Build your textbook weather station or conduct environmental research together with the whole world. With many practical projects for Arduino, Raspberry Pi, NodeMCU, ESP32, and other development boards.
Weather stations have enjoyed great popularity for decades. Every current and even every long discontinued electronics magazine has regularly featured articles on building your own weather station. Over the years, they have become increasingly sophisticated and can now be fully integrated into an automated home — although this often requires loyalty to an (expensive) brand manufacturer across all components.
With your own weather and environmental data, you can keep up and measure things that no commercial station can. It’s also fun: expand your knowledge of electronics, current microcontroller development boards and programming languages in a fun and meaningful way. For less than 10 euros you can get started and record your first environmental data — with time and growing interest, you will continue to expand your system.
In this Edition
Which Microcontroller Fits My Project?
The Right Development Environment
Tracking Wind and Weather
Weather Display with OpenWeatherMap and Vacuum Fluorescent Display
Volatile Organic Compounds in the Air We Breathe
Working with MQ Sensors: Measuring Carbon Monoxide — Odorless but Toxic
CO2 Traffic Light with ThingSpeak IoT Connection
An Automatic Plant Watering System
Good Indoor Climate: Temperature and Humidity are Important criteria
Classy Thermometer with Vintage Tube Technology
Nostalgic Weather House for the Whole Family
Measuring Air Pressure and Temperature Accurately
Sunburn Warning Device
DIY Sensor for Sunshine Duration
Simple Smartphone Says: Fog or Clear View?
Identifying Earthquakes
Liquid Level Measurement for Vessels and Reservoirs
Water pH Value Measurement
Detecting Radioactive Radiation
GPS: Sensor Location Service Across the Globe
Saving and Timestamping Log Files on SD Cards
LoRaWAN, The Things Network, and ThingSpeak
Operating a LoRaWAN Gateway for TTN
Defying "Wind and Weather"
Mega Display with Weather Forecasz
Over 180 Projects with Raspberry Pi, Pico W, Arduino, and ESP32
This bundle contains the Universal Maker Sensor Kit, which consists of many sensors, actuators, displays, and motors. It’s perfect for environmental monitoring, smart home projects, robotics, and game controllers.
The new Elektor book describes the design of many projects using the kit together with the popular Raspberry Pi, Raspberry Pi Pico W, Arduino Uno, and the ESP32 family of development boards. You can choose any of these development boards for your projects and either use the provided programs as they are, or modify these programs to suit your applications.
This bundle contains:
Book: Universal Maker Sensor Kit (normal price: €45)
Universal Maker Sensor Kit for Raspberry Pi, Pico W, Arduino, ESP32 (normal price: €70)
Book: Universal Maker Sensor Kit
Learn to use more than 35 Sensors and Actuators with C++, Python, and MicroPython
This book contains over 180 projects for all four major development boards (Arduino, Raspberry Pi, Pico W, and ESP32). Depending on the development board, projects are available in the C, Python, or MicroPython programming languages.
The project titles, brief descriptions, wiring diagrams, and full program listings together with their detailed descriptions are given in the guide.
Universal Maker Sensor Kit (for Raspberry Pi, Pico W, Arduino, ESP32)
Discover endless creativity with the Universal Maker Sensor Kit, designed for use with Raspberry Pi, Pico W, Arduino, and ESP32. This versatile kit offers compatibility across popular development platforms, including Arduino Uno R4 Minima/WiFi, Uno R3, Mega 2560, Raspberry Pi 5, 4, 3B+, 3B, Zero, Pico W, and ESP32.
Featuring over 35 sensors, actuators, and displays, it's perfect for projects ranging from environmental monitoring and smart home automation to robotics and interactive gaming. Step-by-step tutorials in C/C++, Python, and MicroPython guide beginners and experienced makers alike through 169 exciting projects.
Features
Wide Compatibility: Fully supports Arduino (Uno R3, Uno R4 Minima/WiFi, Mega 2560), Raspberry Pi (5, 4, 3B+, 3B, Zero, Pico W), and ESP32, enabling extensive flexibility across numerous development platforms. Includes instructions for building 169 projects.
