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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.
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 Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
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