NourishNet – A IoT based Networked Fridge
Keywords:
LCD, Arduino UNO, Wi-Fi, IoTAbstract
Food spoilage is a significant contributor to waste, but the use of smart refrigerators powered by IoT can help reduce this problem. Incorporating IoT technology into refrigeration systems enhances the efficiency of food storage and management. These systems come with a variety of features, including dedicated applications that send alerts and updates to users. Smart refrigerators are designed to be intuitive, budget-friendly, and accessible remotely via smartphones or laptops. They allow users to monitor conditions such as temperature and humidity in real time. Additionally, they help maintain food freshness and provide instant alerts when any issues arise. This system is typically divided into three main modules: sensing, control, and transmission. The sensing module includes components like load cells and odour sensors. The control module features an Arduino UNO and a power supply, while the transmission module comprises an LCD screen and a Wi-Fi unit. These components work in coordination, continuously checking the refrigerator's status and providing regular updates to the user. Although this system collects a vast amount of data from sensors through constant monitoring, it also presents challenges in terms of data storage and analysis. This review paper examines how smart refrigerators function, the challenges they encounter, and the solutions proposed in recent research.
References
Khamali M, Usino W. IoT-based refrigerator monitoring system. IOP Conf Ser Mater Sci Eng. 2021;1071(1):012030.
Khan AU, Khan ME, Hasan M, Zakri W, Alhazmi W, Islam T. An efficient wireless sensor network based on the ESP-MESH protocol for indoor and outdoor air quality monitoring. Sustainability. 2022;14(24):16630.
Zhang Y, Wang L, Zhao Q. Smart refrigerator systems: A survey of recent developments and future trends. J Internet Things Smart Home Technol. 2021;5(2):101-12. doi:10.1016/j.iot.2021.05.003.
Dissing BS, Papadopoulou OS, Tassou C, Ersbøll BK, Carstensen JM, Panagou EZ, et al. Using multispectral imaging for spoilage detection of pork meat. Food Bioprocess Technol. 2013;6(9):2268-79.
Alimelli A, Pennazza G, Santonico M, Paolesse R, Filippini D, D’Amico A, et al. Fish freshness detection by a computer screen photoassisted based gas sensor array. Anal Chim Acta. 2007;582(2):320-8.
