The FaceCatcher tool has a 96% accuracy rate and can be used in real time. (Photo: Unocero)
The Deep fake They are forms of using artificial intelligence to implement video editions in which identity A person who creates a representation of their own face on another body to create an illusion realism.
This use technology He can be seen in movies, serials and commercials. However, it has also been misused by people who commit counterfeiting videos authorities governments To make the world believe that statements or attitudes have been created that did not actually happen.
The Case of the President’s Alleged Video USAJoe Biden singing during a speech is an example of a use that could be considered funny the audience. However, this technology can be used to trick people, as happened with pornographic videos of actors Hollywood.
In this regard, the tool Software which also uses artificial intellect Discover deep fake cases to expose this harmful practice to the world.
fake catcherAs is known, this technological resource was presented by Intel as a detector Deep fake in real-time, so it can be used to instantly identify what video or content is being manipulated artificial intellect.
“This technology can detect fake videos a accuracy 96% (…) It is the world’s first real-time deep fake detector that returns results in milliseconds,” the company said in a statement. website official.
According to the company’s official announcement, the detection method is based on looking for real signs of blood flow on people’s faces.
This feature is refined in video pixels and has very small changes in skin tone. After processing the image with a system of algorithms, if these signals are detected video will manifest as one real, and the opposite case is classified as false shot.
Within your presentation it is said that fake catcher It can lead to increased trust in the media, and in the case of social networks, it can be a tool Useful for identifying fake videos or videos that are harmful to the public.
Globally, this feature can be used to avoid Diffusion Content that is manipulated or whose content is questionable Authenticity. Non-profit organizations will also have a stake application By democratizing the discovery of these cases for the citizens of this platform.
In turn, companies like it Google Those dedicated to the use of the technology have vetoed the practice of video editing because of the abuse it has been given Internet and the bad image your app currently has at the user level.
The European UnionOn the other hand, he also joined the fight against this type of disinformation content And claimed that social media companies like it purpose i Twitter Has clear dimensions of struggle Deep fake on their platforms.
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