Model Ecosystem

The AI Registry.

Don't be locked into proprietary, black-box vendor analytics. With OpenNVR's zero-friction plugin architecture, you can deploy your own Python models or route to community-built weights instantly.

Official Core Models

8 Active

vision

YOLOv8

Low-latency person and object detection on ONNX runtime — CPU and GPU. The default Tier 0 adapter.

Task: object_detection @OpenNVR

vision

ByteTrack

Persistent multi-object track IDs across frames. Runs as a post-processor over an upstream detector.

Task: multi_object_tracking @OpenNVR

vision

InsightFace

Face detection and recognition with 5-point landmarks and a REST-managed face database.

Task: face_recognition @OpenNVR

vision

fast-plate-ocr

License-plate text recognition on a cropped plate. Designed to chain downstream of a detector.

Task: license_plate_recognition @OpenNVR

vision

BLIP

Vision-language scene captioning that runs locally — natural-language descriptions of a camera scene.

Task: scene_description @OpenNVR

audio

Whisper

Speech-to-text transcription via faster-whisper — CPU and GPU.

Task: speech_to_text @OpenNVR

audio

Piper

Fast, local neural text-to-speech for spoken alerts and the camera-agent voice loop.

Task: text_to_speech @OpenNVR

llm

Ollama LLM

Local large language models (Llama, Mistral) for video reasoning, via the bundled reference server.

Task: chat_completion @Ollama

Community Contributions

2 Models

vision

PPE / Hard-Hat Detection

Construction-site safety compliance — a popular community target. Open for contribution.

ppe_compliance @Community

vision

Pose / Fall Detection

Pose-based fall detection for elder care. On the roadmap and open for contribution.

fall_detection @Community

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