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Description
DeepDetector is an advanced deep learning network specifically engineered to identify faces that have been generated or altered by AI. Functioning as an artificial neural network, it is adept at uncovering both forgeries and traces left by computer-generated images. This innovative tool plays a vital role in identity verification and fraud prevention. With its exceptional ability to detect AI-generated content, DeepDetector stands as a crucial ally in combating deepfakes. By incorporating biometric systems, it guarantees the authenticity of documents and protects user identity integrity, thereby facilitating Know Your Customer (KYC) processes. Users can achieve rapid and dependable identification of deepfake content in real-time, boasting an impressive accuracy rate of up to 99% and an analysis time of merely one second. Additionally, our versatile API integration allows for smooth customization, enabling the seamless incorporation of our deepfake detection capabilities into your current identity verification frameworks, ensuring you stay ahead in the fight against digital deception. As the landscape of digital content evolves, having such a proactive defense mechanism becomes increasingly essential.
Description
An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of 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
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
DuckDuckGoose
Country
Netherlands
Website
www.duckduckgoose.ai/detector
Vendor Details
Company Name
UB Media Forensics Lab
Founded
2020
Country
United States
Website
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/