EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention

Next-gen video platform.

HLS Stream Analyzer – A passive, security-focused tool to analyze and reconstruct HLS media streams, helping researchers identify exposed segments, misconfigurations, and potential risks in streaming infrastructure.

fractalVideoGuard

aI-powered multimedia forensic analysis system for detecting CCTV tampering, deepfakes, and metadata manipulation.

Frequency-aware deepfake detection under lossy H.264 compression using XceptionNet, DCT features, learnable frequency masking, and cross-attention fusion.

Cryptographic proof of video authenticity. Verify video origin and integrity using perceptual hashing and digital signatures to combat manipulated media.

SaksiAI is an enterprise-grade Evidence Intelligence Platform (EIP) specifically designed for the Indonesian market. It addresses the Hidden Data Problem where critical organizational knowledge is trapped in unusable, fragmented formats such as scanned PDFs, voice recordings, and CCTV feeds.

A low-latency deepfake video detection pipeline utilizing frequency-domain analysis (FFT) and a fine-tuned ResNet50 for rapid forensic triage.

Deepfake video detection using MobileNet and MesoNet CNNs with LSTM for temporal feature analysis across FaceForensics++, Celeb-DF, and DFDC datasets.

Official documentation and technical guides for VideoJIN Deepfake Detection API & Media Forensics.

Deep learning-based deepfake video detection using CNN spatial feature extraction and temporal consistency analysis.

Full-stack deepfake video detection system — EfficientNetV2-B3 + Temporal Attention BiLSTM | 99.54% AUC on Celeb-DF | React frontend + FastAPI backend