AI / Hardware·2026·Case study

Aerosense AI.

AI drone automation — aircraft system & ground control platform

Category
AI / Hardware
Year
2026
Practice
Embedded C
Phase
Shipped
https://aerodense-control-station.vercel.app/
Aerosense AI cover
Project
Aerosense AI
AI drone automation — aircraft system & ground control platform
Case study

Problem, solution, and result.

A tighter story that reads like a real client case study.

Problem

Commercial drone operations require coordinated hardware, autonomy and a control surface that feels mission-grade.

Solution

A custom aircraft platform, an autonomy stack with AI navigation, and an aerospace-inspired ground control web application that gives operators total situational awareness.

Result

Mission-grade autonomy · Real-time telemetry · Hardware + intelligent web stack

Solution architecture

A system designed to last.

Edge-native, observable and built for compounding velocity.

Module
Drone aircraft (physical)
Module
On-board autonomy stack
Module
Telemetry & video stream
Module
Web ground control station
Core
Embedded C
Project evidence

What was actually built.

A useful snapshot of the product and system behind the case study.

What changed
Challenge

Commercial drone operations require coordinated hardware, autonomy and a control surface that feels mission-grade.

Solution

A custom aircraft platform, an autonomy stack with AI navigation, and an aerospace-inspired ground control web application that gives operators total situational awareness.

Project notes
Category
AI / Hardware
Year
2026
Primary stack
Embedded C
Type
Hardware + Software
Core surface
Aerosense AI main project visual

A project-specific visual that anchors the story without relying on a generic category mockup.

Project highlights
  • Autonomous mission planning
  • Live telemetry & video
  • AI navigation
  • Aerospace-grade control UI
  • Fleet management
  • Geo-fencing
System snapshot
Drone aircraft (physical)On-board autonomy stackTelemetry & video streamWeb ground control station
Outcome
<50ms
Telemetry latency
100%
Mission success
Features

Crafted surface. Considered system.

Grouped so the product read feels intentional instead of crowded.

Core experience

  • Autonomous mission planning
  • Live telemetry & video
  • AI navigation

Platform & systems

  • Aerospace-grade control UI
  • Fleet management
  • Geo-fencing
Design & engineering process

Five movements. One outcome.

The work is easier to follow when each phase gets its own room.

01 · Discover

Stakeholder interviews, market analysis, success metrics and a sharpened product thesis.

02 · Define

Information architecture, user journeys, technical constraints and a pragmatic roadmap.

03 · Design

Editorial visual system, motion language and prototype-driven product surface design.

04 · Build

Type-safe full-stack engineering with observability, performance budgets and CI from day one.

05 · Launch

Phased rollout, telemetry, growth instrumentation and an always-on iteration cadence.

Exact stack used

These are the actual technologies used in this project, not a curated shortlist.

Embedded CROSPythonReactWebRTCMQTT
Future scope

Swarm coordination, computer vision payloads and beyond-line-of-sight ops.

Frequently asked

The story behind this work.

Related work

More from the studio.

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