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What is QBurst Video Analytics?

Video content is set to become increasingly prevalent in various industries. The capability to swiftly derive insights from both live and pre-recorded videos will be crucial. By employing machine learning algorithms, organizations can analyze video feeds to glean valuable information that enhances business performance. This form of video analysis finds applications in diverse fields such as marketing, healthcare, and transportation. As video content analysis gains traction, it plays a significant role in streamlining operations and boosting efficiency across these sectors. Furthermore, integrating thermal cameras with video analytics software allows for motion detection in low-light conditions, providing real-time alerts for potential intrusions. Security teams can then assess the situation visually and respond accordingly. Additionally, live traffic feeds can facilitate object recognition and help identify potential traffic bottlenecks, ultimately leading to safer and more efficient roadways. The advancements in video analytics are likely to revolutionize how we monitor and respond to various situations, highlighting its importance in modern society.

What is IBM Intelligent Video Analytics?

IBM's Intelligent Video Analytics is transforming the way organizations and agencies around the world analyze footage from stationary cameras, including those used for security, CCTV, and traffic monitoring, enabling them to extract crucial insights and uncover patterns that may be concealed within hours of recorded video. The system offers real-time alerts to capture significant events, comprehensive indexing based on content to identify important images and trends, and a flexible, standards-compliant framework. Moreover, it supports the integration of both pre-recorded videos from fixed cameras and mobile devices, allowing analysts to quickly retrieve essential information and find relevant visuals, thereby potentially speeding up the investigation process. Additionally, the advanced facial recognition features enhance lead generation and risk assessment by linking faces in the footage to an organization's watch list, which can significantly accelerate the identification of persons of interest. This sophisticated approach not only optimizes video analysis but also provides users with essential tools to manage incidents more efficiently, ensuring a more proactive response to various situations. Ultimately, the versatility of this system positions it as a valuable asset for organizations aiming to enhance their security and operational effectiveness.

Media

Media

Integrations Supported

Genetec AutoVu
IBM Cloud
IBM Watson Machine Learning Accelerator
Milestone Analytics

Integrations Supported

Genetec AutoVu
IBM Cloud
IBM Watson Machine Learning Accelerator
Milestone Analytics

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

QBurst

Date Founded

2004

Company Location

United States

Company Website

www.qburst.com/en-us/analytics-services/video-analytics/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/common/ssi/ShowDoc.wss

Categories and Features

Categories and Features

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