In the contemporary world, with a growing number of individuals choosing to live alone, the security has emerged as a paramount concern. Although existing surveillance systems provide continuous monitoring capabilities, it is a significant challenge for humans to maintain a constant and vigilant watch over safety. To address this concern, the proposed system presents a swift, robust, resilient, and highly secure solution for safeguarding properties and valuable assets. It leverages advanced face recognition algorithms, specifically convolutional neural networks (CNN), in conjunction with motion detection and alert mechanisms. The system incorporates a passive infrared (PIR) sensor, which detects motion through infrared radiations. When human presence is detected within the monitored area, the system employs facial recognition technology. This technology cross-references the captured facial images with a secure database of registered faces. In the event that an unrecognized face is identified, an immediate alert is generated and sent to the user via email. By combining motion detection with advanced facial recognition technology, this system not only offers robust security but also minimizes false alarms, making it highly effective and reliable. It provides homeowners and property managers with unparalleled peace of mind. Consequently, this innovative security solution not only addresses the security needs of those living alone but also enhances the overall safety and protection of their premises and assets.