The SparkFun DataLogger IoT - 9DoF is a data logger that comes preprogrammed to automatically log IMU, GPS, and various pressure, humidity, and distance sensors. All without writing a single line of code! The DataLogger automatically detects, configures, and logs Qwiic sensors. It was specifically designed for users who just need to capture a lot of data to a CSV or JSON file and get back to their larger project. Save the data to a microSD card or send it wirelessly to your preferred Internet of Things (IoT) service!
Included on every DataLogger IoT is an IMU for built-in logging of a triple-axis accelerometer, gyro, and magnetometer. Whereas the original 9DOF Razor used the old MPU-9250, the DataLogger IoT uses the ISM330DHCX from STMicroelectronics and MMC5983MA from MEMSIC. Simply power up the DataLogger IoT, configure the board to record readings from supported devices, and begin logging! Data can be time-stamped when the time is synced to NTP, GNSS, or RTC.
The DataLogger IoT is highly configurable over an easy-to-use serial interface. Simply plug in a USB-C cable and open a serial terminal at 115200 baud. The logging output is automatically streamed to both the terminal and the microSD card. Pressing any key in the terminal window will open the configuration menu.
The DataLogger IoT - 9DoF automatically scans, detects, configures, and logs various Qwiic sensors plugged into the board (No soldering! No programming!). Currently, auto-detection is supported on the following Qwiic products (with the exception of the ISM330DHCX and MMC5983 which is built-in on the SPI port):
Low-power logging is supported. The DataLogger IoT can be configured to take readings at about 26 times a second with the default sensors turned on, or as slow as 1 reading every 24 hours. You choose! The DataLogger IoT has built-in LiPo charging set at 500mA/hr. When sleep mode is enabled, the resulting sleep current is approximately 200µA.
With a 2.4GHz WiFi connection, you can also send data to the cloud! The following IoT services are supported:
New features are constantly being added so we've developed two methods of updating the firmware on your DataLogger IoT! If you have a microSD card, you can download the firmware binary to the memory card and update the board through the configuration menu. If you have a WiFi connection, you can also update the firmware over the air using the configuration menu! No need to install Arduino or a bunch of libraries.
The SparkFun Qwiic Connect System is an ecosystem of I2C sensors, actuators, shields and cables that make prototyping faster and less prone to error. All Qwiic-enabled boards use a common 1mm pitch, 4-pin JST connector. This reduces the amount of required PCB space, and polarized connections mean you can’t hook it up wrong.
If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.
Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
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Based on 4 ratings:
1 of 1 found this helpful:
Very easy to connect and use. I have the QWIIC A/D devices connected and am very pleased. The menus are easy to understand and navigate. I communicate with the IoT device using a Mac.
1 of 2 found this helpful:
Great little device to easily record sensor data and send it over WIFI.
Initial impressions https://shusson.info/post/setting-up-sparkfuns-iot-datalogger.
Using Arduino IDE 2.1.0, Windows 11 ... whether the DataLogger, Arduino, Windows 11 or my computer; I could not connect with even marginal constancy to the DataLogger. Every once in awhile it would stay connected and I manage to set the year and date once. Otherwise ... fail. I've used another version of the datalogger and while connection wasn't totally consistent, at least it worked much of the time. This one was a total bust. I'll try it on another computer but I doubt it will improve.
Easy to get started collecting data. Doesn't allow access to the SD card via USB-C port or WiFi so not as useful as I would like for periodically retrieving data from a stand-alone embedded system without physically removing the SD card. Bluetooth is not implemented at this time. Overall easy to get started with and has a wide variety of sensors that it reads directly.