The Pico-10DOF-IMU is an IMU sensor expansion module specialized for Raspberry Pi Pico. It incorporates sensors including gyroscope, accelerometer, magnetometer, baroceptor, and uses I²C bus for communication. Combined with the Raspberry Pi Pico, it can be used to collect environment sensing data like temperature and barometric pressure, or to easily DIY a robot that detects motion gesture and orientation. Features Standard Raspberry Pi Pico header, supports Raspberry Pi Pico series Onboard ICM20948 (3-axis gyroscope, 3-axis accelerometer, and 3-axis magnetometer) for detecting motion gesture, orientation, and magnetic field Onboard LPS22HB barometric pressure sensor, for sensing the atmospheric pressure of the environment Comes with development resources and manual (Raspberry Pi Pico C/C++ and MicroPython examples) Specifications Operating voltage 5 V Accelerometer Resolution: 16-bitMeasuring range (configurable): ±2, ±4, ±8, ±16gOperating current: 68.9uA Gyroscope Resolution: 16-bitMeasuring range (configurable): ±250, ±500, ±1000, ±2000°/secOperating current: 1.23mA Magnetometer Resolution: 16-bitMeasuring range: ±4900µTOperating current: 90uA Baroceptor Measuring range: 260 ~ 1260hPaMeasuring accuracy (ordinary temperature): ±0.025hPaMeasuring speed: 1Hz - 75Hz
M5Stamp Fly is a programmable open-source quadcopter, featuring the StampS3 as the main controller. It integrates a BMI270 6-axis gyroscope and a BMM150 3-axis magnetometer for attitude and direction detection. The BMP280 barometric pressure sensor and two VL53L3 distance sensors enable precise altitude hold and obstacle avoidance. The PMW3901MB-TXQT optical flow sensor provides displacement detection.
The kit includes a buzzer, a reset button, and WS2812 RGB LEDs for interaction and status indication. It is equipped with a 300 mAh high-voltage battery and four high-speed coreless motors. The PCB features an INA3221AIRGVR for real-time current/voltage monitoring and has two Grove connectors for additional sensors and peripherals.
Preloaded with debugging firmware, the Stamp Fly can be controlled using an Atom Joystick via the ESP-NOW protocol. Users can choose between automatic and manual modes, allowing for easy implementation of functions like precise hovering and flips. The firmware source code is open-source, making the product suitable for education, research, and various drone development projects.
Applications
Education
Research
Drone development
DIY projects
Features
M5StampS3 as the main controller
BMP280 for barometric pressure detection
VL53L3 distance sensors for altitude hold and obstacle avoidance
6-axis attitude sensor
3-axis magnetometer for direction detection
Optical flow detection for hovering and displacement detection
Buzzer
300 mAh high-voltage battery
Current and voltage detection
Grove connector expansion
Specifications
M5StampS3
ESP32-S3@Xtensa LX7, 8 MB Flash, WiFi, OTG\CDC support
Motor
716-17600kv
Distance Sensor
VL53L3CXV0DH/1 (0x52) @ max 3 m
Optical Flow Sensor
PMW3901MB-TXQT
Barometric Sensor
BMP280 (0x76) @ 300-1100hPa
3-axis Magnetometer
BMM150 (0x10)
6-axis IMU Sensor
BMI270
Grove
I²C+UART
Battery
300mAh 1S high-voltage lithium battery
Current/Voltage Detection
INA3221AIRGVR (0x40)
Buzzer
Built-in Passive Buzzer @ 5020
Operating temperature
0-40°C
Dimensions
81.5 x 81.5 x 31 mm
Weight
36.8 g
Included
1x Stamp Fly
1x 300 mAh high-voltage Lithium battery
Downloads
Documentation
Elektor GREEN and GOLD members can download their digital edition here.
Not a member yet? Click here.
PbMonitor v1.0A Battery-Monitoring System for UPS and Energy Storage Applications
Solar Charge Controller with MPPT (1)Basic Principles of a Solar Controller for Stand-Alone Systems
B-Field Integration Magnetometer With Home-Made Sensors
Precise or Accurate?Your Instruments Need to Be Both!
AD7124 A Precision ADC in PracticeFeatures for Sensor Signal Conditioning
PID Control ToolOptimize Your Parameters Easily
embedded world 2025
Starting Out in Electronics……Continues with Tone Control
Academy Pro BoxBook + Online Course + Hardware
Milliohmmeter AdapterUses the Precision of Your Multimeter
The Next Leap in SemiconductorsOnward Toward 1.4 nm
Through-Hole Technology ConnectorsThe Best of Two Worlds: THR
Frequency CounterPortable and Auto-Calibrating Via GPS
Analog MetersPeculiar Parts, the Series
Stand-Alone Crystal TesterHow Accurate Is Your Clock Source?
