• Swetha A
• Anand M
• Aravind V
• K G Dhanya Jogi
• Tejas J Kumar

In contemporary port management, ensuring comprehensive security measures is imperative for safeguarding assets, personnel, and infrastructure. This research introduces a novel approach to port area surveillance leveraging drone technology integrated with facial recognition capabilities. The proposed system is designed to autonomously detect and track individuals within the port vicinity, enhancing monitoring efficiency and response times. Through the fusion of advanced computer vision algorithms and unmanned aerial vehicles (UAVs), the system can identify individuals, follow their movements in real-time, and transmit high-definition recordings to administrative centers for further analysis. By employing drones equipped with facial recognition technology, this system offers a dynamic and flexible solution for port security, enabling proactive measures to mitigate potential threats and streamline surveillance operations. The integration of artificial intelligence algorithms ensures accurate identification and tracking of individuals while minimizing false positives. This research underscores the significance of innovative technological solutions in enhancing port security and presents a viable framework for the implementation of drone-based surveillance systems in port environments.

Sky Sentry Network, Aerial Guardian Technology, Port watch Initiative, Drone Eye Security Protocol, Airborne Harbor Vigilance

"DRONE BASED SURVEILLANCE SYSTEM FOR PORT AREAS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.555-562, May-2024, Available :http://www.jetir.org/papers/JETIRGG06087.pdf

"DRONE BASED SURVEILLANCE SYSTEM FOR PORT AREAS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp555-562, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06087.pdf