Motion

A quick guide to get started using the SparkFun Thing Plus - NINA-B306. This Thing Plus is loaded with the Arm Cortex-M4 processor in the NINA-B306 along with on-board motion and environmental sensors in the ISM330DHCX 6DoF and BME280 pressure and temperature sensor.

Add low power triple axis motion monitoring to your Qwiic project using the SparkFun Triple Axis Accelerometer Breakout - BMA400 (Qwiic).

Find all your degrees of freedom with this little Qwiic breakout board combining the ISM330DHCX 6Dof and the MMC5983MA Magnetometer!

Let's figure out where we're going with the SparkFun Qwiic Micro Magnetometer - MMC5983MA!

Get started with the Qwiic 6DoF ISM330DHCX Breakout Board!

Make a Qwiic-enabled digital desk sign with a MicroMod SAMD51 Processor Board's USB Host and a USB keyboard!

The BBC micro:bit is a compact, powerful programming tool that requires no software installation. Read on to learn how to use it YOUR way!

A hookup guide for the Qwiic 6DoF (LSM6DSO), which features a 3-axis accelerometer, 3-axis gyroscope, temperature sensor, and FIFO buffer.

Get started measuring acceleration and vibration using the Triple Axis Accelerometer Breakout - KX134 (Qwiic) & KX132 (Qwiic) following this Hookup Guide.

Get started passively monitoring motion using the Panasonic EKMC and EKMB sensors with the SparkFun Qwiic PIR.

Get started with these Panasonic EKM-Series PIR breakouts following this Hookup Guide.

Get started with the Serial LCD with RGB backlight and 9DoF IMU (ICM-20948) via I2C using the Qwiic system and Python on a Raspberry Pi! Take sensor readings and display them in the serial terminal or SerLCD.

Let's get moving with the SparkFun Triple Axis Digital Accelerometer Breakout - ADXL313 (Qwiic), a low cost, low power, up to 13-bit resolution, 3-axis accelerometer with a 32-level FIFO stack capable of measuring up to ±4g. This hookup guide will get users started reading measurements from the ADXL313, by Analog Devices, with an Arduino microcontroller, Jetson Nano, or Raspberry Pi.

The SparkFun ProDriver and Mini Stepper Motor Driver boards utilize Toshiba's TC78H670FTG stepper motor driver. The ProDriver features latch pin terminals, which are easier to connect than the "Easy" Drivers. Meanwhile, the Mini Stepper Motor Driver come in smaller PCB footprint, that is pin compatible with breadboards. To get started, follow this hookup guide and you will be spinning stepper motors, in no time.

How to use and re-program the OpenLog Artemis, an open source datalogger. The OLA comes preprogrammed to automatically log data. The OLA can also record serial data, analog voltages, or readings from external Qwiic-enabled I2C devices. Some of these Qwiic-enabled devices include GPS/GNSS modules, pressure, altitude, humidity, temperature, air quality, environment, distance, and weight sensors.

The pHAT to get your projects moving. This guide will help you get started using the Auto pHAT.

Get started with the moto:bit, a carrier board for the micro:bit that allows you to control motors, and create your own robot using this experiment guide for the micro:bot kit.

Want to get started in robotics? Look no further than the SparkFun autonomous kit for the Sphero RVR! Whether you purchased the Basic or Advanced kit, this tutorial will get you rolling...

Get your Advanced Autonomous Kit for the Sphero RVR built up with this hookup guide!

Get your Basic Autonomous Kit for Sphero RVR all hooked up with this guide!

Get started with the Acconeer A111 SDK with a Raspberry Pi! The tiny A111 pulsed coherent radar (PCR) adds high-precision, cutting-edge distance measurement for speed-, material-, motion-, or gesture-sensing projects! We’re not talking about simple ultrasonic, or even infrared sensors here, but 60GHz radar!

Drive things "qwiic"-ly with the SparkFun Qwiic Motor Driver!

The SparkFun Inventor's Kit (SIK) Experiment Guide contains all of the information needed to build all five projects, encompassing 16 circuits, in the latest version of the kit, v4.1.2 and v4.1.

This hookup guide will get you started with connecting and using the Pi Servo pHAT on a Raspberry Pi.