AI Video Analytics for Vehicle and People Mobility
Sprinx is an Italian Independent Software Vendor (ISV), specialised in designing and providing video intelligent software platforms able to analyse the mobility of vehicles and people. Our powerful and innovative Deep Leaning module, combined with the 3D object tracking technology, has significantly enhanced the ability to collect statistical data and automatically detect events. Born in 2009, Sprinx has earned a leading role in the world market by acquiring international awards for the innovative value of its solutions. Thanks to its internal R&D Department, with high-profile figures in the field of Computer Vision and Artificial Intelligence, Sprinx is one of the few players capable of providing solutions for intelligent monitoring of the people and vehicle mobility in the Traffic and Transportation industries, in the Private and Public sectors. Sprinx is present with its technology in over 15 countries worldwide and has provided over 15,000 video analysis channels thanks to its added-value local partners.
Leveraging powerful Deep Neural Network is a complete video-based software platform for Automatic Incident Detection and Traffic Data Collection.
Ideal for smart cities, is a video analytics software platform based on the most modern and innovative Object Tracking and Deep Learning technology designed to track people and vehicles.
The revolutionary way to fully understand vehicles behaviour
Management and visualization platform that allows the collection and aggregation of alarms and data from multiple network-connected devices, running Sprinx video analytics software.
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 insights on the distribution and composition of traffic to operators and other stakeholders.
co.exist can analyze video streams in real-time, track objects in the scene, quickly identify anomalous situations, and collect statistical data related to mobility of people and vehicles.
co.exist is a sustainable solution, transforming even existing standard CCTV cameras, installed for purely video surveillance purposes, into intelligent sensors for mobility analysis.
co.exist is a solution flexible, scalable, adaptive and sustainable, which allows the optimisation of investments and the reduction of the environmental impact.
The Multi-Camera Tracking Module drastically increases the potential of Sprinx deep learning-based video analytics for vehicle and people mobility, such as traffix.ai and co.exist, in tunnels and intersections.
The activation of this Module enables the connection of multiple fields of view to reconstruct the complete trajectory of people and vehicles and make mobility even safer, smarter, more sustainable, and efficient.
Dragon allows to simultaneously concentrate all events, statistical data and system alarms generated by the different video analytics platforms and to interface them with third-party systems:
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