QBurst Video Analytics Description
Video content will become more mainstream. It will be important to have the ability to quickly extract intelligence from both live and recorded footage. Machine learning algorithms are applied to video feeds to extract information that can be used to improve business outcomes. Video analysis is used in many other areas, including product marketing, patient care and transportation. Video content analysis is being used more often to transform operations and improve efficiency in these areas. Thermal cameras can be connected to video analytics software to detect movement in darkness and warn of trespassers in real-time. Security personnel can visually inspect the situation and take appropriate action. Live traffic streams can be used to identify objects and reveal possible road congestion.
QBurst Video Analytics Alternatives
Switcher Studio allows you to capture video from multiple angles and edit it in real-time. This will allow you to connect with your community in a more engaging way. You can stream it live or save it for later. Your audience will be attracted to you with relevant content. Make it look great. There's no need to purchase, lug or learn largeequipment. Switcher is compatible with iPads and iPhones. Switcher is so intuitive that anyone can create amazing video with it. You don't need to hire outside videographers or producers. It takes an hour to edit every minute of edited video. Every minute of live-editing takes, well, one second. You can share every moment, live or recorded, external or internal, with video -- no matter what it holds.
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3Q is an API-first video infrastructure for developers and engineering teams who want direct control over their media backend. A REST video API and native player SDKs give you programmatic access to hosting, ingestion, encoding, live streaming, video-on-demand, and delivery, so you can build video portals, streaming apps, or OTT backends on a single European platform.
The stack is transparent by design. 3Q supports adaptive bitrate streaming over HLS and DASH with mixed HEVC and AVC codecs and automatic Live-to-VoD. Delivery runs over a proprietary global CDN, multi-CDN, and eCDN with tokenised access, encryption, and HTTP/2 over TLS 1.3. The Cookie- and Consent-free HTML5 Video Player is barrier-free to WCAG and needs no consent layer. Video AI exposes speech-to-text transcription, automatic subtitles, translation, and chapter markers through the same API, and integration fits your existing pipeline and CI workflows.
What sets 3Q apart is ownership. 3Q runs on its own independent European video infrastructure, not rented hyperscaler capacity, so your data stays in the EU and under German jurisdiction. 3Q is ISO/IEC 27001 certified and GDPR-compliant, with modular pay-as-you-go pricing and 24/7 human support from engineers who know the platform.
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IBM Intelligent Video Analytics
IBM's Intelligent Video Analytics is assisting organizations and agencies globally in interpreting footage from stationary cameras, such as those utilized for security, CCTV, and traffic monitoring, to derive essential insights and discern patterns hidden within extensive hours of recorded video. It provides real-time notifications to highlight significant events, rich indexing based on content to pinpoint vital images and trends, and a standards-compliant, adaptable framework. Additionally, it allows for the incorporation of both pre-recorded videos from fixed cameras and mobile ones. By processing these video files, analysts can swiftly extract vital details and locate pertinent images, potentially expediting investigations. Furthermore, the system's advanced facial recognition capabilities can enhance lead generation and risk evaluation, enabling the correlation of faces within the footage to an agency's watch list and facilitating the identification of persons of interest, which may significantly hasten the investigative process. This multifaceted approach not only streamlines video analysis but also empowers users with the tools necessary to respond to incidents more effectively.
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VisionTrack
VisionTrack is an innovative video telematics platform that utilizes artificial intelligence to merge interconnected cameras, live fleet tracking, and sophisticated analytics, aiming to enhance road safety, assess driver conduct, and minimize operational risks for organizations. By integrating smart dashcams, mobile digital video recorders (MDVRs), and AI-powered video evaluation, it efficiently captures and transmits vital footage and vehicle information immediately following accidents, near misses, or instances of reckless driving, providing fleet managers with comprehensive context necessary for incident verification and efficient claims processing. The award-winning IoT platform, Autonomise.ai, further processes and analyzes real-time data from an extensive array of connected devices, yielding actionable insights that improve driver performance, protect against fraudulent claims, uphold duty of care, and ensure adherence to safety regulations. As a result, organizations can significantly boost their operational efficiency and safety protocols, leading to overall improvements in fleet management.
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Integrations
No Integrations at this time
Company Details
Company:
QBurst
Year Founded:
2004
Headquarters:
United States
Website:
www.qburst.com/en-us/analytics-services/video-analytics/
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Training Videos
Customer Support
Business Hours
Online Support
QBurst Video Analytics Features and Options
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