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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Glosario

Versión de ACC Última versión de ACC probada con la cámara. Incluye compatibilidad con las versiones posteriores de ACC, a no ser que especifique lo contrario.
Entrada de audio Recibir sonido desde la cámara.
Salida de audio Enviar sonido al altavoz conectado a la cámara.
Descubrimiento automático Descubrimiento automático de la dirección IP de la cámara al conectarse dentro de un entorno LAN.
Tipo de compresión Describe los tipos de codificación compatibles con la cámara.
Tipo de conexión Describe el tipo de controlador del dispositivo utilizado. "Nativo" se refiere al controlador del dispositivo específico del fabricante.
Corrección de la aberración esférica Corrección de la aberración esférica de las cámaras panorámicas o con objetivos ojo de pez.
Entrada digital Recibir entradas digitales o de relé desde la cámara.
Salida digital Activar las salidas digitales o de relé conectadas de forma física a la cámara.
Movimiento Visualización rápida de si la grabación de movimiento está disponible para la cámara.
Configuración de movimiento Configuración de la detección de movimiento dentro de ACC Client.
Grabación de movimiento Compatibilidad con grabación basada en movimiento.
PTZ Visualización rápida de si la funcionalidad PTZ está disponible para la cámara.
Control PTZ Movimiento PTZ básico.
Patrones/rondas PTZ Habilidad para crear y activar patrones PTZ o rondas PTZ, según la compatibilidad de la cámara.
Preselecciones PTZ Crear y activar las posiciones de preselección PTZ.
Tipo de unidad Tipo de cámara.
Verificado por Organización que ha probado la cámara e informado sobre sus capacidades.
Firmware verificado Specific firmware version tested.
Fabricante Blah
Modelo DS-2DE2103
Tipo de conexión ONVIF
Tipo de unidad Cámara IP PTZ
Compression Types H.264

  • Versión de ACC
  • Modelo DS-2DE2103
  • Tipo de conexión ONVIF
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
  • Fabricante Blah
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