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What is IDLive Face Plus?
IDLive Face Plus significantly enhances the original IDLive Face by incorporating advanced detection of injection attacks, in addition to its existing presentation attack detection capabilities, thereby providing exceptional security against deepfakes and other misleading digital visuals. This innovative solution proficiently identifies injection attacks that leverage both virtual and real cameras, ensuring protection against unauthorized alterations in browser JavaScript on both desktop and mobile devices. It also effectively blocks man-in-the-middle replay attacks and combats the use of emulators, cloning applications, and other deceptive software. The system markedly improves the efficacy of presentation attack detection, which is essential for facial recognition systems to verify that a biometric selfie is indeed a live capture rather than a deceptive replica, such as a printed image, a video replay, or a 3D mask. By seamlessly integrating award-winning presentation attack detection techniques with a unique methodology for injection attack detection, IDLive Face Plus delivers an all-encompassing defense against deepfakes and various forms of digital manipulation, positioning it as an indispensable asset in the modern security framework. As the landscape of digital threats continues to evolve, the importance of employing cutting-edge detection strategies becomes more pronounced than ever. This makes IDLive Face Plus not only a technological advancement but also a critical component in safeguarding digital identities.
What is FakeCatcher?
Intel has introduced the innovative FakeCatcher technology for deepfake detection, which analyzes the "blood flow" within video pixels to swiftly determine the authenticity of videos in just milliseconds. This cutting-edge system is integrated into popular editing software that content creators and broadcasters regularly use, facilitating the identification of altered content during the editing phase. Additionally, it plays a vital role in vetting user-generated content, ensuring that authenticity verification is an integral part of the upload process. By making deepfake detection universally accessible, it empowers both individuals and organizations to effortlessly confirm the legitimacy of videos. Deepfakes, which constitute synthetic media that misrepresent reality by fabricating actors and actions, pose a significant challenge in today’s digital landscape. While numerous deep learning detection systems focus on analyzing raw data for inconsistencies, FakeCatcher adopts a unique method by identifying genuine markers of authenticity in real footage, emphasizing the subtle evidence of human characteristics, like the slight changes in pixel color due to blood flow. As the heart pumps, the color of our veins changes, generating the distinct data that FakeCatcher leverages to differentiate between authentic and doctored videos. This groundbreaking detection technology marks a substantial advancement in the ongoing battle against the misuse of deepfake technology, providing a beacon of hope in preserving the integrity of visual media. As the prevalence of deepfakes continues to rise, the implementation of such innovative solutions will be essential in safeguarding truth in digital content.
Integrations Supported
Docker
IDLive Face
JavaScript
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
ID R&D
Company Location
United States
Company Website
www.idrnd.ai/idlive-face-plus-injection-attack-detection-deepfake-protection/
Company Facts
Organization Name
Intel
Company Location
United States
Company Website
www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl