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Today, the market has numerous readymade Artificial Intelligence (AI) tools available that recognize different aspects of video content – like objects, transcripts, on-screen text, celebrity faces, emotions and more. However, users experience several challenges while working with these, as most AI tools are trained to solve generic use cases across industries, which limits their effectiveness. While standalone AI engines can recognize specific elements within individual video frames, they lack the ability to combine these findings in a contextual manner to identify complex sequences (like a particular character in a car chase).
A module of PFT’s CLEAR Media ERP Suite, Vision Cloud is a native media recognition AI platform that builds Machine Wisdom from intelligence to transform business operations. The innovation draws on PFT's ability to build Machine Learning models that solve specific business challenges derived from the company's decades of experience collecting, curating, and annotating content (400 million tags to date). Leveraging Machine Wisdom, Vision Cloud synthesizes and focuses on the most important annotations to deliver search results that are far more meaningful and contextual. The platform can be used to search digital media and easily extract relevant content for multiple use cases across the content lifecycle – right from creation and post production to distribution and marketing.