Publication

Abstract : 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.