AI-Powered UAV-Patrolling Drone For Real-Time Unauthorized Person Detection
AI-Powered UAV-Patrolling Drone For Real-Time Unauthorized Person Detection
Khurram Iqbal,Muhammad Saad Bin Ehtisham,3 Authors,Khalil ur Rahman
TLDR
An AI-powered UAV-patrolling drone system for real-time unauthorized person detection has been proposed, incorporating advanced facial recognition using Dlib-HOG, CNN, VGG-Face, Google FaceNet, and OpenFace, along with comprehensive facial analysis.
Abstract
In the modern era, the integrity and safety of secure environments have become critically important. To address these challenges, an AI-powered UAV-patrolling drone system for real-time unauthorized person detection has been proposed. This drone executes predetermined flight paths, strategically covering surveillance gaps left by static CCTV cameras or human guards. The system integrates multiple state-of-the-art technologies, incorporating advanced facial recognition using Dlib-HOG, CNN, VGG-Face, Google FaceNet, and OpenFace, along with comprehensive facial analysis, providing real-time analysis of race, age, gender, and facial expressions. This technology is especially valuable for securing large venues, critical infrastructure, and high-profile events where unauthorized access poses significant risks. The system's hybrid architecture allows for optimal performance across different lighting conditions, angles, and crowd densities, setting a new standard for intelligent surveillance systems.
