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As smart home technology becomes more and more common, there is an increasing demand for user identification techniques that are both secure and energy-efficient. This study highlights the energy economy while introducing a novel automatic fingerprint security system for smart home applications. To increase security, the suggested solution uses a fingerprint scanner. Users may control various appliances and gadgets via a website or mobile app. By activating smart appliances based on user identification, the system actively helps energy saving and offers sophisticated security features, such as room-specific access and emphasizing user-centricity. The project includes both software and hardware elements, including a MongoDB database, Raspberry Pi microcontroller, fingerprint reader, and web based React JS control interface. Thorough testing and assessment confirm the system's ability to detect reliably.
Devanathan et al. (Thu,) studied this question.