How Artificial Intelligence Is Transforming Video Surveillance

by Avigilon
Sep 5, 2018

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Searching through large volumes of recorded video is a challenging yet crucial task for security operators. We have reached a critical point where the limitations of the human attention span make it difficult for security operators to search through the volumes of surveillance data effectively.

To answer this challenge, Avigilon is developing technologies and products that harness the power of AI to dramatically increase the effectiveness of security systems by focusing human attention on what matters most. By delivering true video content search, real-time alerts and automation, Avigilon provides effective security solutions that are helping to solve real-world challenges.

Transforming Surveillance

In the past, video surveillance searches were conducted per camera, based on time, motion and activity. However, a person or object of interest may not be specific to a single camera, and their clothing or appearance may change over time, making it necessary for security operators to quickly and accurately search all cameras across a site to locate what they are looking for.

Through the power of AI, this is now possible. Advanced AI technology, like Avigilon Appearance Search™ technology, provides security operators with the ability to quickly locate a specific person or vehicle of interest across an entire site. This enhanced search capability is designed to help improve response times by answering the critical who, what, where and when of an investigation with decisive action.

How AI and Appearance Search Are Being Applied

This technology is being deployed across a range of verticals to address some of the industry’s biggest security challenges. For instance, Fulton County School System in Metro Atlanta, Georgia has installed a complete Avigilon surveillance solution to help enhance safety at more than 100 of its schools. Advanced AI technology, combined with the advanced search capabilities of Avigilon Control Center (ACC) software, has provided their operators with powerful insights that enable proactive event response and can help save time and effort during critical investigations.

Charlotte Hungerford Hospital (CHH) in Torrington, Connecticut has also deployed an AI-based Avigilon solution to improve security across its multiple locations. Avigilon Appearance Search helps CHH when they need to quickly locate a specific person or vehicle of interest across all cameras both inside the hospital and care centers as well as outside parking lots. This technology provides CHH’s operators with enhanced situational awareness, enabling proactive event response.

A New Level of Automation

Avigilon Unusual Motion Detection (UMD) technology uses AI in video search to bring a new level of automation to surveillance, helping to reduce hours of work reviewing recorded video to minutes. Without any pre-defined rules or setup, UMD technology is able to continuously learn what typical activity in the scene looks like, and then detect and flag unusual motion. This allows operators to search through large amounts of video faster, as UMD focuses their attention on the atypical events that may need further investigation.

 

© 2018, Avigilon Corporation. All rights reserved. AVIGILON, the AVIGILON logo, AVIGILON APPEARANCE SEARCH, AVIGILON CONTROL CENTER, and ACC are trademarks of Avigilon Corporation. Other names or logos mentioned herein may be the trademarks of their respective owners.

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Glossary

Versão do ACC Versão mais recente do ACC testada com câmera Também implica em suporte para as versões mais recentes do ACC, a menos que seja especificamente listado de outra forma.
Entrada de Áudio Receba feed de áudio da câmera.
Saída de áudio Envie áudio para o alto-falante conectado à câmera.
Detecção automática Detecção automática do endereço IP da câmera quando conectada a um ambiente de LAN.
Tipo de Compressão Descreve os tipos de codificação compatíveis com a câmera.
Tipos de conexão Descreve o tipo de driver do dispositivo usado. Nativo refere-se ao driver do dispositivo específico do fabricante.
Recuperação de imagem distorcida Recuperação de imagem distorcida no cliente para câmeras olho de peixe ou panorâmicas.
Entrada Digital Obtenha entradas digitais ou de relê da câmera.
Saída digital Acione as saídas digitais ou de relê conectadas fisicamente à câmera.
Movimento Exibição rápida para saber se a gravação de movimento está disponível para a câmera.
Configuração de movimento Configuração da detecção de movimento no Cliente ACC.
Gravação de movimento Suporte para gravação baseada em movimento.
PTZ Exibição rápida para saber se a funcionalidade de PTZ está disponível para a câmera.
Controle PTZ Movimento de PTZ básico.
Padrões/tours de PTZ Capacidade de criar e acionar padrões de PTZ ou tours de PTZ, dependendo do suporte da câmera.
Predefinições de PTZ Crie e acione posições predefinidas de PTZ.
Tipo de Unidade Tipo de câmera.
Verificado por Organização que testou as câmeras e relatou os recursos.
Firmware verificado Specific firmware version tested.
Fabricante Blah
Modelo DS-2DE2103
Tipos de conexão ONVIF
Tipo de Unidade Câmera IP PTZ
Compression Types H.264

  • Versão do ACC
  • Modelo DS-2DE2103
  • Tipos de conexão ONVIF
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
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