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Description
The NVIDIA Synthetic Video Detector is an advanced microservice powered by AI, specifically created to assess whether a video is genuine or generated by artificial intelligence. Its primary focus is on content generated through diffusion models, making it particularly suitable for applications in media authentication, digital forensics, content verification, broadcast processes, and ensuring the integrity of media. The tool evaluates MP4 video inputs and provides a prediction for each individual frame on a continuum from 0 to 1; where values leaning towards 0 suggest authenticity and those nearing 1 indicate synthetic origins. Furthermore, it is engineered to maintain its effectiveness even under typical video compression scenarios, which helps in sustaining reliable detection capabilities after the footage has undergone processing or distribution via standard media channels. Utilizing a Vision Transformer architecture that incorporates an ensemble of DINOv2 and DINOv3 backbones, it adeptly merges visual representations to differentiate between real and artificially created video content. Input frames are resized to 504 x 504 pixels and subjected to normalization prior to the inference process, ensuring optimal performance in the analysis. This sophisticated approach enables a robust assessment of video authenticity, making it a vital tool in the evolving landscape of digital media verification.
Description
SWEAR functions as a security and content-authenticity platform that ensures the verification and protection of audio and video media in real-time from the moment they are captured. It generates a unique "Digital DNA" for each individual frame, pixel, and audio clip during the recording process, with this metadata being securely stored on an independent, immutable blockchain ledger, which facilitates the detection of any future alterations. Users are able to confirm the integrity of footage by comparing its current form against the original authenticated version, providing instant proof of authenticity when needed. The platform is specifically engineered to protect sensitive applications, such as legal evidence, surveillance, public safety, and corporate security, thereby ensuring a reliable chain of custody while preserving the integrity of media whether in transit or storage. SWEAR’s security framework seamlessly integrates with various recording devices and cameras, and it also features a mobile application for added convenience. Additionally, the technology offers comprehensive metadata tracking, which encompasses frame rate, resolution, and even intricate pixel-level details, ensuring robust immutable provenance and security measures throughout the media lifecycle. This multifaceted approach not only enhances trust in media authenticity but also empowers users to confidently utilize the technology across a wide range of critical scenarios.
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
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
NVIDIA
Founded
1993
Country
United States
Website
build.nvidia.com/nvidia/synthetic-video-detector
Vendor Details
Company Name
SWEAR
Country
United States
Website
swear.com
