Artificial Intelligence & Video Analytics
Detect, Verify and Act on Critical Events
in Kansas City
Better analysis, less effort.
Increase insights from data in video files by using AI to automatically detect, analyze, and interpret activity in real time. Works with classifications of object such as people, cars, and license plates within image and video feeds in real time.
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 by finding an example within recorded video. 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.
AI-powered facial recognition technology, within Avigilon Control Center (ACC), helps you accelerate response times by quickly identifying people of interest. Facial recognition offers the context to make better informed decisions that empower you to respond to events proactively.
Focus of Attention
Focus of Attention (FoA) introduces a new concept in video monitoring and brings to the user a more intuitive way to consume information about potential security events. In the Avigilon Control Center (ACC) the Focus of Attention tab gives you a high-level overview of all sites and cameras you have access to. As new alarms and events occur, the video appears in the recent events list and the corresponding camera changes color in the Overview. Active alarms are displayed and cameras are highlighted in red until the alarm is acknowledged and/or resolved.
License Plate Recognition
Avigilon LPR analytics automatically reads license plate information from vehicles, linking it to live and recorded video. This enables security operators to search and quickly find specific captured license plate video for verification and investigation.
Next Generation Video Analytics
Self Learning Video Analytics
Through the use of advanced pattern-based analytics and teach-by-example technology, Avigilon video analytics are designed to increase the productivity of security personnel while making monitoring more affordable and efficient.
Unusual Activity Detection
Unusual Activity Detection (UAD) provides new edge-based intelligence that uses advanced AI technology. It is designed to enable the detection of atypical activities, such as people and vehicles travelling at faster speeds or are in unusual locations and alert operators.
Unusual Motion Detection
Unusual Motion Detection (UMD) is an advanced AI technology that brings a new level of automation to security. 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. This allows operators to filter through large amounts of recorded video faster when using Avigilon Control Center (ACC) video management software, as it flags atypical events that may need further investigation, helping to reduce hours of work to minutes.