Untangle the complexity.
Real-time video moderation has to balance inference accuracy, frame throughput, privacy, and a clear operator experience without turning the pipeline into a monolith.
DeepBleep
A computer-vision engine that anonymizes faces, detects sensitive content, and processes live video through a scalable Python pipeline.
01
DeepBleep explores what high-speed, privacy-aware visual moderation looks like when detection, processing, streaming, and operator feedback work as one system.
Design the system.
A modular FastAPI and OpenCV architecture separates capture, inference, processing, and streaming. Multiple processing modes support privacy workflows and security-focused visual enhancement.
Make it useful.
The result is an extensible foundation for face anonymization, NSFW moderation, threat profiles, offline processing, and live MJPEG monitoring.
Core capabilities
- 01Real-time face and sensitive-content anonymization
- 02Privacy and security processing modes
- 03FastAPI MJPEG streaming endpoint
- 04Configurable, testable inference pipeline
Technology system
- 01Python
- 02FastAPI
- 03OpenCV
- 04MediaPipe
- 05NudeNet
- 06Pytest