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DeepDetector is an advanced deep learning network that has been specifically developed to identify and acknowledge manipulated faces in both images and videos, including deepfakes. By analyzing a vast number of real and deepfake images, this artificial neural network is capable of distinguishing between authentic images and computer-generated forgeries. It achieves this by extracting visible faces from the input and thoroughly analyzing them to detect any traces of deepfakes. The accuracy rate of this detection process is approximately 93%. The analysis not only provides the probability of the input being a deepfake but also includes an Activation Map, which offers an explanation behind the software's decision by providing evidence for the classification.

In addition to identifying FaceSwaps and other AI-manipulations, DeepDetector can also analyze the characteristics of AI-generated content to detect synthetic media and AI-generated deepfakes. The tool also offers cloud-based access to customizable APIs, allowing users to seamlessly integrate DeepDetector into their workflows. This ensures data protection and privacy, as the tool complies with European laws and regulations regarding data protection, privacy, and responsible AI.

DeepDetector has a wide range of applications, including compliance purposes such as KYC, video conferencing, journalism, and penetration testing. The tool is designed to provide accurate and explainable results, with the ability to detect over 10 different types of deepfakes and an image analysis time of just 1 second. In summary, DeepDetector is a highly reliable and powerful tool for effectively detecting deepfakes and other AI-manipulations in both images and videos.