Vehicle monitoring
Real-time traffic intelligence powered by multi-sensor technology
What is vehicle monitoring and how does it work?
- Understanding traffic dynamics is essential to improve road safety, reduce congestion, and optimize infrastructure planning. Tattile’s vehicle monitoring application delivers accurate, real-time traffic data by combining ANPR cameras, laser technology, and advanced sensors into a single, reliable solution
- Designed for urban roads, highways, and critical transport corridors, the application provides authorities and operators with actionable insights to make data-driven decisions.
- The vehicle monitoring application collects and processes traffic data using a multi-sensor approach. High-resolution cameras, laser scanners, and complementary sensors work together to detect, classify, and track vehicles with maximum accuracy in all traffic and environmental conditions.
- Data is processed in real time and made available through intuitive dashboards or seamlessly integrated into existing traffic management systems.
Designed for smart mobility ecosystems
In the traffic monitoring application, cameras and sensors detect, collect,
and analyze data from all vehicles and traffic on both roads and highways.
Continuous traffic monitoring therefore allows for the identification and
tracking of any suspicious vehicles and/or the identification of safety-critical or illegal situations.
Tattile’s ANPR cameras provide excellent vehicle and plate
recognition, while its advanced LiDAR technology ensures
accurate vehicle classification. These innovations help city
and local authorities monitor and identify vehicles more
effectively, improving law enforcement and security efforts.
Tattile's core features
- Non-invasive solution: transit detection and vehicle classification without road work
- Embedded OCR: onboard processing eliminates the need for external devices
- Embedded BCCM: vehicle classification through internal image analysis
- Control list: management directly onboard
- Event filtering: customizable conditions for filtering
