Revolutionizing Home Safety: A Study on AI-Powered House Security
Author : Chetna Padhi, Shravani Shinde and Radhika Patwardhan
Abstract :
The pervasive adoption of Artificial Intelligence (AI) has raised concerns about its impact on human interaction and its transformative influence on various industries, including the automotive sector. In response to these technological advancements, we present an innovative approach to house security that harnesses the power of Artificial Intelligence and Machine Learning. Our system leverages AI to facilitate swift and autonomous security operations, reducing the reliance on conventional programming methods. Through the utilization of AI-driven Machine Learning algorithms, our solution efficiently processes data and executes tasks, enhancing the security framework's overall effectiveness. This abstract highlights our commitment to integrating AI into house security to create a smarter and more responsive protective environment.
Keywords :
Artificial intelligence, machine learning, voice recognition, face recognition, fingerprint recognition and sensors
