How does the 3D visualization connect to my scene and telemetry data? - johnnyw-aws/aws-iot-twinmaker-samples GitHub Wiki
3D visualization in AWS IoT TwinMaker is defined through the AWS IoT TwinMaker Scene file. This is a JSON document that specifies the various 3D assets in the scene. For details on how to create Scenes in AWS IoT TwinMaker, check out our documentation 1(https://docs.aws.amazon.com/iot-twinmaker/latest/guide/scenes.html). After deploying the sample you can also view/edit the scene in the AWS IoT TwinMaker console.
In particular, the sample scene in this demo uses:
- 3D model assets (GLB) uploaded to the workspace resouce library 1(https://docs.aws.amazon.com/iot-twinmaker/latest/guide/scenes-using-resource-library.html) 2(https://docs.aws.amazon.com/iot-twinmaker/latest/guide/scenes-editing-add-models.html)
- Annotations to overlay real-time telemetry data into the scene 1(https://docs.aws.amazon.com/iot-twinmaker/latest/guide/scenes-ee.html#scenes-ee-annotations)
- Mesh shader widgets to highlight parts of the cookieline in red/yellow based on latest alarm status 1(https://docs.aws.amazon.com/iot-twinmaker/latest/guide/scenes-editing-add-color-widget.html)
- Scene tags to use as custom focal/interaction points in the scene 1(https://docs.aws.amazon.com/iot-twinmaker/latest/guide/scenes-editing-add-tags.html)