Difference between revisions of "SpecialBoards"
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== SD cards included == | == SD cards included == | ||
| − | For real time data collection. The data are stored on the SD card and can later be retrieved and analyzed, for instance using Processing. | + | For fast real time data collection. The data are stored on the SD card and can later be retrieved and analyzed, for instance using Processing. |
Boards with SD-card: | Boards with SD-card: | ||
Revision as of 02:36, 2 February 2020
A wave of specialized micro controller boards
For a project with interactive kites: https://airlaboart.wordpress.com, I bought and investigated a lot of boards with special characteristics.
All the different categories below require quite a bit of time to get used to and to get it working.
Sometimes you have to write in another programing language, like Micropython
Sometimes you have to install a new tool chain, using the terminal window.
A few links showing this tool chain pain:
https://airlaboart.wordpress.com/2019/07/04/further-intelligence/
https://airlaboart.wordpress.com/2019/07/07/and-the-third-toolchain-maix-dock/
After this project I investigated also the
BBC Microbit (22,95) https://www.floris.cc/shop/en/home/1848-microbit-go-bundel-microbit.html
Adafruit circuit playground express (29,95) https://www.adafruit.com/product/3333
SD cards included
For fast real time data collection. The data are stored on the SD card and can later be retrieved and analyzed, for instance using Processing.
Boards with SD-card:
- Sparkfun Razor Razor
IMU sensors incorporated – https://learn.sparkfun.com/tutorials/9dof-razor-imu-m0-hookup-guide/all#libraries-and-example-firmware
- Adafruit feather M0 adalogger (22,93 euro) https://learn.adafruit.com/adafruit-feather-m0-adalogger/
- Teensy 3.6 https://www.pjrc.com/store/teensy36.html
If the SD card is not on the board you can use this device:
Acceleration included
A lot of boards have acceleration sensors included.
These sensors come into a few variaties.
- 3 axes, acceleration x,y,z
- 6 axes, acceleration x,y,z, gyro x,y,z
- 9 axes, acceleration x,y,z, gyro x,y,z, compass x,y,z
- 10 axis, acceleration x,y,z, gyro x,y,z, compass x,y,z and ....
Only the
You could think that integrating the acceleration would make it possible to keep track of the sensor and calculate the position after a certain time. The formulas from physics suggest this: just integrating over time. The problem is that the errors are building up.
Camera included
The bigger boards now have cameras included:
OpenMV7 (75 euro) https://www.antratek.nl/openmv-h7-camera, https://openmv.io
Maix Dock one (30,95) https://www.antratek.nl/sipeed-m1w-ai-dev-board-with-lcd-and-camera
AI included
Speech recognition:
Sparkfun Edge (18,09) https://www.antratek.nl/edge-development-board-apollo3-blue
Gesture recognition:
Intel Curie Tiny Tile
Slow and Fast Sensors
Some data have to be tracked fast, like acceleration, gyro, compass, others can be sampled at a lower rate, like temperature, pollution, air pressure.
This means that different sets of sensors can be grouped together.
BLE included
The BBC Microbit has BLE and the microbit can communicate amongst themselves quite easily.
(I saw that the Adafruit circuit Express now also has BLE).
Summery of the boards
- Teensy 3.6, https://www.pjrc.com/teensy/pinout.html
manual: https://www.pjrc.com/teensy/K66P144M180SF5RMV2.pdf
SD card: https://forum.pjrc.com/threads/55114-SD-Datalogging-Best-Practice-in-2019
IMU library: NXPMotionSense
- Intel Curie Tiny Tile