The update of this video management software includes a new watchlist and facial recognition capabilities, in addition to unusual activity detection analysis.

Avigilon ACC 7

Motorola Solutions has announced the new revision of the video security and analysis solution, Avigilon Control Center (Acc). The version 7.6 Enables enterprise customers to better monitor their facilities through new AI-powered facial recognition features and analytics.

The introduction of this technology is part of Motorola Solutions' commitment to creating cutting-edge solutions that address the company's security needs., while protecting individual privacy rights and enforcing responsible use of analytics and data management.

In accordance with this commitment, ACC's new video management capabilities 7.6 include controls to manage retention and accessibility of watchlist data, the ability to create and manage multiple watch lists from within the app and the option to upload reference images to a ready watch (Watch List).

These features are natively integrated into the solution, meaning the technology is developed and owned by Motorola Solutions rather than a third-party vendor. In addition, New facial recognition capabilities don't make consequential decisions or initiate actions on their own.

“When used responsibly, Facial recognition is a very powerful tool that can help in many ways, including better-informed decision-making that enables proactive response to events”, comments John Kedzierski, Senior Vice President, Video Security Solutions, Motorola Solutions.

With increased vigilance on school campuses, Managers can employ technology to ensure that anyone deemed a threat to students and campus staff has their photo added to the system..

When making a face-to-face comparison with the watch list, School security operators are notified so they can take proactive steps to assess the situation and ensure the safety of students and staff.

In addition to the new watch list and facial recognition capabilities, Acc 7.6 Features unusual activity detection analytics that deliver site-wide intelligence, with the ability to recognize activities out of the ordinary, such as unusual speed of movement or location of people or vehicles.

This intelligence distinguishes between typical and abnormal events by continually learning what usual activity might be for a scene over time.. For example, If there is an individual running through a crowded mall, A security guard could be alerted to locate where you are and take steps to understand the situation..


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By • 1 Apr, 2020
• Section: Systems control, Detection, Video surveillance