The SEEDiA AI Counter Belgrade pilot introduces a fully solar-powered mobility totem equipped with advanced artificial intelligence for real-time counting and behaviour detection. Implemented in cooperation with the City of Belgrade under the EIT Urban Mobility RAPTOR Programme, the installation tests how AI can support safer and more efficient micromobility flows in public spaces.
Solar-Powered, Fully Off-Grid Mobility Counter
The totem operates 100% off-grid, powered entirely by solar energy.
This enables:
-
continuous operation without external power
-
low-cost deployment
-
zero-emission data collection
-
installation in locations where wiring is not possible
The off-grid design ensures stability even during power outages, making the system ideal for busy mobility corridors.
NVIDIA-Powered Edge AI for Real-Time Detection
The SEEDiA AI Counter Belgrade uses dual cameras with advanced edge computing supported by NVIDIA hardware.
The system recognises:
With on-device processing, the Counter complies with GDPR requirements and does not record identifiable personal data.
Safety Alerts Through Audio Warnings
One of the key functions tested in Belgrade is safety event detection.
The AI Counter automatically triggers audio warnings when:
-
pedestrians enter the bike lane
-
cyclists ride onto the pedestrian walkway
-
conflicting movements occur
These real-time alerts help prevent accidents in high-traffic areas.
Smart City Data Through InCity.io
All anonymised data from the AI Counter is synchronised with the InCity.io Smart City management platform, providing:
-
total number of detected users
-
distribution of cyclists, scooters and pedestrians
-
peak hours and mobility density
-
number of safety-event warnings triggered
-
long-term mobility trends
These insights support evidence-based planning for safer and more efficient urban mobility.
Future Applications Across SEEDiA Infrastructure
The Belgrade pilot serves as a prototype for integrating AI functions into other SEEDiA products, including:
AI-based counting and behaviour analysis will become a key extension of SEEDiA’s Smart City ecosystem.