Roboflow Inference turns any computer or edge device into a computer-vision command center. It supports self-hosted models, hosted APIs, and composable Workflows for image and video processing pipelines.
Key features
- Workflows: composable blocks for chaining models, filtering and visualization.
- Multi-model & hardware support: integrates pre-trained and foundation models, and supports GPU, Jetson and Raspberry Pi deployments.
- Flexible deployment: local server, Docker, hosted API and enterprise one-click deployments.
Use cases
- Real-time video analytics: camera stream object detection, tracking and alerting.
- Industrial & manufacturing: edge deployments with device management in constrained networks.
- Prototyping to production: move from notebook validation to monitored production systems.
Technical notes
- Implementation: primarily Python, with SDK (inference_sdk), CLI and examples.
- APIs: OpenAPI/REST endpoints for integration with external systems and notification channels.
- CI integration: components can be invoked in CI pipelines for automated testing and monitoring.