Azure Kinect Viewer

A developer-focused viewer for Azure Kinect streams that helps engineers inspect depth, color, and body tracking data in real time.

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About This Tool

Azure Kinect Viewer ingests live or recorded Azure Kinect streams and renders synchronized frames with overlays for depth, color, infrared, and skeleton data. It enables engineers to validate calibration, streaming alignment, and timing without external tooling. Conceptually, the tool forms a data path from the Kinect SDK to a visualization layer, applying calibration-based coordinate mapping and rendering per-frame information. It is particularly valuable for robotics, computer vision research, and industrial automation teams that need rapid feedback during integration, testing, and performance profiling. Unique value lies in real-time skeleton overlays, robust bag-file playback, and explicit depth-to-color alignment diagnostics. Core features include multi-stream rendering, ROI controls, and data export for offline analysis. Typical use cases encompass device setup, regression checks after firmware changes, and troubleshooting sensor pipelines in lab or field environments.

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How to Use

Provide inputs: connect Azure Kinect device or load bag file via the inputs panel.
Configure streams and calibration: select depth, color, infrared, and body tracking; set ROI and playback speed for bag files.
Run visualization: start the live view or playback mode to render frames and overlays.
Analyze outputs: monitor frame timing, skeleton overlays, and alignment diagnostics to identify discrepancies.
Export data: save selected metrics or logs for offline analysis or sharing with teammates.

Frequently Asked Questions

Find Quick Answers

What data formats are supported?

The tool supports live streams via the Azure Kinect SDK and offline bag-file playback. Exports include JSON or CSV for metrics and skeleton data, enabling integration with downstream analytics pipelines.

Can it run offline with bag files?

Yes. Bag-file playback mirrors live streams with preserved timing where calibration data is available. Playback supports speed adjustment and frame-accurate overlay rendering for validation and debugging.

Is it cross-platform?

The viewer runs in modern desktop environments with the necessary Kinect SDK support. It can be packaged as a desktop app (e.g., Electron) or run via a compatible browser setup that supports the required WebAssembly modules and GPU acceleration.

What are the minimum hardware requirements?

A supported Azure Kinect device or valid bag source, USB 3.x interface, and at least 4 GB RAM. For real-time rendering and skeleton overlays, a GPU with modest acceleration improves performance.

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