IronYun announces integration of Vaidio AI vision platform with Genetec Security Center
IronYun, a leader in AI vision for security, safety and operational applications, today announced the integration of the award winning Vaidio AI Vision Platform with Genetec Security Center.
Genetec customers can now add advanced, accurate, and field-proven AI video analytics to their existing infrastructure, to improve security, safety, and operational efficiency.
"Integrating Vaidio with Security Center makes it easy to add advanced artificial intelligence to existing infrastructure to increase functionality and make security operations even more effective and efficient," Paul Sun, IronYun CEO, said.
The Vaidio AI Vision Platform is an open software platform that can be deployed on-prem on servers, on edge devices, and/or in the cloud. Vaidio orchestrates multiple next-generation AI video analytics engines to provide such functions as video search, intrusion detection, license plate recognition, face search and recognition, people and vehicle counting, vehicle make and model recognition, social health analytics, and many others. Vaidio works with any IP camera and integrates out of the box with Genetec Security Center.
Vaidio AI monitors real-time video streams with superhuman accuracy, and accelerates forensic video search of stored video. The platform offers the flexibility to purchase only needed analytics, with the option to run multiple analytics on a single camera, and to add more analytic functionality over time. Vaidio's optimized, next-generation AI vision algorithms maximize hardware resource efficiency, to effectively lower overall solution costs relative to competitive alternatives.
The latest Vaidio releases add new AI-enabled safety detection, privacy blurring and associated data and user management features, a fully featured parking management application, (the first third-party application developed on the Vaidio platform), Vaidio Data, a robust business intelligence engine, and Vaidio Command Center, for centralized management of complex, distributed, large scale environments.
