AI-Powered UAV-Patrolling Drone For Real-Time Unauthorized Person Detection
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.
Authors
- Khalil Ur Rahman (ORCID: https://orcid.org/0000-0001-8927-3467)
- Muhammad Saad Bin Ehtisham
- Muzammil Ahmad Khan (ORCID: https://orcid.org/0000-0002-8686-2968)
- Khurram Iqbal
- Perfshan Erum
- Adnan Chohan
Institutions
- Sindh Madressatul Islam University (PK)
- NED University of Engineering and Technology (PK)
- National University of Modern Languages (PK)
- Hamdard University (PK)
- Sir Syed University of Engineering and Technology (PK)
Publication Details
- Journal
- Pakistan Journal of Engineering Technology & Science
- Published
- 2025-07-25
- DOI
- https://doi.org/10.22555/pjets.v13i1.1349
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00