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. 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.
Customers using our AI-powered technologies can have a significant impact on society. That’s why we take a more rigorous approach to the application of AI that extends beyond the fundamental tenets of fairness, privacy, understandability, and reliability. The use of facial recognition in our technology is ‘assistive’ in that we only use it to assist humans in performing tasks they are already authorized and allowed to do. When applied correctly, AI is an incredibly powerful tool that can be used to increase the effectiveness of physical security systems, deliver on business outcomes, and improve safety.
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.
License Plate Recognition (LPR) Analytics
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
Our most advanced analytics technology uses neural networks to power self-learning video analytics, delivering improved accuracy in both perimeter protection and in crowded, indoor environments.
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 traveling 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.