Co.exist: social distancing detection solution

Video-based smart solution for people & vehicle mobility analysis

Exploiting the powerful neural network, co.exist is the Sprinx solution dedicated to multimodal mobility analysis in the city, logistics, transport and public sectors.

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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.

How it works

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

co.exist combines Artificial Intelligence algorithms, a user-friendly interface and Data Intelligence to monitor people and vehicle mobility by generating alarms and statistical data without installing additional equipment. The software platform, equipped with its front-end, can be easily integrated into more complex system architectures, public and private, through the activation of standard communication protocols or custom ones.

In the case of server-side solutions, the co.exist is entirely agnostic to the camera brand, requiring a standard Onvif-RTSP stream for analysis. The co.exist 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.

As for the at-the-edge solutions, Sprinx has been undertaking a verification activity for some time now aimed at selecting and certifying devices capable of guaranteeing 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.

Co.exist

Dragon for co.exist

Event Manager & Event Journal

co.exist can quickly alert operators in case of accidents, traffic slowdowns or gatherings, sending event notifications, as well as to the centralized management platform Sprinx dragon, to third-party systems (eg VMS, SCADA or ITS platform) capable of triggering scenarios of visualization and intervention.

Dragon for co.exist

Data Collection for Traffic Optimization

co.exist collects multimodal traffic data, enhancing video surveillance cameras with functions of other sensors. It optimizes investments, reduces environmental impact, and enables quick interventions and strategic planning to improve traffic conditions and quality of life.

With Multi-camera tracking module

Video Analysis
R-Evolution

Thanks to the integration of the add-on Multi-camera tracking module, co.exist enables to track people and vehicles even in wide areas such as squares and intersections/roundabouts by analyzing the behaviour of people and vehicles in their entire movement while in view of different cameras.