Comprehensive Components: Features more than 35 sensors, actuators, and display modules suitable for diverse projects such as environmental monitoring, smart home automation, robotics, and interactive game controllers.
Detailed Tutorials: Provides clear, step-by-step tutorials covering Arduino, Raspberry Pi, Pico W, ESP32, and each included component. Tutorials are available in C/C++, Python, and MicroPython, catering effectively to both beginners and experienced makers.
Suitable for All Skill Levels: Offers structured projects designed to guide users seamlessly from beginner to advanced proficiency in electronics and programming, enhancing creativity and technical expertise.
Kit includes
Breadboard
Button Module
Capacitive Soil Moisture Module
Flame Sensor Module
Gas/Smoke Sensor Module (MQ2)
Gyroscope & Accelerometer Module (MPU6050)
Hall Sensor Module
Infrared Speed Sensor Module
IR Obstacle Avoidance Sensor Module
Joystick Module
PCF8591 ADC DAC Converter Module
Photoresistor Module
PIR Motion Module (HC-SR501)
Potentiometer Module
Pulse Oximeter and Heart Rate Sensor Module (MAX30102)
Raindrop Detection Module
Real Time Clock Module (DS1302)
Rotary Encoder Module
Temperature Sensor Module (DS18B20)
Temperature and Humidity Sensor Module (DHT11)
Temperature, Humidity & Pressure Sensor (BMP280)
Time of Flight Micro-LIDAR Distance Sensor (VL53L0X)
Touch Sensor Module
Ultrasonic Sensor Module (HC-SR04)
Vibration Sensor Module (SW-420)
Water Level Sensor Module
I²C LCD 1602
OLED Display Module (SSD1306)
RGB LED Module
Traffic Light Module
5 V Relay Module
Centrifugal Pump
L9110 Motor Driver Module
Passive Buzzer Module
Servo Motor (SG90)
TT Motor
ESP8266 Module
JDY-31 Bluetooth Module
Power Supply Module
Documentation
Online Tutorial
The FNIRSI GC-03 is a multifunctional radiation detector designed for professional nuclear radiation measurement in everyday environments such as the home, office, car, and outdoors. Equipped with a 2.4-inch high-definition color display, it provides real-time monitoring of nuclear radiation as well as electric and magnetic field strength. For added safety, the device features three alarm modes: audible alert, vibration, and visual light warning.
Features
3-in-1 Detection: Monitors electric, magnetic, and nuclear radiation with one device.
High-Precision GM Tube: Accurately detects gamma, X-rays, and hard beta radiation with low power consumption.
Real-Time Curve + 50 Alarm Records: Tracks radiation trends and stores alarm history for easy review.
Custom Triple Alarms: Supports visual, audible, and vibration alerts with adjustable thresholds.
Long Battery Life: 1500 mAh battery for extended and reliable field use.
Specifications
Nuclear Radiation
Range: 0.01μSv/h-999.99μSv/h
Accuracy: 0.01μSv/h
Electric Field
Range: 1V/m-1999V/m
Accuracy: 1V/m
Magnetic Field
Range: 0.01μT-99.99μT
Accuracy: 0.01μT
Radiation Power
0.2-1000mW/m²
Detection Radiation Type
Ionizing radiation (gamma rays, etc.)
Detector
Energy compensation GM tube (Geiger counter tube)
Dose Current Rate
0.00-10000μSv/h (10mSv/h)
Cumulative Dose Equivalent
0.00μSv-500.0mSv
Energy Range
48keV-1.5MeV ≤ ±30% (for 137Cs-)
Sensitivity
80CPM/μSv
Dose Unit
μSv/h, uGy/h, mR/h, CPS, CPM
Alarm Mode
Light, vibration, sound
Display
2.4-inch color screen
Backlight
Brightness Adjustable
Power Supply
USB-C (5 V/1 A)
Battery
1500 mAh
Languages
English, Chinese
Dimensions
138 x 63 x 32 mm
Weight
141 g
Included
1x FNIRSI GC-03 Radiation Detector
1x USB cable
1x Manual
Downloads
Manual
Firmware v1.0.4
This bundle contains the AI Fusion Lab Kit – which includes over 450 components – and the book Physical AI with Raspberry Pi, offering a comprehensive, hands-on introduction to AI, electronics, and Python programming.
