Within SP, there are 2 different types of blob tracking possible depending on the type of sensor
- Image Based Blob Tracking analyzes data from an image to detect a blob or an object of interest. This could be done with an standard color image or a black and white image like those from an IR camera. SP can then take this image and project onto a plane to extrapolate 3D data from a 2D image.
- Point Cloud Blob Tracking analyzes data from a point cloud source. This can be from a 2D point cloud or a 3D point cloud.
The following table shows which sensor can be used for which type of blob tracking
| Device | Image Based | 2D Point Cloud | 3D Point Cloud | Notes |
|---|---|---|---|---|
| Azure Kinect |  |
 |
|
|
| CommonVisionCamera | |
|
|
different filter are available |
| Galaxy Camera | |
|
|
different filter are available |
| Image Sensor | |
|
|
depends on the connected camera |
| Optitracks | |
|
|
used as a Image Provider to an Image Sensor |
| Real Sense D435 | |
|
|
|
| Hokuyo UST-10LX | |
|
|
|
| Sick LMS | |
|
|
|
| Blickfeld Cube 1 | |
|
|
|
| Ouster | |
|
|
|
| Quanergy | |
|
|