METARPAS
An industrial inspection drone flying over a solar power plant with mountains in the distance

From autonomous inspection to defect reports

Drones inspect.AI identifies defects.

S-Cube platform

Every METARPAS solution runs on S-Cube, our in-house platform. We compose proven technology modules into services that fit each site — maximizing performance and safety.

A

Proven technology modules

AI analytics, GIS mapping, security, media streaming, and drone control — systems built from modules proven in commercial service.

B

An extensible architecture

Plug in the latest technology as needed: deep learning, radar/LiDAR, wireless power transfer (WPT), and more.

C

Reliable connectivity

We combine whatever networks the field offers — 4G, 5G, WiFi — to keep drones and control connected in any environment.

Four fields of operation

Commercial service areas proven in the field with KT, Jeonnam Technopark, Wonju City, and more.

Solar plant inspection

Simultaneous thermal and RGB imaging detects hot spots and cell/diode failures, producing reports with defect counts and estimated generation loss.

Public facility inspection

5G live video and precise beyond-visual-range control enable unmanned inspection of hard-to-access sites like stadiums and bridges, tracking cumulative crack growth.

Wildfire watch

Drones take off automatically from stations for patrol flights while AI recognizes suspected wildfire smoke in the footage and raises immediate alerts.

Power · wind infrastructure

Transmission line inspection, wind turbine management, crop condition analysis — S-Cube modules combine to expand into new inspection domains.

Request a live demo

10MW plant inspection

0.5day

Compared with about 20 days manually

Inspection & analysis time saved

50%

Real-time analysis

Automatic battery swap

90sec

Automatic swap

Simultaneous video feeds

9CH

Live video feeds

Blog

Notes on METARPAS technology, field work, and news.

Partnerships and project history

KT — unmanned facility monitoring pilot
Jeonnam Technopark — drone control system
Wonju City — AI wildfire watch
Daegu Metropolitan City — World Cup Stadium inspection
Daejeon Metropolitan City — Daedeok Bridge crack analysis
Solar Asia 2025 — exhibition participation

Frequently asked questions

Don't see your question? Send us an inquiry — we answer based on your site conditions.

metarpas.com
How does a solar plant inspection proceed?

Four steps: plant modeling → autonomous flight & data capture → AI defect analysis → GIS report. For a large 10MW plant, on-site inspection takes just 0.5 days — about 20 days faster than manual inspection.

How is this different from ordinary drone thermal inspection?

Typical drone work stops at humans manually reviewing video. SOLVIT's AI automatically classifies defect types and locations, and maps IR/RGB imagery onto the plant map so you can grasp the plant's condition at a glance.

What kinds of defects can it find?

It classifies and locates hot spots, cell/multi-cell failures, diode faults, shading, and surface soiling by type. Reports include defective module counts, type ratios, and estimated hourly generation loss.

Does it work on rooftop or floating plants?

With RTK GPS precision positioning and target modeling, flight plans adapt to rooftop, floating, and other environments beyond ground-mounted plants. S-Cube modules also cover non-solar domains like facilities and wildfire watch.

Can periodic inspections run unmanned?

Paired with a drone station, automatic takeoff/landing and sub-90-second battery swaps enable continuous unmanned operation. Both fixed and vehicle-mounted stations are supported to fit site conditions.

Plant inspection, now with drones and AI

Plant inspection,
now with drones and AI

Tell us your plant size and site conditions — we'll send a proposal with an inspection plan and quote.