“Where there is a lot of light, there is a lot of shadow.”
(Act One – Jagsthausen. Götzens Burg/Götz)
Shape a secure and enriching future of AI with us
At DeepDetectAI, we believe that an informed society is better prepared for the challenges and opportunities that the future of AI will bring. Join us on this journey to shape a future where technology enriches humanity, and does so in a safe way.
Our motivation
The proliferation of deepfakes poses a serious threat to the integrity of information, the privacy of individuals and the security of communities. Our motivation to establish this initiative is rooted in the urgent need to raise awareness of these threats and develop effective countermeasures.
Our Solution:
DeepDetectAI
DeepDetectAI is an innovative AI-based software specialized in detecting deepfakes in videos, images and audio files. By using advanced machine learning algorithms and image analysis techniques, DeepDetectAI can identify manipulated content by recognizing subtle anomalies and inconsistencies that are often difficult for humans to identify. This capability makes the software a valuable tool in the fight against the spread of disinformation and fake media.
DeepDetectAI uses deep learning, in particular Convolutional Neural Networks (CNNs), to learn from a large amount of real and manipulated sources. These networks are trained to recognize the characteristic features typically associated with deepfakes, such as unnatural skin textures, incorrect eye or mouth movements in videos and inconsistencies in lighting. The software analyzes each image or video by dividing it into several small segments and examining each segment individually to find signs of tampering.
In today’s digital world, deepfakes—fake content created using artificial intelligence (AI)—are gaining increasing significance. This technology is not only used to manipulate videos but also to forge voices and audio data. Traditional methods of deepfake detection often rely on binary classification, where content is classified as either “real” or “fake.” However, this approach falls short as it doesn’t cover the full range of possible manipulations.
DeepDetectAI takes a novel approach to deepfake detection, going far beyond the simple “fake or real” distinction. Our technology identifies and analyzes various types of manipulations, in both visual and audio material. This includes:
- Voice alterations such as pitch shifting, speeding up or slowing down, as well as speech synthesis and voice conversion.
- Audio edits like inserting or removing sound segments, mixing different audio files, or applying filters and compression techniques.
- Visual edits such as morphing, adding or removing image segments, as well as changing colors and lighting to manipulate faces or environments.
Our system is based on cutting-edge machine learning algorithms trained to detect various types of audio and visual alterations. It identifies both obvious and subtle changes in audio and video content that may appear authentic at first glance.
With DeepDetectAI, we not only detect forgeries but also provide a detailed analysis of edits, revealing manipulations before they can cause harm.
