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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 Google Cloud Video AI?

Sophisticated video analysis systems are capable of recognizing more than 20,000 distinct objects, places, and activities within video footage. These technologies facilitate the extraction of detailed metadata at various levels, whether looking at the entire video, individual shots, or specific frames. Through AutoML Video Intelligence, users can create custom entity labels, allowing for a personalized experience tailored to specific needs. In addition, the technology provides near real-time insights by utilizing streaming video annotation along with triggers based on object detection. This functionality not only enables the development of engaging customer experiences through highlight reels and tailored recommendations but also applies to both archived and live video streams. Users can perform searches within their video libraries akin to traditional document searches, making it simpler to find specific content. The comprehensive metadata that is extracted allows for effective indexing, organization, and filtering of video assets, ensuring that the most relevant pieces are easily accessible. By harnessing these advanced features, organizations can optimize their use of video data, ultimately improving their operations and fostering deeper engagement with their audiences. This advancement in video analytics technology marks a significant step toward smarter, more efficient content management strategies.

Media

Media

Integrations Supported

BOSCO
Google Cloud AutoML
Google Cloud Platform
Unremot

Integrations Supported

BOSCO
Google Cloud AutoML
Google Cloud Platform
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.10 per minute
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

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/video-intelligence

Categories and Features

Categories and Features

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