Date
03/14/2023
Cemtrex Inc. announced Vicon Industries has released a new suite of AI-based analytics in an enhanced Vicon Roughneck AI Camera series, further improving its unified VMS platform for controlling video, access control, license plate recognition (LPR), and other integrated applications.
Vicon’s enhanced lineup of Roughneck AI Cameras and latest VMS release — Valerus 23.1 — combine to deliver powerful object classification, tracking, recording and forensic searching. Vicon’s Roughneck AI Cameras, with impressive features including advanced analytics, smart/adaptive IR, Starlight low-light technology, and -40° operating temps, now include built-in AI-based analytics. Vicon’s AI-based analytics intelligently identify people and vehicles to help customers perform more meaningful searches in Valerus and diminish nuisance alarms triggered by irrelevant motion. This tight integration between its enhanced cameras and Valerus further improves Vicon’s established position as an end-to-end solutions provider.
Benefits include:
“Vicon continues to push the boundaries of next-generation AI security technology with these latest additions to the award-winning lineup of Roughneck Cameras,” said Saagar Govil, Chairman and CEO of Cemtrex. “As the hub of an integrated security solution, Valerus continues to provide features users count on to make their job easier and more intuitive and adding AI edge-based analytics further enhances its complement of advanced features.
“We view this release as the first step in our AI roadmap and ultimately believe that AI is going to contribute massively to improving the security industry. With the advent of GPTs and multimodal large language models, we believe there is significant opportunity to disrupt the status quo of how the security industry traditionally operates. Vicon’s product roadmap is intensely focused on leveraging these new AI tools to deliver features and benefits, over the coming months and years, that allow our customers to efficiently identify and respond to genuine threats quicker, and with fewer resources,” concluded Govil.
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