Video-based Intelligent solution for traffic monitoring
Enhanced Traffic Safety and Smart Mobility: Automatic Incident Detection and Data Collection for Highways, Tunnels, and Bridges.

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.

How it works

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.

Traffix.ai Key Features

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Field Proven AI

Since 2009, Sprinx software has transformed over 40,000 cameras worldwide into intelligent sensors, enhancing monitoring and data analysis processes globally.
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On board Camera

Installable directly on Open Platform video cameras from leading CCTV manufacturers, enabling seamless integration and enhancing functionality with top camera systems available today.

High Performance

No more trade-off between high detection accuracy and low false alarm rates, even in challenging outdoor environments, ensuring reliable performance in all conditions.
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Hardware Agnostic

Compatible with any IP camera or video encoder that supports RTSP video streaming protocol. This scheme facilitates system maintainability while enabling limitless evolution.
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CPU only or GPU

CPU-only operation is possible with the AI inference engine based on Intel OpenVINO. Nvidia GPU cards are perfect for upgrading AI solutions or increasing server channel capacity.

Flexibility

Enables the creation of hybrid architectures, combining server-side, edge, and on-board camera solutions, fully integrated with third-party systems for improved performance.
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Easy to Integrate

Alarms are automatically forwarded to 3rd party systems, using standard protocols, to quickly alert operators and make instant decisions in case of traffic incidents.
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Fast Calibration

The integrated 3D object tracking module simplifies calibration by adjusting parameters based on the object’s distance, with autocalibration in the latest Sprinx version.

Application Fields

Roads
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Highways
Tunnels
Bridges
Traffic Data Collection

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
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