Eluviant Launches Next-Generation Generative AI Model for Enterprise Video Surveillance
AI company Eluviant launched Aurora Flow, a generative AI model built for enterprise-scale video surveillance deployments. The solution has already been deployed in live environments and can operate across multiple cameras in near real time, including in fully isolated environments with no external network connectivity.
Aurora Flow solves a challenging problem facing large-scale commercial deployments of video intelligence: analyzing not just what is visible in individual video frames, but what is happening across a sequence of movements and events over time. This builds on Eluviant’s AI platform, which combines an unsupervised self-learning engine that identifies unforeseen events, with the company’s vision-language model (Aurora) that has been embedded in the live alert decision-making for the past 18 months.
By recognizing movement patterns and contextualizing behavior in near real time, Aurora Flow unlocks use cases previously out of reach for organizations operating in secure and sensitive environments. Equipment tampering, unsafe climbing in dangerous environments and dangerous driving are just a few of the behaviors that can be more accurately identified using AI video understanding.
Looking for quick answers on security topics? Try Ask SDM, our new smart AI search tool. Ask SDM →
Looking for a reprint of this article?
From high-res PDFs to custom plaques, order your copy today!
