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Description
Intel has developed the FakeCatcher deepfake detection technology, which evaluates the “blood flow” in video pixels to quickly assess the authenticity of a video in mere milliseconds. This system is seamlessly integrated into editing software widely used by content creators and broadcasters, allowing for effective detection of manipulated content during the editing process. Furthermore, it serves a critical role in screening user-generated content, ensuring that authenticity checks are part of the upload process. By providing a universally accessible platform for deepfake detection, it empowers individuals and organizations alike to verify the legitimacy of videos with ease. Deepfakes represent synthetic media that distort reality, presenting actors and actions that are fabricated. While many deep learning-based detection systems examine raw data to identify inconsistencies and flaws, FakeCatcher takes a different approach by searching for genuine indicators of authenticity within real footage, focusing on the minuscule evidence of human traits—such as the subtle variations in pixel color caused by blood circulation. When the heart pumps, the color of our veins shifts, creating the unique data that FakeCatcher utilizes to distinguish between real and manipulated videos. This innovative detection method signifies a significant leap forward in the fight against deepfake technology.
Description
The rise of online disinformation and counterfeit media has become a significant danger to democracy, the economy, and society as a whole. Verifying content on a large scale and in near real-time presents considerable challenges, even for seasoned journalists, fact-checkers, human rights advocates, and scholars specializing in media literacy. To address this issue, the WeVerify initiative seeks to create advanced methods and tools for intelligent human-in-the-loop content verification and disinformation analysis. By analyzing social media and web content within the context of the broader online landscape, the project aims to unveil false information through techniques such as cross-modal content verification, social network analysis, targeted debunking strategies, and a blockchain-based public repository for documenting known fabrications. This multifaceted approach not only enhances the accuracy of information but also empowers individuals and organizations to combat misinformation effectively.
API Access
Has API
API Access
Has API
Integrations
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Integrations
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Pricing Details
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Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Intel
Country
United States
Website
www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl
Vendor Details
Company Name
WeVerify
Website
weverify.eu/about-us/overview/