Build practical projects that combine computer vision, voice interaction, sensors, motors, and large language models. The included book guides you step by step from Raspberry Pi setup and hardware control to advanced applications using OpenCV, MediaPipe, YOLO, OpenAI services, and local Ollama models.
SunFounder AI Fusion Lab Kit for Raspberry Pi (450+ parts)
The AI Fusion Lab Kit transforms a Raspberry Pi into a complete platform for learning artificial intelligence, electronics, and Python programming. It supports Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W, as well as popular AI models and services including ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama.
With its camera, Pan-Tilt HAT, 10-axis sensor module, microphone, speaker, and electronic components, the kit enables users to build interactive AI projects that combine voice, vision, movement, and sensor data. It is suitable for beginners, students, makers, and anyone who wants to explore practical AI applications.
Build Multimodal AI Projects
Combine large language models with speech recognition, text-to-speech, camera vision, sensors, and breadboard circuits. Create projects that can listen, speak, see, react, and interact with their environment while learning how modern AI systems work.
Explore AI Vision and Object Tracking
Use YOLO, OpenCV, and MediaPipe to detect and track objects, colors, faces, and human movement. The motorized Pan-Tilt HAT allows the camera to follow targets automatically, demonstrating how computer vision and motion control work together.
Voice AI with the Fusion HAT+
The Fusion HAT+ simplifies hardware control through a unified Python library and supports safe Raspberry Pi shutdown. Its integrated microphone and speaker make it easy to develop voice-controlled assistants and other conversational AI applications.
Compatible with Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W
Supports multiple cloud-based and local AI models
Includes camera, Pan-Tilt HAT, 10DOF module, microphone, and speaker
Projects covering voice AI, computer vision, sensors, and electronics
Video lessons, documentation, and sample code
Book: Physical AI with Raspberry Pi
Using the Raspberry Pi and the AI Fusion Lab Kit, this book takes you step by step from the fundamentals of hardware interfacing to the development of intelligent systems capable of seeing, listening, speaking, and making decisions. Whether you are a student, educator, maker, or professional engineer, you will gain valuable experience through projects designed to build both knowledge and confidence.
Beginning with system setup, GPIO programming, sensors, displays, motors, and automation techniques, the book gradually introduces more advanced topics, including speech recognition, text-to-speech synthesis, conversational AI, object recognition, and machine learning. Along the way, you will learn how to create voice-controlled devices, intelligent assistants, camera tracking systems, environmental monitoring solutions, and AI-powered embedded applications.
Explore modern technologies such as OpenAI services, Ollama local large language models, OpenCV, MediaPipe, and YOLO object detection while gaining practical experience with real-world applications used in robotics, industrial automation, smart devices, and autonomous systems. You’ll discover how intelligent software can interact with sensors, cameras, motors, and displays to create systems that respond naturally to the world around them.
Rather than simply following code examples, you will be encouraged to experiment, customize, and expand every project. The techniques and skills developed throughout this book provide a solid foundation for future innovation, rapid prototyping, research, and product development. If you are ready to move beyond traditional electronics and explore the future of intelligent embedded systems, this book will guide you every step of the way.
This bundle contains:
SunFounder AI Fusion Lab Kit for Raspberry Pi (normal price: €100)
Book: Physical AI with Raspberry Pi (normal price: €45)
Not included
Raspberry Pi
Build your textbook weather station or conduct environmental research together with the whole world. With many practical projects for Arduino, Raspberry Pi, NodeMCU, ESP32, and other development boards.
Weather stations have enjoyed great popularity for decades. Every current and even every long discontinued electronics magazine has regularly featured articles on building your own weather station. Over the years, they have become increasingly sophisticated and can now be fully integrated into an automated home — although this often requires loyalty to an (expensive) brand manufacturer across all components.
With your own weather and environmental data, you can keep up and measure things that no commercial station can. It’s also fun: expand your knowledge of electronics, current microcontroller development boards and programming languages in a fun and meaningful way. For less than 10 euros you can get started and record your first environmental data — with time and growing interest, you will continue to expand your system.
