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Intelligent Smart City platform for monitoring and management

Drones, AI analytics, a digital twin of the city and automated municipal processes

We offer a single solution for running a city: autonomous drones, intelligent data analysis, a 2D/3D digital model of urban infrastructure and monitoring systems in one place.

The platform raises safety, speeds up incident response and moves municipal processes into a digital format.

ONE PLATFORM
FOR THE SMART CITY
Urban infrastructure and monitoring systems
01

The core problems of city management

A modern city has complex infrastructure and a vast number of assets, and all of it needs constant monitoring. Traditional inspection methods deliver neither the speed nor the accuracy required.

Dense urban development from the air
Large area and a high density of assets
Roadworks on a city street
Manual inspection is slow and puts staff at risk
Overflowing bins and litter on the street
Camera blind spots and slow incident response
Paper plans and city maps
Scattered data and no single analytics layer
The result: slow response and high operational risk
02

A single digital Smart City platform

The solution brings monitoring, analysis and city management together in one system.

Autonomous drones
and docking stations
photo, video and LiDAR capture
›
AI recognition
and digital twin
data analysis
›
Management
platform
tasking and control system
Everything inside one digital loop
03

From monitoring
to management

01.

Mission planning

02.

Autonomous drone launch

03.

Data capture

04.

AI analysis

05.

Visualisation in the system

06.

Task creation

07.

Completion control

The system detects incidents on its own and triggers the response workflow
04

The digital base: foundation of the Smart City

The platform builds a digital twin of the city from drone and sensor data.

3D modelling of the urban environment
Digital maps and geodata integration
A register of infrastructure assets and IoT devices
Real-time visualisation
Three-dimensional digital model of an urban area
One digital base for running the city in real time
05

City monitoring
with no people involved

Automatic take-off and landing (drone docks)
Scheduled flights along repeatable routes
Automated drone dock
Centralised control
Automatic return to base
Round-the-clock operation without an operator
06

AI control: detecting violations

The system automatically picks up a broad range of events across the urban environment.

[!]Unpermitted construction
[!]Litter and pollution
[!]Traffic violations
[!]Crowds and incidents
[!]Infrastructure damage
[!]Fires and emergencies
[!]Environmental violations
Automatic detection of violations on a city street
07

Intelligent
decision-making system

The AI platform analyses data in real time and helps manage the city at the macro level.

Object recognition and vehicle tracking
Behaviour analysis and anomaly detection
City control room: dashboards and analytics
Risk forecasting
Automatic report generation
08

Key Smart City use cases

Urban governance
Logistics and delivery
Public safety and policing
Transport and traffic
Environment and ecology monitoring
Infrastructure and construction
Emergencies and response
Scales to the whole city and every service
09

Impact of the rollout: the business result

Traditional methodsThe platform
Manual, slow search for incidents↑Faster detection (AI analytics)
Heavy workload and risk for staff↓Less routine work, better safety
Dependence on the human factor✓Higher monitoring accuracy
High operating costs↓Lower monitoring costs
A move to predictive, data-driven management
10