Graydient-V for Video is a highly scalable solution that gives organizations the ability to effectively monitor thousands of cameras at once, where the technology learns normal vs. anomalous behavior within data streams and issues real-time insights that enable security personnel to hone in on potential threats. Graydient-V autonomously learns what constitutes normal behavior within a video camera’s field of view. When anomalous activity is detected, security and operations personnel receive real-time video alert clips that act as proactive, early-warnings, enabling security personnel to better assess vulnerabilities and mitigate risk in real time
Graydient-V continuously adapts and evolves, automatically adjusting to and learning what constitutes “normal” behavior even as environmental conditions evolve. This dynamic, self-learning approach to analytics not only produces manageable and relevant alerts, but also makes it possible for Graydient-V to detect truly unexpected and unpredictable events, which are often the most dangerous and costly. Graydient-V allows city-wide infrastructures and enterprise-class operations to effectively monitor thousands of cameras in a real-time, proactive fashion, without data overload.
Graydient-V is highly scalable, allowing it to be deployed as a stand-alone solution or within a distributed architecture to meet organizational needs.
Graydient-V’s open-systems design is highly scalable and can integrate seamlessly with a wide range of VMS and PSIM solutions