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Author(s):

Nilofernisha N | Rithikasri K | Srinikedan M
Keywords:

FOD Detection, AI Robot, CNN, Image Processing, ESP32, PTZ Camera, Real-time Monitoring, Ground Station Alert, Autonomous Inspection.
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.

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