How Artificial Intelligence Is Transforming Video Security

by Avigilon
Sep 5, 2018

Share

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 security 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 Video Security

In the past, video 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 security 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 video security, 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.

Keep current on Avigilon

Sign up to receive our blogs.

Follow us on Twitter, Facebook, LinkedIn, and view Avigilon videos on YouTube.

Category: Security

Tags:


For Media Relations

Please email media@avigilon.com or call 604-629-5182


Glossaire

Version ACC Dernière version d'ACC testée avec une caméra. Cela implique également la prise en charge des versions ultérieures d'ACC, sauf mention contraire.
Entrée audio Recevoir le flux audio depuis la caméra.
Sortie audio Envoyer l'audio au haut-parleur relié à la caméra.
Recherche automatique Recherche automatique de l'adresse IP de la caméra lors de la connexion dans un environnement LAN.
Type compression Décrit les types d'encodage pris en charge pour la caméra.
Type de connexion Décrit le type de pilote utilisé pour l'appareil. « Natif » se rapporte au pilote spécifique au fabricant.
Suppression de la distorsion Suppression de la distorsion dans le client pour les caméras Fish-Eye ou panoramiques.
Entrée numérique Recevoir des entrées numériques ou de relais à partir de la caméra.
Sortie numérique Déclencher des sorties numériques ou de relais physiquement connectées à une caméra.
Mouvements Affichage rapide de la disponibilité ou non de l'enregistrement des mouvements pour la caméra.
Configuration des mouvements Configuration de la détection des mouvements dans le client ACC.
Enregistrement des mouvements Prise en charge de l'enregistrement des mouvements.
PTZ Affichage rapide de la disponibilité ou non de la fonctionnalité PTZ pour la caméra.
Contrôle PTZ Mouvement PTZ de base.
Schémas/Tours de garde PTZ Capacité à créer et à déclencher des schémas PTZ, ou des tours de garde PTZ, en fonction de la prise en charge de la caméra.
Réglages prédéfinis PTZ Créer et déclencher des positions prédéfinies PTZ.
Type d'unité Type de caméra.
Vérifié par Entreprise qui a testé la caméra et indiqué ses fonctionnalités.
Microcode vérifié Specific firmware version tested.
Fabricant Blah
Modèle DS-2DE2103
Type de connexion ONVIF
Type d'unité Caméra IP PTZ
Compression Types H.264

  • Version ACC
  • Modèle DS-2DE2103
  • Type de connexion ONVIF
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah
  • Fabricant Blah

Vérifié par :

Vendor
Télécharger le rapport de test