal of Engineering Applied Sciences and Technology, 6(12), 312–317. http://www.ijeast.com
Zabi, M. A. (2023). Gas leakage detection and alarm system using Arduino microcontroller, GPS module and exhaust fan [Unpublished master’s thesis]. Federal University of Kashere.
