SmartDrones

Name: SmartDrones
Address: Lublin, PL
Telephone: +48785085505

SmartDrones builds AIS (Automatic Inspection System) for automated drone inspections. One-click runs + AI PDF reports. DaaS + SaaS.

aisCloud is our web platform to register, rent drones/pilots, and manage inspections.

05/03/2026

📍 Jesteśmy na Drone World Expo!
Zapraszamy na stoisko D2.14 (Ptak Warsaw Expo) - pokażemy autonomiczne inspekcje i automatyczne raporty (AI)

28/02/2026

📍 Stoisko D2.14
📅 3–5 marca 2026
🏢 Ptak Warsaw Expo

Do zobaczenia na Drone World Expo! 🚁

09/02/2026

A demo flight in autonomous inspections tells you very little.
It mostly answers: did it fly?

In production the real question is:
👉 does the whole system work — end-to-end?

That’s why at SmartDrones we test AIS as one integrated stack:
🧪 Gazebo (simulation)
🧠 SITL (embedded + autopilot firmware)
⚙️ edge devices (onboard + field)
☁️ cloud backend + workflows
🧩 web + desktop apps (plan / ops / analysis)

An E2E test isn’t “did it fly?”.
It’s: ✅ did the pipeline work, ✅ was behavior predictable, ✅ did a change break anything else?

Production autonomy = repeatability + system control, not a one-off flight.

08/02/2026

Most problems in autonomous systems don’t come from algorithms.
They come from integration: different teams, different formats, different “truths”.

Result?
👉 chaos
👉 regressions
👉 tests you can’t trust

That’s why AIS is built contract-first:
🧩 one source of truth (SSoT) for data types
🧩 the same contracts across API → SDK → apps → onboard
🧩 protocol mapping only at the system edge

Not flashy — but it’s the difference between a demo and a system you can scale and maintain.

04/02/2026

A single successful autonomous inspection flight doesn’t prove the system works.
It could be luck. Perfect conditions. A one-off.

At SmartDrones we don’t ask “did it fly?”
We ask: can it be repeated, measured, and reproduced?

For us, field-ready means:
🔁 the same mission works across many runs
📊 behavior is measurable and comparable
🧪 every firmware change shows up in tests
⚠️ degradations and failsafes are predictable, not random

Production autonomy isn’t a demo — it’s repeatability and change control.

What’s your criterion for “field-ready”? 👇

22/01/2026

Failsafes are part of the mission
Autonomy is not only about normal operation.

During an inspection mission, the system must react when something goes wrong:
⚠️ GNSS degradation
📡 communication loss
🌬️ wind limits exceeded

Instead of failing suddenly, autonomy moves through defined states:
✅ normal operation
🛡️ degraded mode (slower, safer)
🏠 safe action (hold position, return home, controlled landing)

Failsafes are not an emergency feature.
They are designed into the mission logic from the start.

20/01/2026

#️⃣ AIS Engineering Log #6
Autonomy is about decisions, not flying

Autonomy is not just flying a path.

During an inspection, the system must constantly decide:
🔹 can I trust my sensors?
🔹 are conditions still safe?
🔹 should I continue, adapt, or stop?

That’s why we design autonomy as a decision-making system, not only an autopilot.

Real autonomy means safe and predictable behavior —
especially when something goes wrong.

17/01/2026

🌍 Field tests often reveal things we don’t see in simulation.

🛰️ When flying close to large structures, GPS signals can become unstable.
This is common during infrastructure inspections.

🔦 To improve localization, we also use LiDAR.
It provides a strong local reference to the environment.

🔁 During field tests, we saw where GPS performance dropped.
We then took this scenario back to simulation and hardware testing,
and used it to further tune our positioning and safety logic.

✅ This is how real-world testing helps us build more reliable autonomous systems.

16/01/2026

Field tests are not production flights.

After simulation and hardware testing, many teams think the system is ready.
We treat field tests as another testing stage, not a demo.

Only in the field does the system see real sensors, wind and real disturbances.
This is where we check how autonomy behaves close to real infrastructure.

Field tests help us validate safety and predictable behavior,
before moving to real production flights.

15/01/2026

Simulation alone is not enough.

With Hardware-In-The-Loop (HIL) testing, we connect real hardware (electronics, sensors, controllers) to a simulated world.

The software thinks it is flying a real drone, but everything happens safely on the desk.

This lets us check:
🔸timing and delays,
🔸communication between components,
🔸safety logic and failure cases.

HIL helps us find problems before real flights and reduces risk during field tests.

Test on the desk. Fly with confidence.

14/01/2026

Autonomous drones must be tested before they fly.

We use Software-In-The-Loop (SITL) testing to check autonomy logic in simulation.
In SITL, the drone software runs in a virtual environment instead of a real drone.

This allows us to repeat the same test many times and see how the system behaves.
It helps us find problems early, before real flights.

Testing first. Flying later.

13/01/2026

We are building a full-stack automated inspection system (AIS).

This means we don’t focus only on the drone itself.
We build the whole system around it.

Autonomous flight, testing, cloud software and inspection reports all work together as one solution.

On this page, we will share how we build this system — step by step. From simulation, through testing, to real-world deployments.

Adres

Lublin

Telefon

+48785085505

Strona Internetowa

https://smartdrones.ai/

Ostrzeżenia

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