The latest upgrade of the Avigilon Control Center (ACC) video management software ACC 7 software introduces an entirely new way to monitor live video through its Focus of Attention interface, enabling operators to see at a glance what is happening across the entire site and more effectively respond to the most important events.
Avigilon said the Focus of Attention interface redefines the experience for monitoring live video. It helps increase operator effectiveness by providing an overview of events occurring across all cameras in the site. This includes Avigilon analytic events, Unusual Motion Detection (UMD) events, motion events, and alarms. Operators will be able to prioritise events and identify the most important events at a given time by reviewing the associated live and recorded video.
ACC 7 also features a new dark mode. The software introduces a new theme with colours specifically chosen to reduce eye strain and improve user experience in dark environments, such as video surveillance control rooms.
Ecl-ips is an Avigilon partner and our customers have found, that even with earlier versions of ACC software, you can have amazing control over your CCTV system and it has assisted them in meeting a range of needs when searching for events.
The Avigilon Appearance Search video analytics technology is a sophisticated deep learning artificial intelligence (AI) search engine for video and last year the company made life much easier for you by creating more categorisation. It sorts through hours of video with ease, to quickly locate a specific person or vehicle of interest across an entire site. For example, you can do searches based on a person’s gender and the colour of their clothes.
Meanwhile the Avigilon Unusual Motion Detection (UMD) technology is an advanced artificial intelligence (AI) technology that brings a new level of automation to surveillance, by revealing events that may have otherwise been missed. Without any predefined rules or setup, UMD technology is able to continuously learn what typical activity in a scene looks like, and then detect and flag unusual motion.