Intelligent solution for traffic monitoring

Automatic Incident Detection and Traffic Data Collection software solution for smarter and safer mobility.

Leveraging Deep Learning (AI) and 3D Object Tracking, 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 insights on the distribution and composition of traffic to operators and other stakeholders.

How it works

The software platform is available both server-side and onboard standard CCTV cameras. Sprinx, as an Independent Software Vendor (ISV), is focused on developing software platforms that can be installed on market hardware and belonging to different brands, both server-side and at the edge.

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 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.

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 application, has long since undertaken a verification activity aimed at selecting and certifying 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.

The web user interface also displays a dashboard and an event journal for tuning and maintenance purposes. Upon detecting an event and collecting traffic flow information, alarms and data can be automatically forwarded to third-party systems using standard protocols and displayed on the Sprinx centralized management platform, dragon.


Key Features
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Field Proven AI
More than 15.000 cameras around the world turned into intelligent sensors by Sprinx software since 2009
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On board Camera
Installable directly onboard the Open Platform video cameras major CCTV manufacturers on the market
High Performance
No more trade-off between high detection accuracy and low false alarm rate, even in challenging outdoor environments
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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 thanks to the AI inference engine based on Intel OpenVINO.
Nvidia GPU cards ideal to upgrade existing hardware to AI-based solution or increase drastacally the number of channels on a single server.
It allows the construction of hybrid architectures: Server-side (Intel) and on-board camera third-party integration
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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 & Configuration
Centralized upper-level user experience empowered by Dragon.
Application Fields
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