In this Edition
Which Microcontroller Fits My Project?
The Right Development Environment
Tracking Wind and Weather
Weather Display with OpenWeatherMap and Vacuum Fluorescent Display
Volatile Organic Compounds in the Air We Breathe
Working with MQ Sensors: Measuring Carbon Monoxide — Odorless but Toxic
CO2 Traffic Light with ThingSpeak IoT Connection
An Automatic Plant Watering System
Good Indoor Climate: Temperature and Humidity are Important criteria
Classy Thermometer with Vintage Tube Technology
Nostalgic Weather House for the Whole Family
Measuring Air Pressure and Temperature Accurately
Sunburn Warning Device
DIY Sensor for Sunshine Duration
Simple Smartphone Says: Fog or Clear View?
Identifying Earthquakes
Liquid Level Measurement for Vessels and Reservoirs
Water pH Value Measurement
Detecting Radioactive Radiation
GPS: Sensor Location Service Across the Globe
Saving and Timestamping Log Files on SD Cards
LoRaWAN, The Things Network, and ThingSpeak
Operating a LoRaWAN Gateway for TTN
Defying "Wind and Weather"
Mega Display with Weather Forecasz
The Elektor ESP32 Energy Meter is a device designed for real-time energy monitoring and smart home integration. Powered by the ESP32-S3 microcontroller, it offers robust performance with modular and scalable features.
The device uses a 110/230 VAC to 12 VAC step-down transformer for voltage sampling, ensuring galvanic isolation and safety. Its compact PCB layout includes screw-type terminal blocks for secure connections, a Qwiic connector for additional sensors, and a programming header for direct ESP32-S3 configuration. The energy meter is compatible with single-phase and three-phase systems, making it adaptable for various applications.
The energy meter is simple to set up and integrates with Home Assistant, offering real-time monitoring, historical analytics, and automation capabilities. It provides accurate measurements of voltage, current, and power, making it a valuable tool for energy management in homes and businesses.
Features
Comprehensive Energy Monitoring: Get detailed insights into your energy usage for smarter management and cost savings.
Customizable Software: Tailor functionality to your needs by programming and integrating custom sensors.
Smart Home Ready: Compatible with ESPHome, Home Assistant, and MQTT for full Smart Home integration.
Safe & Flexible Design: Operates with a 110/230 VAC to 12 VAC step-down transformer and features a pre-assembled SMD board.
Quick Start: Includes one Current Transformer (CT) sensor and access to free setup resources.
Specifications
Microcontroller
ESP32-S3-WROOM-1-N8R2
Energy Metering IC
ATM90E32AS
Status Indicators
4x LEDs for power consumption indication2x Programmable LEDs for custom status notifications
User Input
2x Push buttons for user control
Display Output
I²C OLED display for real-time power consumption visualization
Input Voltage
12~16 VAC (via a step-down transformer 110/230 VAC to 12 VAC)
Clamp Current Sensor
YHDC SCT013-000 (100 A/50 mA) included
Smart Home Integration
ESPHome, Home Assistant, and MQTT for seamless connectivity
Connectivity
Header for programming, Qwiic for sensor expansion
Applications
Supports single-phase and three-phase energy monitoring systems
Dimensions
79.5 x 79.5 mm
Included
1x Partly assembled board (SMDs are pre-mounted)
2x Screw terminal block connectors (not mounted)
1x YHDC SCT013-000 current transformer
Required
Power transformer not included
Downloads
Datasheet (ESP32-S3-WROOM-1)
Datasheet (ATM90E32AS)
Datasheet (SCT013-000)
Frequently Asked Questions (FAQ)
From Prototype to Finished Product
What started as an innovative project to create a reliable and user-friendly energy meter using the ESP32-S3 microcontroller has evolved into a robust product. Initially developed as an open-source project, the ESP32 Energy Meter aimed to provide precise energy monitoring, smart home integration and more. Through meticulous hardware and firmware development, the energy meter now stands as a compact, versatile solution for energy management.
