Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Abstract
The Project Presents An Innovative Solution For Runway Inspection Utilizing An AI-Robo T Ttttt Equipped With An Optical Camera. The Challenges Faced By Current Methods Of Foreign Object Debris (FOD) Detection On Airport Runways, Such As Radar And Stationary Cameras, Due To High False Positive Rates. The System Employs An ESP32 Microcontroller To Provide Real-time Notifications To The Ground Station In The Event Of Detecting Foreign Objects On The Runway. The Integration Of Robot Technology Aims To Enhance Runway Safety And Improve Efficiency In Airport Operations. Testing Different Machines To Make Sure They Work Well In All Kinds Of Weather. The Paper Introduces A Novel Approach Using Unmanned Aerial Vehicles (UAVs) Equipped With RGB Cameras And AI Detectors Trained Using Deep Learning Methods To Detect FOD On Runways. Remove The Unwanted Debris On Runway Using AI Robot And Automatically Identify The Object.
Keywords
Paper ID
IJSARTV11I4103273
Publication Date
April 22, 2025
Research Area
Information Technology