traffix.ai
Leveraging Deep Learning (AI) and 3D Object Tracking, traffix.ai is the Sprinx solution dedicated to critical infrastructures such as roads, highways, tunnels, bridges, and viaducts, capable of analyzing video streams in real-time to classify vehicles and quickly identify anomalous situations in traffic. It combines extremely high detection capability with a drastic reduction in false alarms.
The solution also collects and analyzes statistical data on vehicle flow, providing operators and other stakeholders with insights into traffic distribution and composition.
The high-performance neural network enriches detected event information with significant data, including vehicle class and colour, enabling more informed data-driven decisions.
The traffix.ai software platform is available for both server-side, at-the-edge, and onboard standard CCTV cameras. Sprinx, as an Independent Software Vendor (ISV), is focused on developing cross-platform and agnostic software installed on market hardware belonging to different brands.
In the case of server-side solutions, the Sprinx solution is entirely agnostic to the camera brand, requiring a standard Onvif-RTSP stream for analysis. The traffix.ai can be installed on a standard PC platform, using just the CPUs, thanks to the AI inference engine based on the Intel® OpenVINO™ toolkit, or Nvidia GPUs, according to the system requirements. Sprinx traffix.ai can also be embedded on Nvidia Jetson compact computers for edge computing applications.
Activating professional AID algorithms directly onboard standard CCTV cameras represents an interesting and cost-effective solution in distributed architectures. Sprinx, aware of the strategic importance of enriching the number of brands and camera models compatible with its onboard traffix.ai application, has long since undertaken a verification activity to select and certify the devices that guarantee performance levels according to Sprinx standards. As a result, the list of compatible CCTV camera brands and models is constantly updated; for this reason, it is suggested to request the latest updated list in force.
R-Evolution
Traffix.ai Key Features
Field Proven AI
On board Camera
High Performance
Hardware Agnostic
CPU only or GPU
Flexibility
Easy to Integrate
Fast Calibration
Application Fields
Traffix.ai may collect traffic data for statistical purposes, using the cameras for predictive and mobility analysis purposes. In detail:
- Vehicle Counting
- Vehicle Classification (cycle, motorcycle, car, van, truck and bus)
- Average Speed
- Traffic Density