The Joy-Pi Advanced is a compact and powerful device that allows you to realize your projects quickly and easily. Whether you already have a lot of experience, or next to none, the Joy-Pi Advanced lets you unleash your creativity. Thanks to its compatibility with a wide range of platforms, including Raspberry Pi, Raspberry Pi Pico, Arduino Nano, BBC micro:bit, and NodeMCU ESP32, you can easily and quickly access your preferred platform.
In addition, the Joy-Pi Advanced features more than 30 stations, lessons, and modules, giving you an unlimited variety of ways to get your projects done. With the self-developed learning center, you can not only improve your skills but also create new projects. The learning center offers a wealth of information and tutorials that will guide you step by step through your projects.
Joy-Pi Advanced is characterized in particular by its intelligent switch units, which allow an extended use of the available pins. A total of three switch units are integrated, each equipped with 12 individual switches that provide precise control of the connected sensors and modules. This system solves the well-known problem of limited pin count that occurs with conventional microcontrollers. The switch units allow you to operate a large number of sensors and modules in parallel by switching them on and off individually. This simulates multiple pin assignment, allowing you to exploit the full power of your projects without compromising functionality.
By combining innovative adapter boards and the micro:bit slot, you can achieve seamless compatibility with a wide range of microcontrollers such as Raspberry Pi Pico, NodeMCU ESP32, micro:mit and Arduino Nano. The specially developed adapter boards are designed to perfectly match the respective microcontroller. By plugging the microcontroller onto the appropriate adapter board and then plugging it into the micro:bit slot, the Joy-Pi Advanced quickly and easily becomes compatible with the different microcontrollers. This allows seamless integration of your preferred platform and the ability to combine the strengths of the different microcontrollers in your projects. This way, you can fully focus on your creative projects without worrying about the compatibility of different microcontrollers. The Joy-Pi Advanced simplifies the development process and gives you the possibility to design your projects flexibly and individually.
Features
Highly integrated development platform & learning center
Fast, easy & wireless combination of various sensors & actuators
Installation option for Raspberry Pi 4
Compatible with various microcontrollers
Self-developed, didactic learning platform for Raspberry Pi & Windows
Specifications
Compatible to
Raspberry Pi 4, Arduino Nano, NodeMCU ESP32, BBC micro:bit, Raspberry Pi Pico
Installed sensors, actuators & components
39
Learning platform
Over 40 entries in the know-ledge database, 10 projects, 10 learning tasks, 14 visions
Displays
7-segment display, 16x2 display, 1.8“ TFT display, 0.96" OLED display, 8x8 RGB matrix
Sensors
DS18B20, shock sensor, hall sensor, barometer, sound sensor, gyroscope, PIR sensor, Light barrier, NTC, Light sensor, 6x touch sensor, color sensor, ultrasonic distance sensor, DHT11 temperature & humidity sensor
Control
Joystick, 5x switches, potentiometer, rotary encoder, 4x4 button matrix, relays, PWM fan
Motors
Servo interface, Stepper motor interface, Vibration motor
Measuring & conversion modules
Analog-Digital Converter, Level converter, voltmeter, Variable voltage supply
Other components
RTC real time clock, buzzer, EEPROM memory, infrared receiver, breadboard, RFID reader
Adapter boards
Adapter for NodeMCU ESP32, Arduino Nano & Raspberry Pi Pico, Board connectors for Raspberry Pi & External Boards
Electronic components
Infrared remote control, RFID chip, RFID card, 6x alligator clips, microSD card reader, servo motor, stepper motor, 32 GB microSD card
Components
40x resistors, 3x green LEDs, 3x yellow LEDs, 3x red LEDs, 1x transistor, 5x buttons, 1x potentiometer, 2x capacitors
Other accessories
Screw assortment, screwdriver, accessory storage bag, power supply & power cable, servo mount
Power supply
Built-in power supply: 36 W, 12 V, 3 A Case connector: Small device plug C8
Voltage outputs
12 V, 5 V, 3.3 V, Variable voltage output (2-11 V)
Data buses & signal outputs
I²C, SPI, Analog to digital converter
Battery (RTC)
CR2032
Dimensions
327 x 200 x 52 mm
Included
Raspberry Pi 4 (8 GB RAM)
Downloads
Joy-Pi website
Datasheet
Manual
Over 40 Fully Tested ESP32 Projects Using Arduino IDE and the LVGL Graphics Library
This bundle includes the ESP32 Cheap Yellow Display (CYD) – a compact development board combining a standard ESP32 microcontroller with a 320x240 pixel TFT color display. The board also features multiple connectors for GPIO, serial communication (TX/RX), power, and ground. The built-in display is a major advantage, allowing users to create complex, graphics-based projects without the need for external LCDs or displays.
