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Digital Grid

From inspection
to power line management

What we offer is not drones or AI on their own, but a single intelligent platform for managing power transmission lines.

Autonomous
inspections
AI defect
recognition
Digital twin
of the grid
Maintenance
automation (O&M)

Where power line inspection stands today

A power line corridor in the mountains
Manual patrols and heavy dependence on staff
A lineworker on a transmission tower
Risk to personnel
An insulator string on a tower
Defects are found slowly
Paper drawings and logbooks
Data goes missing and there is no single system

An intelligent platform
for power lines

Drones
inspection
›
AI and data platform
analysis and storage
›
O&M
work management
Everything inside one digital loop

Fully autonomous inspection

Automatic drone launch and landing
Obstacle avoidance (trees, buildings, conductors)
Automated drone dock
Flight without an operator
Automatic return to base
No people involved. Consistent data quality.

Smart line inspection:
AI + computer vision

AI object recognition on the video feed
Recognition of towers,
conductors and insulators
Auto-zoom and focus
on the asset
Detection of
defects and risks
Real-time
analysis
Up to 80% of grid components are classified automatically

A range of intelligent cameras
for power line monitoring

A fixed camera in a protective housing

Fixed camera

Baseline continuous monitoring of a chosen stretch of the grid.

Multi-lens camera

Multi-lens camera

360° panoramic coverage — no blind spots at all.

PTZ camera

PTZ camera

Controlled pan and powerful zoom for detailed coverage of wide areas.

Thermal imaging

Thermal camera

High-precision detection of overheating and thermal anomalies, preventing failures.

A camera mounted directly on the conductor

Our company's key autonomous solution for hard-to-reach sections.
Live-line installation: mounted without switching the line off.
Fully self-powered: inductive supply straight from the phase conductor.
Total control: continuous real-time monitoring of line condition.
Smart analytics: onboard artificial intelligence and integrated sensors.
Overhead line conductors with line fittings
Modules and smart sensors
that can be integrated:
LiDAR — 3D clearance measurement and scanning of encroaching trees.
Micro weather station — local monitoring of weather conditions.
Ice and vibration sensors — early warning of physical load on the grid.
Edge AI — processing on the device itself for instant alerts.

Platform architecture:
from data capture to repaired defect

01

Data capture

Autonomous drones.

Flights along set routes: photo/video, IR cameras, LiDAR and sensors.

02

Data transfer

Online integration.

Seamless delivery of telemetry and media over 4G/5G into one system.

03

AI analysis

Computer vision.

Automatic defect recognition (corrosion, breaks, overheating) at 90%+ model accuracy.

04

Visualisation

Digital twin.

Accurate 2D/3D models, a digital twin of the grid and analytics on top of it.

05

O&M management

Response.

Alerts, automatic assignment of jobs to crews and control over completion.

A closed management loop: everything in one digital contour

Flying the lines:
intelligent navigation

01

Flight along the line (imitation flight)

02

Automatic heading detection

03

Route building

04

Avoiding crossings and obstacles

The drone works out the structure of the grid by itself
An inspection route along a transmission line

Data and analytics:
data-driven management

Photos tied to coordinates

Online data transfer

Inspection history

Condition tracking for every tower

A point cloud of the line with anomalies marked
A complete digital register of the grid
Digital Grid / Blueprint UI

Work management (O&M):
from defect to job

An insulator inside an AI detection box
Automatic
job creation
›
A work order card
Defect
prioritisation
›
A job and crew route in the mobile app
Crew assignment
and completion control
A closed loop: inspection → analysis → job → repair

Technology: key capabilities

Obstacle detection (trees, buildings)
True distance to the object
An inspection view with distance measurement
Image quality enhancement
AI lighting correction
High accuracy even in difficult conditions

AI diagnostics: the threats it finds
and the problems it solves

Problems solved
Risk to personnel

Work at height, on live lines, in hazardous areas.

Harsh environment

Enormous length, mountains, snow, wind and heat.

Blind spots

No real-time monitoring and no single picture of grid condition.

An insulator with a thermal anomaly and a defect marker
Defects detected
Hardware defects

Corrosion, broken conductors, cracked or shattered insulators, overheated joints.

External threats

Foreign objects on the lines, unpermitted construction inside the right of way.

Vegetation and wildlife

Encroaching vegetation, bird nests, the aftermath of wildfires.

Up to 80% of grid components are classified by the platform fully automatically
Digital Grid / Blueprint UI

Scalability:
from a pilot to the whole grid

New lines are onboarded quickly
Centralised control
Thousands of kilometres of line supported
Already running on hundreds of sites
A map of grid assets in one platform

Business impact: a transformed
operating model

Traditional approachThe platform
High operating costs↓ O&M costs by up to 60%
Weeks of manual patrols↑ Inspection speed ×10
Depends on the human factor↑ AI accuracy up to 95%
High risk to personnelZero risk to people

Reliability

Up to 40% fewer failures. Defects are caught early and incidents prevented.

Lower costs

No more expensive manual inspections and helicopters. Leaner crews.

Higher throughput

100–500 km of line a day. Routine checks fully automated.

Transparency and control

One monitoring platform. Online access to defect history and the digital twin.

Digital Grid

A digital twin of the grid
+ AI + drones
= a new model
of management

  • Fewer people
  • More data
  • Faster decisions
  • Higher safety
Power line inspection from the air