Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Content Credentials offer enhanced clarity regarding the processes behind the creation or modification of digital content. Frequently, crucial details about online material are either elusive or misleading. This innovative tool uncovers valuable insights that are typically obscured and introduces a straightforward technology that provides answers to your inquiries about content with ease. By making the provenance and evolution of digital material accessible to all, Content Credentials empower users to evaluate the reliability of the information they encounter, fully grasping its nature and the extent of any alterations it may have undergone. In the digital landscape, content is often attributed incorrectly or not acknowledged at all, leading to numerous missed chances for creators to receive credit. Our platform not only helps creators gain recognition for their contributions but also supports them in marketing their work and cultivating a dedicated audience, thus enriching the creative ecosystem. Ultimately, the implementation of Content Credentials fosters a more trustworthy and equitable environment for all digital creators.
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.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Content Credentials
Country
United States
Website
contentcredentials.org
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