Product presentation
Traffic Statistics Edge AI – AI-powered real-time multimodal traffic analysis
Traffic Statistics Edge AI provides local authorities and transport operators with reliable, detailed multimodal traffic data from a single smart camera sensor.
Designed for roads, active travel routes and intersections, the solution uses embedded Edge AI video analytics to transform video streams into actionable mobility data in real time.
An innovative traffic counter for multimodal data collection

Traffic Statistics Edge AI has been designed to provide accurate data on different types of road users, including vehicles, pedestrians, cyclists and scooter users.
The camera is equipped with Deep Learning-based artificial intelligence software that analyses traffic directly within the camera. This edge processing approach means there is no video transfer, recording or storage, helping ensure privacy-friendly and GDPR-compliant operation.
The generated data is available immediately and can be integrated into transport management systems to support mobility planning, infrastructure investment decisions and road network optimisation.
Focus on vulnerable road users
Traffic Statistics Edge AI provides detailed data on vulnerable road users, including pedestrians, cyclists and scooter users, while also tracking motor vehicles.
It is particularly suited to urban environments where a diverse mix of road users share the same space.

Advanced traffic data
This non-intrusive sensor measures and analyses key traffic indicators in real time, including:
- Traffic volume
- Multimodal classification
- Vehicle speed
- Occupancy rate
- Headway
A single Traffic Statistics Edge AI camera can detect, track and analyse hundreds of road users simultaneously, making it suitable for busy roads, junctions and active travel schemes.
Classification
The system can classify the following road users:
- Car
- Van
- HGV
- Bus
- Motorbike
- Cycle
- Pedestrian
- Scooter
Detection zones
Traffic Statistics Edge AI supports directional detection zones for different monitoring requirements.
Traffic Zone
Detects stationary and moving vehicles, including cars, vans, HGVs, buses and motorcycles, as well as cycles and scooters. It provides accurate traffic counts and detailed statistics on traffic flows and vehicle types.
VRU Zone
Detects stationary and moving vulnerable road users, including cycles, scooters and pedestrians. It provides accurate counts and detailed classification by user type.
Simple to install and ready to use
Traffic Statistics Edge AI is designed for rapid deployment on existing infrastructure.
The camera can connect directly to an existing wired IP network, providing both power and data through a single PoE connection. Where no wired IP connection is available, the system can be supplied with a cabinet equipped with mains power and a 4G modem, enabling autonomous installation at almost any site.
Traffic data can be downloaded in CSV format or transmitted in real time via wired network or 4G using the TMU protocol or EasyData middleware. An integrated web interface provides direct access to configuration and management functions through a standard web browser.
Low total cost of ownership
Traffic Statistics Edge AI is supplied with its embedded artificial intelligence analytics application. It is a one-time investment with no software licence renewal or recurring software fees required.
Once installed, the system operates autonomously, providing long-term access to AI-based analytics without additional software operating costs.
