Intel's FakeCatcher is trending in news to detect deepfake content in videos with 96% accuracy 

Intel has been and continues to be, a presiding force in the computer industry. However, in past few years, the corporation has expanded beyond semiconductors, powering its resources to address new challenges and Intel's FakeCatcher is the best example of it. Presently Intel has been in the headlines with its new innovative development of FakeCatcher for deepfake problem 

The company claims that it has developed a detector that can identify deepfake content in videos with a claimed 96% accuracy. The company claims that Intel's deepfake solution, FakeCatcher, is the first of its kind to recognize deepfakes in real time. The firm has used its hardware and software prowess to design Intel's FakeCatcher, in partnership with State university researchers. FakeCatcher was designed by Intel's senior staff research scientist Ilke Demir and New York State University's Umur Ciftci. Intel provides the server hardware and software powering FakeCatcher which successfully detects deepfake problems. Intel's FakeCatcher has a web-based user interface that users may use to access the application's data. "Deepfake movies can be seen just about anywhere these days. You've undoubtedly seen these already," writes scientist Ilke Demir in this piece. "Videos of celebrities claiming to have done or said something they never did."

Intel says that FakeCatcher is different from every other deepfake detector in the market. This claim is tall and it explains that the technology used to detect the videos helps the company deliver 96 percent accuracy, the closest anyone has ever come to giving the ideal match. FakeCatcher runs on a server that Intel has built using its hardware and software. The application provides data through a web-based interface. The term "deep fake" refers to material in which the visual depiction of a person is not matching from the person really speaking. Think of it like a virtual plastic surgery done which is not identifiable to the layman. As per Intel's claim, FakeCatcher stands apart from competing for deepfake detectors. This bold assertion is backed up by details on how Intel's FakeCatcher, a video detection technology allows providing the closest possible match to date and claims an accuracy of 96 percent.

The company says Intel's FakeCatcher for deepfake problem functions by analyzing the blood flow in the video pixels. Photoplethysmography (PPG) is a technique that helps FakeCatcher to detect deepfake problems. Intel's new technology uses PPG to evaluate the quantity of light reflected by biological matter. For the time being, the PPG will function properly if the person in the video is real, but it will sound an alarm if the person is a deepfake. The business also claims that FakeCatcher can readily recognize the person or the platform when the vein color changes as the heart pumps blood.

The firm thinks that it has found a solution using a feature that nobody has thought to use till now. The company's main aim is to have its technology implemented by social media sites in order to recognize false posts and have them removed prior to widespread distribution. Because of how hard it is to spot a deepfake, businesses are putting millions on technology that may or may not be effective. We can only hope that Intel's novel approach will be put to good use in the near future.

Intel has been and continues to be, a presiding force in the computer industry. However, in past few years, the corporation has expanded beyond semiconductors, powering its resources to address new challenges and Intel's FakeCatcher is the best example of it. Presently Intel has been in the headlines with its new innovative development of FakeCatcher for deepfake problem 

The company claims that it has developed a detector that can identify deepfake content in videos with a claimed 96% accuracy. The company claims that Intel's deepfake solution, FakeCatcher, is the first of its kind to recognize deepfakes in real time. The firm has used its hardware and software prowess to design Intel's FakeCatcher, in partnership with State university researchers. FakeCatcher was designed by Intel's senior staff research scientist Ilke Demir and New York State University's Umur Ciftci. Intel provides the server hardware and software powering FakeCatcher which successfully detects deepfake problems. Intel's FakeCatcher has a web-based user interface that users may use to access the application's data. "Deepfake movies can be seen just about anywhere these days. You've undoubtedly seen these already," writes scientist Ilke Demir in this piece. "Videos of celebrities claiming to have done or said something they never did."

Intel says that FakeCatcher is different from every other deepfake detector in the market. This claim is tall and it explains that the technology used to detect the videos helps the company deliver 96 percent accuracy, the closest anyone has ever come to giving the ideal match. FakeCatcher runs on a server that Intel has built using its hardware and software. The application provides data through a web-based interface. The term "deep fake" refers to material in which the visual depiction of a person is not matching from the person really speaking. Think of it like a virtual plastic surgery done which is not identifiable to the layman. As per Intel's claim, FakeCatcher stands apart from competing for deepfake detectors. This bold assertion is backed up by details on how Intel's FakeCatcher, a video detection technology allows providing the closest possible match to date and claims an accuracy of 96 percent.

The company says Intel's FakeCatcher for deepfake problem functions by analyzing the blood flow in the video pixels. Photoplethysmography (PPG) is a technique that helps FakeCatcher to detect deepfake problems. Intel's new technology uses PPG to evaluate the quantity of light reflected by biological matter. For the time being, the PPG will function properly if the person in the video is real, but it will sound an alarm if the person is a deepfake. The business also claims that FakeCatcher can readily recognize the person or the platform when the vein color changes as the heart pumps blood.

The firm thinks that it has found a solution using a feature that nobody has thought to use till now. The company's main aim is to have its technology implemented by social media sites in order to recognize false posts and have them removed prior to widespread distribution. Because of how hard it is to spot a deepfake, businesses are putting millions on technology that may or may not be effective. We can only hope that Intel's novel approach will be put to good use in the near future.