DeepGuard combines advanced frequency-domain analysis with transformer-based machine learning to identify manipulated videos and images — entirely on-premises, with no third-party APIs.
A multi-layered detection pipeline powered by cutting-edge AI technology
Intelligent frame sampling with face region detection extracts the most relevant visual data from uploaded videos.
FFT-based frequency-domain conversion reveals noise patterns and texture irregularities invisible to the naked eye.
Multi-head attention transformer learns temporal features across frames for accurate real/fake classification.
Frame-level analysis, frequency pattern visualization, confidence scores, and downloadable PDF reports.
All processing happens locally within the system. No data is sent to external APIs or third-party services.
Full admin dashboard for model training, dataset management, user administration, and system monitoring.
Create your free account and start analyzing videos and images today.
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