Model ecosystem

The AI registry.

Every model in OpenNVR is an adapter: its own container, behind one open contract, advertising the tasks it serves. An app asks for a task, never for an adapter by name — so a better plate reader is a drop-in, and a model you publish next year works with an app written today.

Everything below runs on your hardware by default. Under the stock local_only policy, an adapter that declares network egress is refused registration.

Ships with OpenNVR

9 adapters · GHCR images
vision

YOLOv8

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

task object_detection
vision

ByteTrack

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

task multi_object_tracking
vision

InsightFace

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

task face_recognition
vision

YOLO Pose

Body keypoints — shoulders, elbows, wrists, hips — so a rule can reason about what a person is doing, not just where they are. CPU-first, ~12 fps on 8 cores at 448px. What Guard Scan Compliance rides.

task pose_estimation
vision

fast-plate-ocr

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

task license_plate_recognition
vision

BLIP

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

task scene_caption
vision

Moondream VLM

Ask a frame a question in plain language — "is the gate open?", "how many bikes?" — and caption scenes. The small vision-language model behind the agent's "what do you see?".

task visual_qa
audio

Whisper

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

task speech_to_text
audio

Piper

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

task text_to_speech

In the repo, not yet in the index

2 experimental

Real adapters with tests and a Dockerfile, without a registry entry — so a stock catalog does not offer them yet. Build from source to try one.

vision

Open-Vocabulary Detection (OWL-ViT)

Detect whatever you can describe — "red truck", "person wearing a backpack". Free-text queries return boxes, for attributes a fixed-class detector can't express. In the adapter repo, not yet in the shipped registry index.

task open_vocab_detection
language

Ollama VLM

Routes visual questions and captions at any vision model you have pulled into a local Ollama. The bring-your-own-weights path for the agent's eyes.

task visual_qa

Open for contribution

2 wanted
vision

PPE / Hard-Hat Detection

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

task ppe_compliance
vision

Pose / Fall Detection

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

task fall_detection

Publish your model

Wrap it with the Apache-2.0 SDK — four names is the whole API for a model that takes an image — and it ships under any licence you choose, proprietary or classified included. A conformance kit checks the contract before anyone else does.

Getting listed is a pull request adding one entry to server/config/adapters_index.yml in the open-nvr repository — the file every deployment's catalog reads, and the one this page is checked against.

Adapter SDK referenceGet an adapter listed