Motion

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 utilizes Toshiba's TC78H670FTG stepper motor driver and with the latch pin connections, this new board is easier to get started with than the "Easy" Drivers. 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 with the built-in ICM-20948 Inertial Measurement Unit (IMU) 9-Degrees-Of-Freedom (9-DOF) sensor. 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 Basic Autonomous Kit for Sphero RVR all hooked up with this guide!

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

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

How to use the SparkFun 9DoF ICM-20948 breakout board for your motion sensing projects. This breakout is ideal for wearable sensors and IoT applications.

Learn how to utilize your DMX to LED Shield in a variety of different ways.

The SparkFun Qwiic Proximity Sensor is a great, qualitative proximity (up to 20 cm) and light sensor. This hookup guide covers a few examples to retrieve basic sensor readings.

Control LEDs based on your movement using an accelerometer! Make your LEDs breathe by fading in and out when laying on the floor, turn off the LEDs when moving to your side, or make the LEDs blink in a headstand!

The TFMini is a ToF (Time of Flight) LiDAR sensor capable of measuring the distance to an object as close as 30 cm and as far as 12 meters! The TFMini allows you to easily integrate LiDAR into applications traditionally reserved for smaller sensors such as the SHARP GP-series infrared rangefinders. With the added Qwiic feature, you can quickly connect to the sensor via I2C!

Figure out how things are oriented with the robust 9 degrees of freedom (DOF) BNO080 IMU. Maybe even make your own virtual reality (VR) applications if you're feeling savvy.

The TFMini is a ToF (Time of Flight) LiDAR sensor capable of measuring the distance to an object as close as 30 cm and as far as 12 meters! The TFMini allows you to integrate LiDAR into applications traditionally reserved for smaller sensors such as the SHARP GP-series infrared rangefinders.

Freescale’s MMA8452Q is a smart, low-power, three-axis, capacitive micro-machined accelerometer with 12-bits of resolution. It’s perfect for any project that needs to sense orientation or motion. We’ve taken that accelerometer and stuck it on a Qwiic-Enabled breakout board to make interfacing with the tiny, QFN package a bit easier.

How much impact can the human body handle? This tutorial will teach you how to build your very own impact force monitor using a helmet, Raspberry Pi Zero, and accelerometer!

See through walls, track objects, monitor breathing patterns, and more using the power of radio frequency with the Walabot! In this tutorial, we will explore Walabot’s features using the Software Demo Kit (SDK) on Windows and the Application Programming Interface (API) on Linux-based distributions for embedded projects.

How to get started with your Qwiic enabled AK9753 Human Presence Sensor.