FAQs for the Tau Camera
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What is the depth resolution? As in the minimum differential distance between two levels
The Tau Camera's theoretical differential depth level is on the millimeter level. However, the effective differential depth is on the centimeter level depending on the level of noise.
To get down to the millimeter level of granularity an effective noise suppression algorithm must be used.
To be more specific, the depth accuracy is within +/-2% of the measuring distance. The closer camera is to the object, the lower the error will be. For the range of 100mm to 2000mm, the depth accuracy would be under +/-20mm.
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What's the best way to mount the Tau Camera?
Use the 4 mounting holes to secure your Tau Camera to a mount or enclosure.
If you're in need of a quick solution, we've published a design for a 3D printed mount.
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What is the operating temperature range for the Tau Camera?
All of the components used in the Tau LiDAR Camera are rated for -40° to 85°C
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What does purple represent in the 2D depth map?
This means the data point is "saturated." That is, the illumination from the Tau's IR light source that's reflected off the object is too strong to calculate a depth for that point.
If you're using Tau Studio, you'll notice the point cloud struggles to correctly handle these points since they have indeterminate depth.
To reduce the saturation, try reducing the 3D integration time. This is the same principle as reducing exposure time on a regular camera - it will reduce how much reflected light the Tau captures for depth measurements, hopefully bringing it into a usable range.
When the integration time is reduced, you'll immediately see more detail in the Grayscale and Amplitude frames coming from the camera.
There is a trade-off though: with a reduced integration time, there will be worse detection of far away objects and objects that reflect light poorly.
If reducing integration time doesn't help significantly, the object may just be too close. Or perhaps too close for how reflective it is, you'll have different results with more and less reflective objects. In both cases, try moving it farther from the camera.
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Why do different coloured objects show up better/worse in the depth map?
Different colours (even on the same material) will affect how well an object is detected because of reflectivity.
(If you're unclear on how LiDAR and Time-of-Flight devices work, we suggest reading our short explainer on the subject)Different coloured objects will absorb and reflect the IR light from the Tau differently, resulting in better or worse depth detection. Dark coloured objects and low reflectivity objects (grass, leather) will be harder to detect.
(There's no escaping from physics
)For better detection of these objects, try increasing the 3D integration time as much as possible.
The trade-off is that reflective or very close objects will be saturated.
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What is Tau's light source and what are the specs?
The light source is made up of 3 near-infrared LEDs. The wavelength of the light centres around 850nm.
This is the emission spectrum of the LEDs:
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Can I use multiple Tau Cameras at the same time?
Yes! Even if the fields of view overlap, there should be minimal interference.
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Do I need internet to use the Tau Camera?
The camera works without internet!
You only need internet to install Tau Studio and the API.
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What the the specs of the Tau Camera?
- Depth technology: LiDAR Time of Flight
- Depth stream output resolution: 160 x 60
- Depth stream output frame rate: 30 fps
- Minimum depth distance: 0.1 meters
- Maximum range: 4.5 meters
- Depth field of view (FOV): 81˚ x 30°
- Connector: USB Type-C
- Dimensions: 90 x 41 x 20 mm
- Mount: 4x M3 mounting holes
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I've run into issues when using the Tau Camera, where can I get help?
Start by going over our Troubleshooting Guide. It covers common errors and issues.
If you can't find a solution for your problem there, post on the Onion Community Forum and we'll do our best to help out.
To make it easier to get help, try running the
checkCamera.pyExample Python Program and posting the command line output and screenshots of the output if you think it will be helpful.
