Edge Computing for Smart Stove in Home Automation

The Internet of Things (IoT) is a network of connected things including sensors, processing capabilities, software, and other technologies. The internet or other communication networks are used to communicate and share data among different devices and systems. S mart embedded systems have emerged as the most popular area of study. In particular, IoT-based systems plays a crucial role in establishing a device connectivity. The proposed project employs Machine Learning (ML) algorithms such as Haar Cascade and MobileNet V2 along with the Convolution Neural Networks (CNN) to build a smart stove with a face and age identification function. The device user’s age will be determined from a live video footage. The main concept of the proposed research work is to restrict the users based on their age factor; provide safety measures whenever a liquid petroleum gas leakage is detected. Preventive measures initiated from the proposed module include shutting OFF lights or other electric items that have been switched ON, activating the exhaust fan, and sending an emergency message to the owner of the gas if it is identified. The proposed smart stove module is IoT-based and offers safety measures without requiring any human intervention.