ClickCastX Releases Advanced Artificial Intelligence Upgrade

ClickCastX Releases Advanced Artificial Intelligence Upgrade

LOS ANGELES — ClickCastX has announced the integration of a two new Artificial Intelligence (AI) APIs with its content management solution, bringing clients the latest in facial, image and logo recognition technology from Google and Microsoft.

“This new integration allows our clients, for the first time, to utilize the recognition learning APIs of Microsoft and Google to automatically learn from their photo and video content, and create tags within the ClickCastX CMS without having to do any manual work,” explains ClickCastX Owner Claude Lai.

Lai says that in the early days of the online adult business, most sites were built using static HTML pages, and few had any kind of CMS, unless it was custom built.

“Building and managing any kind of CMS was available only to clients who could afford the expense to build one,” Lai says. “Now with the recent release and deployment of these new recognition APIs, it’s another technological leap forward to full site publishing automation.”

The new tools allow content to be uploaded and processed through matching API algorithms.

“What this means in simple terms is that if you have a deep library of models on your site, these APIs can match new content you produce, automatically identifying these models without users having to [manually] assign the models to new content,” Lai explains. “These APIs can also identify objects such as a bedroom, high heels, a man, woman, etc. The more these APIs see, the more they learn.”

Lai says that ClickCastX can now encode a video and run it through the matching process at the same time by using these recognition APIs, automatically tagging it for matching models already on the site, matching objects, such as toys, whips, etc., the number of performers in the video, and more.

“If all of this seems a little Star Trekish it is!” Lai exclaims, noting that the technology allows for robust queries and content surfacing.

For example, a query such as “What videos and time index is model John Smith featured in?” might yield a result such as “John Smith can be seen in the video ‘Bad Girlz,’ at Startime: 2:30 to Endtime: 11:15.”

Other queries could reveal the time indexes when a two girl scene or bedroom scene starts and ends at.

“It’s only the beginning,” Lai concludes, “but the time saving feature this provides our clients, especially those with lots of content, is mind blowing.”

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