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2D Mapping Drone – Survey Mapping

Industrial Drones

Industrial BI Drone

Product Overview

The 2D Mapping Drone (GA-IN-2D) from Garuda Aerospace is a precision aerial mapping platform designed to support industrial and enterprise survey applications. Integrated with RTK/PPK positioning, high-resolution sensors, and autonomous mission planning, the platform is designed to generate orthomosaic maps and terrain models. The system is designed to support reduction in survey timelines compared to conventional ground survey methods, reduce the need for personnel in hazardous survey areas, and enable efficient coverage for construction, mining, smart city, and infrastructure inspection projects.

Technical Data

Model Name

GA-IN-2D

Rated Payload (g)

200 grms

Gross Weight (kg)

4 kg

Rated Climb Rate

4 m/s

Rated Speed

10 m/s

Tested Endurance

40 mins

Rated Range

5 km

Operating Altitude

120 m

Dimensions

510*490*210 mm

System Features

Supports autonomous flight mission planning capabilities.

Equipped with aerial image capture at high resolution.

Designed to enable large-area mapping within a single mission cycle.

Incorporates obstacle sensing technology intended to enhance operational safety.

Offers flight control with waypoint-based navigation functionality.

Facilitates data acquisition for orthomosaic generation.

Supports survey-grade mapping accuracy utilising RTK / PPK technology.

Portable form factor designed for field deployment

Payload & Sensor System

RGB Camera

Equipped with an RGB camera capable of capturing aerial imagery for orthomosaic mapping applications.

PPK Navigation System

Integrated with a PPK navigation system intended to achieve centimetre-level geospatial accuracy.

Obstacle Sensors

Incorporates obstacle detection and avoidance sensors designed to support flight safety during operations.

Applications

Infrastructure and Construction

Mining and Quarry

Agriculture and Land Management

Urban Planning and Utilities

Garuda's Advantage

Accelerated geospatial data collection over conventional methods

Accuracy compliant with prescribed survey standards

UAV-based data acquisition across project scales

Optimised field deployment with lower personnel risk