Low-Cost I²C TesterConnect I²C Devices Directly to Your PC
From Life’s ExperienceWho Doesn’t Honor the Small Things?
2025: An AI OdysseyThe Transformative Impact on Software Development
Err-lectronicsCorrections, Updates, and Readers’ Letters
Raspberry Pi Standalone MIDI Synthesizer (2)Enhancing Our Setup with Intelligence
Nortonized Wien Bridge OscillatorSmall Changes Yield Significant Improvements
Putting a $0.10 Controller to the TestThe CH32V003 RISC-V Microcontroller and MounRiver Studio in Practice
An FPGA-Based Audio Player with Equalizer (2)Adding Volume Control, Advanced Mixing, and a Web Interface
Ready to explore the world around you? By attaching the Sense HAT to your Raspberry Pi, you can quickly and easily develop a variety of creative applications, useful experiments, and exciting games.
The Sense HAT contains several helpful environmental sensors: temperature, humidity, pressure, accelerometer, magnetometer, and gyroscope. Additionally, an 8x8 LED matrix is provided with RGB LEDs, which can be used to display multi-color scrolling or fixed information, such as the sensor data. Use the small onboard joystick for games or applications that require user input. In Innovate with Sense HAT for Raspberry Pi, Dr. Dogan Ibrahim explains how to use the Sense HAT in Raspberry Pi Zero W-based projects. Using simple terms, he details how to incorporate the Sense HAT board in interesting visual and sensor-based projects. You can complete all the projects with other Raspberry Pi models without any modifications.
Exploring with Sense HAT for Raspberry Pi includes projects featuring external hardware components in addition to the Sense HAT board. You will learn to connect the Sense HAT board to the Raspberry Pi using jumper wires so that some of the GPIO ports are free to be interfaced to external components, such as to buzzers, relays, LEDs, LCDs, motors, and other sensors.
The book includes full program listings and detailed project descriptions. Complete circuit diagrams of the projects using external components are given where necessary. All the projects were developed using the latest version of the Python 3 programming language. You can easily download projects from the book’s web page. Let’s start exploring with Sense HAT.
Elektor GREEN and GOLD members can download their digital edition here.
Not a member yet? Click here.
PbMonitor v1.0A Battery-Monitoring System for UPS and Energy Storage Applications
Solar Charge Controller with MPPT (1)Basic Principles of a Solar Controller for Stand-Alone Systems
B-Field Integration Magnetometer With Home-Made Sensors
Precise or Accurate?Your Instruments Need to Be Both!
AD7124 A Precision ADC in PracticeFeatures for Sensor Signal Conditioning
PID Control ToolOptimize Your Parameters Easily
embedded world 2025
Starting Out in Electronics……Continues with Tone Control
Academy Pro BoxBook + Online Course + Hardware
Milliohmmeter AdapterUses the Precision of Your Multimeter
The Next Leap in SemiconductorsOnward Toward 1.4 nm
Through-Hole Technology ConnectorsThe Best of Two Worlds: THR
Frequency CounterPortable and Auto-Calibrating Via GPS
Analog MetersPeculiar Parts, the Series
Stand-Alone Crystal TesterHow Accurate Is Your Clock Source?
Low-Cost I²C TesterConnect I²C Devices Directly to Your PC
From Life’s ExperienceWho Doesn’t Honor the Small Things?
2025: An AI OdysseyThe Transformative Impact on Software Development
Err-lectronicsCorrections, Updates, and Readers’ Letters
Raspberry Pi Standalone MIDI Synthesizer (2)Enhancing Our Setup with Intelligence
Nortonized Wien Bridge OscillatorSmall Changes Yield Significant Improvements
Putting a $0.10 Controller to the TestThe CH32V003 RISC-V Microcontroller and MounRiver Studio in Practice
An FPGA-Based Audio Player with Equalizer (2)Adding Volume Control, Advanced Mixing, and a Web Interface
Ready to explore the world around you? By attaching the Sense HAT to your Raspberry Pi, you can quickly and easily develop a variety of creative applications, useful experiments, and exciting games.
