Sprinx
traffix.ai
Leveraging powerful Deep Neural Network is a complete video-based software platform for Automatic Incident Detection and Traffic Data Collection.
co.exist
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.
multi-camera tracking module
The revolutionary way to fully understand vehicles behaviour
dragon
Management and visualization platform that allows the collection and aggregation of alarms and data from multiple network-connected devices, running Sprinx video analytics software.
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 insights on the distribution and composition of traffic to operators and other stakeholders.
co.exist
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.
Multi-camera tracking module
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
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:
- Centralized management of the configuration of the individual Sprinx platforms connected
- Unified graphical representation of the connected Sprinx systems
- Single communication gateway