adis – Smart Drone Inspection for Warehouses & High-Bay Storage
ADIS: Real-Time Insights from Every Corner – Always Current, Always Safe
Discover ADIS – the autonomous drone inspection system for warehouses and high-bay storage facilities. It enables semi-autonomous navigation, live video feed into VMS systems, and full compliance with EU regulations (DGUV-compliant).
Download ADIS GCS For Free
Inspection with a Drone (ADIS GCS simulation)
Simulation view of an indoor drone flight in the ADIS Ground Control Station. Since indoor spaces such as warehouses do not belong to public airspace, they are particularly well suited for computer-controlled flights.
Inspection with a Rover (ground-based, ADIS GCS simulation))
ADIS also controls rovers. These serve as an alternative for outdoor use, particularly where BVLOS drone flights (beyond visual line of sight) cannot be approved.
Seamless Integration into Existing Systems
Precise Indoor Navigation without GPS
Suitable Application Areas in High-Bay Warehouses and Logistics Centers
Drone Inspection – Live and Seamlessly Integrated
Seamless Integration into Existing Systems
ADIS integrates seamlessly into existing video management systems (VMS) and warehouse management systems (WMS). RGB and thermal video streams are transmitted via RTSP and automatically detected via ONVIF. Sensor data (e.g. gas, smoke, or temperature values) flows in via MQTT and OPC UA – ideal for alarm triggers, pop-ups, and real-time notifications. The drone is fully IP-based and compatible with common platforms such as Milestone, Genetec, or Dallmeier – without any additional proprietary solutions.
Precise Navigation without GPS
Precise Indoor Navigation without GPS
ADIS achieves reproducible flight routes with a deviation of < 30 cm – even in narrow aisles of high-bay warehouses. This is made possible through a combination of Optical Flow sensors (360°), distance sensors, AprilTags (fiducial markers), and edge computing. Waypoints are planned in a user-defined 3D grid and executed via ArduPilot/Pixhawk 6X. Features such as Precision Loiter ensure stable positioning and repeatable inspections.
Similar approaches using fiducial markers and optical flow are employed in research for precise warehouse positioning and achieve high accuracy in GPS-denied environments (Ekici et al., 2023; Lin et al., 2024). Manual takeover is possible at any time to ensure maximum flexibility.
Specialized Monitoring – Temperature, Gas, Smoke and Structure in High-Bay Warehouses
Suitable Application Areas
ADIS is ideally suited for daily routine inspections in high-bay warehouses, logistics centers, and automated intralogistics facilities. Typical applications include:
- Temperature, gas, smoke, and structural monitoring
- Fire safety checks (e.g. O₂ levels)
- Rack and inventory control
- Security rounds in narrow, GPS-free areas
Autonomous indoor drone systems like ADIS contribute to increased efficiency by enabling regular monitoring without personnel requirements – a trend confirmed in current studies on warehouse UAV integration (Malang et al., 2026; Wawrla et al., 2019). The system is EU/DGUV-compliant and immediately ready for deployment in modern logistics environments.
Excellent for Daily Routine Inspections
Scientific Foundation and Comparison
The navigation technologies of ADIS are based on established methods of indoor robotics:
- Optical Flow and Sensor Fusion for low-drift velocity and position estimation (cf. Samavedula et al., 2025)
- Fiducial Markers (AprilTags/ArUco) for global correction and precise localisation (Ekici et al., 2023; Lin et al., 2024)
- Autonomous path planning in confined spaces with edge computing (cf. sensor fusion approaches in James et al., 2024)
Further reading:
- Ekici, M. et al. (2023). Warehouse Drone: Indoor Positioning and Product Counter with Virtual Fiducial Markers. Drones, 7(1), 3. https://doi.org/10.3390/drones7010003
- Lin, H.Y. et al. (2024). Development of Unmanned Aerial Vehicle Navigation and Warehouse Inventory System Based on Reinforcement Learning. Drones. https://www.mdpi.com/2504-446X/8/6/220
- Malang, C. et al. (2026). Analyzing Key Factors for Warehouse UAV Integration Through Complex Network Modeling. Logistics, 10(2), 28. https://doi.org/10.3390/logistics10020028
- Wawrla, L. et al. (2019). Applications of drones in warehouse operations. ETH Zürich Whitepaper. https://ethz.ch/content/dam/ethz/special-interest/mtec/pom-dam/documents/Drones%20in%20warehouse%20opeations_POM%20whitepaper%202019_Final.pdf
ADIS Compared to Market Leaders
The table is based on publicly available specifications (as of 2026), manufacturer data, and industry comparisons.
| Criterion | ADIS (Koller Lech-Tec) | Flyability Elios 3 | Corvus Robotics Corvus One |
|---|---|---|---|
| Primary Focus | Smart inspection (temperature, gas, smoke, structure) in warehouses/high-bay storage | Collision-resistant close-up inspection & 3D mapping in confined/hazardous spaces | Fully autonomous inventory scanning & barcode reading in large warehouses |
| Autonomy Level | Semi-autonomous (waypoint grid, precision loiter, manual takeover possible) | Highly autonomous with assistance (Smart Return-to-Home, Dynamic Rerouting, Repeat Flights) | Fully autonomous (Level 5: weeks unattended, no pilot, no WiFi) |
| Navigation Method | Optical Flow (360°), AprilTags/Fiducials, distance sensors, ArduPilot/Pixhawk | LiDAR-based SLAM + VIO (Visual-Inertial Odometry), FlyAware™ Engine | Camera-based Visual-Inertial SLAM + Neural Networks (14 cameras, 360° obstacle avoidance) |
| Positioning Accuracy | < 30 cm deviation (reproducible) | Centimetre accuracy (LiDAR SLAM, real-time 3D map) | High (optimised for barcode scanning & location tracking, no precise cm figure published) |
| GPS-Denied Capability | Yes (fully indoor, without GPS) | Yes (specialised for it, robust in confined spaces) | Yes (no GPS, no WiFi, no beacon required) |
| Protection / Collision Resistance | Not collision-resistant (standard quadcopter design) | Yes (fully enclosed protective cage, survives collisions) | Yes (obstacle detection & avoidance, flies safely in active aisles) |
| Sensors / Payload | RGB + thermal camera, gas/smoke/temperature sensors, RTSP/MQTT/OPC UA | 4K camera + thermal, LiDAR payload, dedicated inspection tools | 14 cameras for 360° scan, barcode-reader focused (no thermal/gas) |
| Integration | Strong (VMS such as Milestone/Genetec, WMS, MQTT/OPC UA, RTSP) | Good (data export for 3D models, reporting tools) | Strong (direct integration into warehouse management systems, real-time data feed) |
| Flight Time per Mission | Not explicitly stated (typically 10–20 min for Pixhawk-based systems) | 9–12.5 min (with/without LiDAR) | 20 min per scan (incl. recharge, 200–400 pallets per flight) |
| Use Case Strengths | Daily routine inspection with multi-sensor alarms in high-bay warehouses | Confined spaces (tanks, silos, shafts), 3D volume measurement | Large-scale, continuous inventory cycles in active warehouses (no staff required) |
ADIS is positioned as a cost-effective, integration-strong alternative for logistics/warehouses with a focus on sensor alarms (gas/smoke/temperature) – ideal for fire safety & security. Elios 3 is the benchmark for extreme robustness (collision-proof, confined spaces), but more expensive and primarily designed for hazardous inspections (not primarily inventory). Corvus One dominates in fully automated, scalable inventory (no human required, very high throughput), but offers less sensor variety for inspection purposes.
Last updated: March 2026