Nowadays, security applications are becoming increasingly popular and are being used in many real time scenarios. Visual surveillance is a promising method that allows for the detection, tracking, and recognition of certain objects using computer vision technology. While many methods have been developed for recognizing faces from images, new techniques have also been introduced for detecting faces in videos. These video-based methods provide additional information that can enhance security systems. "The use of facial recognition and location tracking technology on surveillance drones could greatly improve public safety and help law enforcement. This paper looks at the current state of research on these drones, including their main features, benefits, and challenges. his research utilized a structured development and testing approach, broken into multiple phases: system design, algorithm training, software integration, flight testing, and performance evaluation. Emphasis was placed on modular development to allow independent testing and upgrades of components (e.g., facial recognition, GPS tracking, alert system).