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.
co.exist in the server-side solution, using Intel® OpenVINO™ toolkit, is entirely agnostic to the camera brand, requiring simply a standard Onvif-RTSP stream for analysis. 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.
Activating professional algorithms directly onboard the camera represents an extremely interesting and cost-effective solution in distributed architectures, such as urban ones. Moreover, onboard analytics allow not worrying about the network infrastructure.
Using for the analysis of the Raw image coming directly from the processor also allows to keep the camera performance constant, not even decreasing the flows and profiles available on the camera.
The use of neural networks trained for behaviour analysis applications, integrated with a 3D object tracking approach, allows being particularly adaptive in pre-existing CCTV systems ensuring good performance even in unsuitable installation and environmental conditions.
Additionally, the co.exist web user interface displays a dashboard and an event journal for tuning and maintenance purposes. Mobility data and alarms can be forwarded to third-party systems using standard protocols and displayed on the Sprinx centralized management platform, dragon.