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NETRA GARUDAKSH
Runway Foreign Object Detector

NETRA Garudaksh is a FOD  (Foreign Objects on Runways) System. Leveraging its expertise in teleoperated robotics,  NETRA presents an autonomous FOD  detection system that integrates AI,  multi-modal collection, and real-time monitoring.

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AUTONOMOUS OPERATION

Capable of independent runway scanning and debris  detection without human intervention

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REAL-TIME ALERT SYSTEM

Immediately notifies airport personnel of detected  debris through siren and cloud-based alerts

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GPS-GUIDED RUNWAY-SIDE  SCANNING

Utilizes high-precision GPS to navigate and  systematically scan the runway area

AUTOMATIC DEBRIS CLASSIFICATION

Advanced object detection algorithms can identify and  classify different types of debris

GARUDAKSH UPARI
MOUNTED ON FOLLOW-ME VEHICLE

Follow on Vehicles owned by the Airport Operations team, plies the runway throughout the day. GARUDAKSH UPARI mounted on the “Follow on Vehicles” thus would keep tracking for FODs whenever these vehicles are on the runway, thus helping in constant monitoring of the runway

GARUDAKSH STHIR

STATIC ALONG THE RUNWAY

GARUDAKSH STHIR would be installed with a maximum height of no more than 1 feet above the ground, at a distance of 200 metres between each other along the length of one side of the runway, providing real-time detection of FODs

GARUDAKSH CHALAN

AUTONOMOUS ROVER

GARUDAKSH CHALAN is a solar powered autonomous rover/vehicle which circles the runway continuously at a distance of 75 metre from the centre of the runway and providing real-time detection of FODs

Will be available ~ Q3 2025

DATA MANAGEMENT SYSTEM

Cost-effective and autonomous Foreign Object Detection solution for runway safety

​Real-time data from the GARUDAKSH models above is sent to a Central Control System. Automatic Alerts are also sent to the operations team for any actionables to take to remove the identified Foreign Object

Real-Time Debris Detection logging

The system continuously logs all detected debris items in  real-time, including details such as location, size, and  type of debris

Location Mapping of Detected Items

The detected debris locations are mapped to provide a  visual representation of FOD hotspots and patterns across  the runway and airport premises

Statistical Analysis of FOD Patterns

The system performs advanced analytics on the logged  data to identify trends, seasonal variations, and other  insights that can help optimize FOD management  strategies

Maintenance Scheduling

The data collected is used to generate predictive maintenance schedules for the autonomous vehicles and  other FOD detection equipment, ensuring optimal  performance and uptime

Compliance Reporting

The system generates comprehensive reports to  demonstrate regulatory compliance, including debris  detection rates, response times, and preventive actions  taken

NETRA GARUDAKSH

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