Enhancing Home Security with Telegram Bots: Bridging Facial Recognition Technologies for Real-Time Alert Systems

In recent times, the alarming rise in criminal activities has significantly magnified concerns about home security. Parallelly, technological advancements have spearheaded a revolutionary transformation in the realm of home security solutions. Our research embarks on a journey to formulate a groundbreaking home security framework. The system harnesses the immediacy of Telegram bots for instantaneous communication and pairs it with the exactitude of the Fisherface and Haar Cascade facial recognition techniques. Evaluating the system, we delineated its efficiency under three distinct data distribution paradigms: 90%-10%, 80%-20%, and the standout performer, 70%-30% for training and testing, respectively. Remarkably, the 70/30 configuration exhibited superior metrics, especially with an impressive El-Score peaking at 0.99. In real-world application trials utilizing the Telegram bot interface, our solution demonstrated remarkable proficiency, accurately identifying familiar faces, and crucially, flagging unknown ones. Subsequently, real-time notifications were dispatched to registered users, ensuring prompt and actionable alerts. Conclusively, this research unfurls a cutting- edge home security blueprint, orchestrating the synergy of Telegram bots with pioneering facial recognition technologies. This culmination not only fortifies home protection but also magnifies the ease and convenience for users, making residential environments safer and smarter.