tmf882x-driver 0.2.0

Python driver for the AMS TMF8820/TMF8821 dToF imager

tmf882x-driver

Easy-to-use python driver for the AMS TMF8820 and TMF8821 ToF sensors

Installation

The package is available on PyPI. Installation is can be done with your favourite package manager. For example:

pip install tmf882x-driver

Usage

In order to initialise the device we need an open SMBus object. Depending on the machine that you are running on you may need to provide another bus number or path:

from smbus2 import SMBus
from tmf882x import TMF882x


with SMBus(1) as bus:
    device = TMF882x(bus=bus)

The address of the TMF882x defaults to 0x41. If your device's address is different, you can provide it like TMF882x(bus=bus, address=0x59).

When powering up, the device is in standby mode. To enable it, call device.enable(), and subsequently put it back in standby using device.standby(). Or better yet, use a context manager:

with device:
    pass  # Here the device is enabled.

Measuring

To make a measurement, do:

with device:
    measurement = device.measure()

This will yield a TMF882xMeasurement, which has (among others) the following fields:

• result_number, an incremental counter for deduplicating results,
• temperature, the device's temperature in degrees C.
• ambient_light, a measure for the ambient light,
• photon_count, the number of photons measured.
• results, a list of SPAD results.

The property measurement.grid will returns a list-of-list of results, representing the actual arrangement of SPADs. Each result has a confidence (the confidence of measurement, 255 is absolutely sure, 0 when no result) and a distance in mm (0 when no result), as well as a secondary_confidence and secondary_distance for a secondary object.

The measurement also has primary_grid and secondary_grid properties which return list-of-list-of-ints of the primary and secondary distances.

For example:

with device:
    print(device.measure().primary_grid)

might yield [[0, 169, 196], [131, 197, 240], [192, 214, 199], [256, 210, 190], [185, 183, 165], [182, 185, 169]].

Configuration

The following configuration options are implemented:

• measurement_period, the measurement period in ms (default = 33)
• kilo_iterations, number of measurement iterations x 1024 (default = 537, representing 549888 iterations)
• confidence_threshold, confidence threshold below which measurements are 0 (default = 6, max = 255).
• spad_map, defining the configuration of SPADs (see below).

To get / set a configuration field, do for example:

with device:
    print(device.measurement_period)
    device.spad_map = 6

SPAD maps

For a full list of pre-programmed SPAD Maps, see page 23 of this document, but a few useful ones are:

• 1: normal 3x3,
• 6: wide 3x3,
• 7: normal 4x4 (TMF8821 only),
• 10: 3x6 (TMF8821 only).

Calibration

The device is supposed to be calibrated before use.

The calibration test shall be done in the final housing with minimal ambient light and no target within 40 cm in field of view of the device. The calibration generates a calibration data set, which should be permanently stored on the host.

The calibration data can be loaded after power-up using the write_calibration method. Note that the calibration data is tied to the spad map. Any change in spad map requires re-calibration (and/or loading of other calibration data).

For example:

with device:
    calibration_data = device.calibrate()

And to restore:

with device:
    device.write_calibration(calibration_data)

After a measurement, you can check the calibration_ok property to see whether calibration was successful.

References

See the datasheet and the communication note for more details.