The Sense HAT contains several helpful environmental sensors: temperature, humidity, pressure, accelerometer, magnetometer, and gyroscope. Additionally, an 8x8 LED matrix is provided with RGB LEDs, which can be used to display multi-color scrolling or fixed information, such as the sensor data. Use the small onboard joystick for games or applications that require user input. In Innovate with Sense HAT for Raspberry Pi, Dr. Dogan Ibrahim explains how to use the Sense HAT in Raspberry Pi Zero W-based projects. Using simple terms, he details how to incorporate the Sense HAT board in interesting visual and sensor-based projects. You can complete all the projects with other Raspberry Pi models without any modifications.
Exploring with Sense HAT for Raspberry Pi includes projects featuring external hardware components in addition to the Sense HAT board. You will learn to connect the Sense HAT board to the Raspberry Pi using jumper wires so that some of the GPIO ports are free to be interfaced to external components, such as to buzzers, relays, LEDs, LCDs, motors, and other sensors.
The book includes full program listings and detailed project descriptions. Complete circuit diagrams of the projects using external components are given where necessary. All the projects were developed using the latest version of the Python 3 programming language. You can easily download projects from the book’s web page. Let’s start exploring with Sense HAT.
35 Touch Develop & MicroPython Projects
The BBC micro:bit is a credit sized computer based on a highly popular and high performance ARM processor. The device is designed by a group of 29 partners for use in computer education in the UK and will be given free of charge to every secondary school student in the UK.
The device is based on the Cortex-M0 processor and it measures 4 x 5 cm. It includes several important sensors and modules such as an accelerometer, magnetometer, 25 LEDs, 2 programmable push-button switches, Bluetooth connectivity, micro USB socket, 5 ring type connectors, and a 23-pin edge connector. The device can be powered from its micro USB port by connecting it to a PC, or two external AAA type batteries can be used.
This book is about the use of the BBC micro:bit computer in practical projects. The BBC micro:bit computer can be programmed using several different programming languages, such as Microsoft Block Editor, Microsoft Touch Develop, MicroPython, and JavaScript.
The book makes a brief introduction to the Touch Develop programming language and the MicroPython programming language. It then gives 35 example working and tested projects using these language. Readers who learn to program in Touch Develop and MicroPython should find it very easy to program using the Block Editor or any other languages.
The following are given for each project:
Title of the project
Description of the project
Aim of the project
Touch Develop and MicroPython program listings
Complete program listings are given for each project. In addition, working principles of the projects are described briefly in each section. Readers are encouraged to go through the projects in the order given in the book.
35 Touch Develop & MicroPython Projects
The BBC micro:bit is a credit sized computer based on a highly popular and high performance ARM processor. The device is designed by a group of 29 partners for use in computer education in the UK and will be given free of charge to every secondary school student in the UK.
The device is based on the Cortex-M0 processor and it measures 4 x 5 cm. It includes several important sensors and modules such as an accelerometer, magnetometer, 25 LEDs, 2 programmable push-button switches, Bluetooth connectivity, micro USB socket, 5 ring type connectors, and a 23-pin edge connector. The device can be powered from its micro USB port by connecting it to a PC, or two external AAA type batteries can be used.
This book is about the use of the BBC micro:bit computer in practical projects. The BBC micro:bit computer can be programmed using several different programming languages, such as Microsoft Block Editor, Microsoft Touch Develop, MicroPython, and JavaScript.
The book makes a brief introduction to the Touch Develop programming language and the MicroPython programming language. It then gives 35 example working and tested projects using these language. Readers who learn to program in Touch Develop and MicroPython should find it very easy to program using the Block Editor or any other languages.
The following are given for each project:
Title of the project
Description of the project
Aim of the project
Touch Develop and MicroPython program listings
Complete program listings are given for each project. In addition, working principles of the projects are described briefly in each section. Readers are encouraged to go through the projects in the order given in the book.
The servo control is based on the SparkFun servo pHAT, and thanks to its I²C capabilities, this PWM add-on saves the Raspberry Pi's GPIO pins, allowing you to use them for other purposes. We have also provided a Qwiic connector for easy interfacing with the I²C bus using the Qwiic system. Whether you use the Auto pHAT with a Raspberry Pi, NVIDIA, Jetson Nano, Google Coral, or other SBC, it makes for a unique robotics addition and board with a 2x20 GPIO.
The DC motor control comes from the same 4245 PSOC and 2-channel motor ports system used on the SparkFun Qwiic Motor Driver. This provides 1.2A steady-state drive per channel (1.5A peak) and 127 levels of DC drive strength. The SparkFun Auto pHAT also supports up to two motor encoders thanks to the onboard ATTINY84A to provide more precise movement to your creation!
