Airos Mission Control

AI Operating System for Drones

Develop software compatible with any drone; easily add intelligence for automation

Onboard Intelligence

Various modules, like, collision avoidance, precision landing, and object tracking, can be easily configured based on the requirements.

Payload Integration

Configure, trigger and interface a wide range of payloads, such as, camera, thermal sensor, LiDAR, and multispectral camera, with your drones.

Drone Adaptors

AIROS is compatible with all major drone/autopilot platforms. The drone adaptors make software applications agnostic to drone hardware.

Cloud Connectivity

AIROS is fully compatible with AIROS Cloud over 3G, 4G/LTE, to provide you seamless, secure, reliable, and real-time access to your drone fleet.

AIROS Architecture

AIROS provides APIs and SDKs for building high-level drone applications, such as, aerial delivery, precision agriculture, surveys, industrial inspections and emergency response. AIROS is compatible with all major drone/autopilot platforms and is supported on all popular companion computers, including those from Nvidia, Intel, Raspberry Pi and Qualcomm.

AIROS is built on ROS (Robot Operating System) and Linux, making it an ideal platform for robust and scalable drone applications. It interacts with the drone/autopilot (flight stack) through drone-adaptors, and exposes high-level APIs in ROS, C++, Python, REST and Websocket. Integrations with a range of payloads, like, LiDARs, high-res cameras, thermal cameras, and multispectral cameras, help cut down the development time. Various intelligence modules are available to provide the capabilities, such as, collision avoidance, precision landing, object tracking, etc.

The APIs allow for easy development of onboard business logic as well as remote monitoring and control through the web and mobile apps. Seamless connectivity with AIR-OS Cloud provides a secure, reliable and scalable framework for building 4G/LTE connected fleet of drones.

AIROS provides several other features, including, web/mobile SDKs and 3D software simulator, to help build complex drone applications, better and faster!


Drone Agnostic

Compatible with all major drones/autopilots

ROS Based

Scalable and extensible through plugins

Supports All CC

Supports all major companion computers

Onboard APIs

Rich APIs in Python, ROS, C++, RESTful, Websocket

Deep Learning

Modules for AI/ML based object detection, tracking, etc

Web/Mobile APIs/SDK

SDKs and templates to build custom applications

Security and Authentication

Designed for security and reliability at scale

Sync/Async commands

Powerful APIs to handle complex scenarios

Built-in Web Server

GCS is served right off the flight computer

Built-in Apps

Preloaded with sample apps with source code

SITL App Simulator

Simulator to test your applications without stepping out

Remotely Trigger Apps

Configure, trigger and talk to wide range of payloads

Addon Plugins

Precision Landing

Use visual markers for precise landing (or hover) on docking stations, charging pods, or for deliveries at designated sites.

Indoor Navigation

Complete solution for vision-based fully-automated indoor navigation in warehouses and other environments.

Video Streaming

Auto-selection of bit rate, resolution, and auto-config of transcoding parameters, for optimal performance over lossy networks.

Collision Avoidance

Integration with various sensors for obstacle detection, along with algorithms for rerouting to avoid collisions.


Manage and configure swarms for large-scale deployments – automatic task-allocation, flight planning and data collection.

Object Feature Recognition

CV and AI/ML plugin for automated object detection, classification and/or counting is extremely valuable for various applications.

Object Track & Follow

Vision-based automated object tracking and following (with/without gimbal) can be configured on any custom drone.

Face & Gesture Recognition

Ready modules for face and gesture recognition help in integration of various smart features, based on the requirements.

LIDAR Integration

Tight integration’s with popular LiDAR modules, for remote configuration, data access and processing, are readily available.

Camera & Gimbal Integration

APIs for direct configuration, control and data-access, from various popular camera and gimbal modules, are available.

DJI Guidance Integration

Detect obstacles on any custom drone with DJI guidance, using rich APIs for configuration, control and communication.

FLIR/Thermal Camera Integration

Integrate FLIR/Thermal camera with your drones and applications, using ready APIs for configuration, control and communication.

Deployment Models

Onboard Drone

Use any of the supported SBCs from Nvidia, Intel, Raspberry Pi, Qualcomm, etc., with a wired connection with the autopilot/drone, to deploy AiROS Edge directly on the drone. [Most common and recommended]

On Ground

AIROS can be deployed on a dedicated SOC, which communicates with the autopilot/drone using a wireless-link. Payload integration with AiROS GCS is, of course, not available in this mode. Ideal for smaller drones.

On Local Machine

AIROS can also be deployed on a regular laptop/desktop (also serving as a GCS), which communicates with the drone using a wireless-link. This is similar to the on-ground option, but does not need a dedicated SOC for AIROS.

Supported Platforms and Hardware


Get in Touch

General Inquiries


+91 9150274881


No.F3, Kalpathuru Apartments, 2nd St, Gajalakshmi Colony, Chromepet, Chennai, Tamil Nadu 600044.

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