Appearance Search can improve incident response time and enhance forensic investigations
Avigilon Appearance Search™ video analytics technology is a sophisticated deep-learning AI search engine for video. It sorts through hours of video with ease to quickly locate a specific person or vehicle of interest by entering physical descriptions, uploading a photo, or finding an example within the recorded video. It can improve incident response time and enhance forensic investigations by helping operators compile robust video evidence, create a powerful narrative of events, and reveal a vehicle or individual’s route or last-known location.
Find Who You Are Looking For, Faster
Appearance Search can improve incident response time and enhance forensic investigations by helping operators compile robust video evidence, create a powerful narrative of events, and reveal a vehicle or individual’s route or last-known location.
Integrated Solution
Integrated with Avigilon Control Center (ACC) 7 and ACC™ 6 Enterprise edition software, Avigilon cameras with self-learning video analytics and select Avigilon Network Video Recorders (NVRs).
Initiate Searches Based on Physical Descriptions
Allows operators to search for a person or vehicle by selecting certain specific physical descriptions, including gender, hair color, clothing color, and age categorization for people and vehicle sub-type and color for vehicles.
Search Across Multiple Sites
Initiate a search for a person or vehicle of interest across one site, then continue the search for the same subject of interest by seamlessly transitioning from one site to the next site that uses the same version of ACC software.
Facial Analytics Included in Search
Incorporating the unique characteristics of a person’s face enables the Appearance Search technology to understand that it is searching for the same person, even if items such as their clothing change over time.
Playback, Bookmark & Export Tools
Build a comprehensive set of video evidence from multiple video sources, to create a powerful narrative of events.