Additionally, the Auto pHAT has an on-board ICM-20948 9DOF IMU for all your motion-sensing needs. This enables your robot to access the 3-Axis Gyroscope with four selectable ranges, 3-Axis Accelerometer, again with four selectable ranges, and 3-axis magnetometer with an FSR of ±4900µT.
Power to the SparkFun Auto pHAT can be supplied through a USB-C connector or external power. This will power either the motors only or power the motors and the Raspberry Pi that is connected to the HAT. We've even added power protection circuits to the design to avoid damage to power sources.
Features
4245 PSOC and 2-channel motor ports programmable using Qwiic library
Onboard ATTINY84A supports up to two DC motor encoders
5V pass-through from RPi
Onboard ICM-20948 9DOF IMU for motion sensing accessible via Qwiic library
PWM control for up to four servos
Qwiic connector for expansion to full SparkFun Qwiic ecosystem
Designed for stacking, full header support & can use additional pHATs on top of it
Uninhibited access to the RPi camera connector & display connector.
USB-C for powering 5V rail (Motors/Servos/back powering Pi)
External power inputs broken out to PTH headers
Downloads
Schematic
Eagle Files
Board Dimensions
Hookup Guide
The Nicla Sense ME is a tiny, low-power tool that sets a new standard for intelligent sensing solutions. With the simplicity of integration and scalability of the Arduino ecosystem, the board combines four state-of-the-art sensors from Bosch Sensortec:
BHI260AP motion sensor system with integrated AI
BMM150 magnetometer
BMP390 pressure sensor
BME688 4-in-1 gas sensor with AI and integrated high-linearity, as well as high-accuracy pressure, humidity and temperature sensors.
The Arduino Nicla Sense ME is the smallest Arduino form factor yet, with a range of industrial grade sensors packed into a tiny footprint. Measure process parameters such as temperature, humidity and movement. Featuring a 9-axis inertial measurement unit and the possibility for Bluetooth Low Energy connectivity, it can help you to create your next Bluetooth Low Energy enabled project. Make your own industrial grade wireless sensing network with the onboard BHI260AP, BMP390, BMM150 and BME688 Bosch sensors.
Features
Tiny size, packed with features
Low power consumption
Add sensing capabilities to existing projects
When battery-powered, becomes a complete standalone board
Powerful processor, capable of hosting intelligence on the Edge
Measures motion and environmental parameters
Robust hardware including industrial-grade sensors with embedded AI
BLE connectivity maximizes compatibility with professional and consumer equipment
24/7 always-on sensor data processing at ultra-low power consumption
Specifications
BHI260AP – Self-learning AI smart sensor with integrated accelerometer and gyroscope
BMP390 – Digital pressure sensor
BMM150 – Geomagnetic sensor
BME688 – Digital low power gas, pressure, temperature & humidity sensor with AI
Microcontroller
64 MHz ARM Cortex-M4 (nRF52832)
Sensors
I/O
Castellated pins with the following features:
1x I²C bus (with ext. ESLOV connector)
1x Serial port
1x SPI
2x ADC, programmable I/O voltage from 1.8-3.3 V
Connectivity
Bluetooth 4.2
Power
Micro USB (USB-B), Pin Header, 3.7 V Li-po battery with Integrated battery charger
Memory
512 KB Flash / 64 KB RAM
2 MB SPI Flash for storage
2 MB QSPI dedicated for BHI260AP
Interface
USB interface with debug functionality
Dimensions
22.86 x 22.86 mm
Weight
2 g
Downloads
Datasheet
The Arduino Nano 33 BLE Rev2 stands at the forefront of innovation, leveraging the advanced capabilities of the nRF52840 microcontroller. This 32-bit Arm Cortex-M4 CPU, operating at an impressive 64 MHz, empowers developers for a wide range of projects. The added compatibility with MicroPython enhances the board's flexibility, making it accessible to a broader community of developers.
The standout feature of this development board is its Bluetooth Low Energy (Bluetooth LE) capability, enabling effortless communication with other Bluetooth LE-enabled devices. This opens up a realm of possibilities for creators, allowing them to seamlessly share data and integrate their projects with a wide array of connected technologies.
Designed with versatility in mind, the Nano 33 BLE Rev2 is equipped with a built-in 9-axis Inertial Measurement Unit (IMU). This IMU is a game-changer, offering precise measurements of position, direction, and acceleration. Whether you're developing wearables or devices that demand real-time motion tracking, the onboard IMU ensures unparalleled accuracy and reliability.
