Forensic Video Intelligence at Scale.
DeepMatch AI deploys state-of-the-art neural architecture to identify, index, and match complex visual patterns with sub-second latency. A clinical approach to video copyright enforcement.
Operational Pipeline
A deterministic, four-stage architecture ensuring absolute data integrity from raw ingest to final analytical match.
Data Ingestion
Multi-platform video intake via yt-dlp + OpenCV. Supports 1000+ platforms, IPTV streams (HLS/RTSP/RTMP/UDP), local files, and direct URLs.
AI Embedding
CLIP ViT-B-32 encodes each frame into a 512-dimensional vector — an immutable digital fingerprint resilient to all transformations.
Vector Indexing
FAISS IndexFlatIP with Cosine Similarity for optimized spatial querying across millions of vectors in milliseconds.
Forensic Matching
Probabilistic nearest neighbor matching yielding confidence-scored forensic intelligence reports with SHA-256 evidence hashing.
> CONFIDENCE: 99.98%
> EVIDENCE_HASH: SHA-256
Experience DeepMatch AI
Enter the original video URL and suspected infringing video URL for AI analysis.