In essence, the Nano 33 BLE Rev2 strikes the perfect balance between size and features, making it the ultimate choice for crafting wearable devices seamlessly connected to your smartphone. Whether you're a seasoned developer or a hobbyist embarking on a new adventure in connected technology, this development board opens up a world of possibilities for innovation and creativity. Elevate your projects with the power and flexibility of the Nano 33 BLE Rev2.
Specifications
Microcontroller
nRF52840
USB connector
Micro USB
Pins
Built-in LED Pins
13
Digital I/O Pins
14
Analog Input Pins
8
PWM Pins
All digital pins (4 at once)
External interrupts
All digital pins
Connectivity
Bluetooth
u-blox NINA-B306
Sensors
IMU
BMI270 (3-axis accelerometer + 3-axis gyroscope) + BMM150 (3-axis Magnetometer)
Communication
UART
RX/TX
I²C
A4 (SDA), A5 (SCL)
SPI
D11 (COPI), D12 (CIPO), D13 (SCK). Use any GPIO for Chip Select (CS)
Power
I/O Voltage
3.3 V
Input Voltage (nominal)
5-18 V
DC Current per I/O Pin
10 mA
Clock Speed
Processor
nRF52840 64 MHz
Memory
nRF52840
256 KB SRAM, 1 MB flash
Dimensions
18 x 45 mm
Downloads
Datasheet
Schematics
Unlock a world of interactive learning with the Science Kit R3's robust hardware and software. With the Arduino Nano RP2040 Connect, Arduino Science Carrier R3, and an impressive array of sensors at your disposal, you'll have everything you need to embark on an exhilarating educational journey. Meanwhile, the Science Journal app effortlessly bridges the gap between theory and practice, facilitating real-time data collection, recording, and interpretation.
The kit elevates the learning experience by nurturing an enhanced understanding of complex physics concepts through engaging hands-on experimentation. It promotes scientific literacy and hones critical thinking skills by providing real-world application scenarios. With its intuitive content guide, both teachers and students can navigate through scientific explorations with ease.
Features
Hands-on experimental learning: perform physical experiments, transforming abstract physics concepts into tangible and interactive experiences.
Real-time data collection & analysis: With the integration of the Science Journal app, the kit allows students to collect, record, and interpret real-time data with mobile devices, strengthening their data literacy and scientific inquiry skills.
Teacher and student-friendly design: Equipped with a preloaded program, the kit requires no prior knowledge of coding or electronics. It also features Bluetooth connectivity for easy data transmission from the Arduino board to the students' mobile devices.
Comprehensive sensor ecosystem: The kit comes with multiple sensors, providing a wide range of data collection possibilities and keeping it adaptable to evolving educational needs.
Free guided courses – Explore Physics: Includes an intuitive courses guide that assists teachers and students in using the kit, presenting and analyzing data, and evaluating experimental outcomes. These courses also help students effectively communicate their scientific discoveries.
Comprehensive teaching support: With its intuitive guide, the Arduino Science Kit R3 eases the instructional process for teachers. It not only instructs on kit usage, but also assists in data presentation, analysis, and evaluation, ensuring students communicate their scientific discoveries effectively.
Specifications
Hardware
Arduino Nano RP2040 Connect
Arduino Science Carrier R3
Embedded sensors:
Air quality, temperature, humidity & pressure
IMU: 6-axis linear accelerometer, gyroscope, and magnetometer
Proximity, ambient light, light color
Voltage or electric potential difference
Electrical current
Electrical resistance
Function generators to see and hear the effect of frequency, amplitude, and phase on a sound wave
Ambient sound intensity sensor
Ports
2x Grove analog inputs (for external temperature-probe sensor)
2x Grove I²C ports (for external distance & ping-echo sensor)
1x Battery JST connector
2x Output ports connected to lower power signal from function generators (future generation)
1x 3.3 V output port and Ground
2x speaker ports connected to function generators
Other
50 cm double-ended cable (blue): crocodile clips one end, banana plug the other
20 cm double-ended cable (black): crocodile clips one end, banana plug the other
20 cm double-ended cable (red): crocodile clips one end, banana plug the other
VELCRO strips
Silicon stands
External temperature probe sensor
Ultrasonic distance sensor
Grove cable 4-pin housing with lock x2 (L=200 mm)
USB-C Cable
50 cm double-ended cable (yellow): crocodile clips one end, banana plug the other
2x Speakers
Cable for battery holder with JST connector
Battery holder for four 1V5 AA batteries