The accompanying book introduces the CYD board's hardware and on-board connectors in detail. It provides a range of beginner to intermediate-level projects developed using the popular Arduino IDE 2.0. Both basic graphics functions and the powerful LVGL graphics library are covered, with practical projects illustrating each approach.
All included projects have been fully tested and are ready to use. The book provides block diagrams, circuit schematics, complete code listings, and step-by-step explanations. With the LVGL library, readers can create modern, full-color graphical interfaces using widgets such as buttons, labels, sliders, calendars, keyboards, charts, tables, menus, animations, and more.
ESP32 Cheap Yellow Display Board
This development board (also known as "Cheap Yellow Display") is powered by the ESP-WROOM-32, a dual-core MCU with integrated Wi-Fi and Bluetooth capabilities. It operates at a main frequency of up to 240 MHz, with 520 KB SRAM, 448 KBROM, and a 4 MB Flash memory. The board features a 2.8-inch display with a resolution of 240x320 and resistive touch.
Furthermore, the board includes a backlight control circuit, touch control circuit, speaker drive circuit, photosensitive circuit, and RGB-LED control circuit. It also provides a TF card slot, serial interface, DHT11 temperature and humidity sensor interface, and additional IO ports.
The module supports development in Arduino IDE, ESP-IDE, MicroPython, and Mixly.
Applications
Image transmission for Smart Home device
Wireless monitoring
Smart agriculture
QR wireless recognition
Wireless positioning system signal
And other IoT applications
Specifications
Microcontroller
ESP-WROOM-32 (Dual-core MCU with integrated Wi-Fi and Bluetooth)
Frequency
Up to 240 MHz (computing power is up to 600 DMIPS)
SRAM
520 KB
ROM
448 KB
Flash
4 MB
Operating voltage
5 V
Power consumption
approx. 115 mA
Display
2.8-inch color TFT screen (240 x 320)
Touch
Resistive Touch
Driver chip
ILI9341
Dimensions
50 x 86 mm
Weight
50 g
Downloads
GitHub
This bundle contains:
The ESP32 Cheap Yellow Display Book (normal price: €35)
ESP32 Cheap Yellow Display Board (normal price: €25)
1x ESP32 Dev Board with 2.8" Display and acrylic Shell
1x Touch pen
1x Connector cable
1x USB cable
Discover endless creativity with the Universal Maker Sensor Kit, designed for use with Raspberry Pi, Pico W, Arduino, and ESP32. This versatile kit offers compatibility across popular development platforms, including Arduino Uno R4 Minima/WiFi, Uno R3, Mega 2560, Raspberry Pi 5, 4, 3B+, 3B, Zero, Pico W, and ESP32.
Featuring over 35 sensors, actuators, and displays, it's perfect for projects ranging from environmental monitoring and smart home automation to robotics and interactive gaming. Step-by-step tutorials in C/C++, Python, and MicroPython guide beginners and experienced makers alike through 169 exciting projects.
Features
Wide Compatibility: Fully supports Arduino (Uno R3, Uno R4 Minima/WiFi, Mega 2560), Raspberry Pi (5, 4, 3B+, 3B, Zero, Pico W), and ESP32, enabling extensive flexibility across numerous development platforms. Includes instructions for building 169 projects.
Comprehensive Components: Features more than 35 sensors, actuators, and display modules suitable for diverse projects such as environmental monitoring, smart home automation, robotics, and interactive game controllers.
Detailed Tutorials: Provides clear, step-by-step tutorials covering Arduino, Raspberry Pi, Pico W, ESP32, and each included component. Tutorials are available in C/C++, Python, and MicroPython, catering effectively to both beginners and experienced makers.
Suitable for All Skill Levels: Offers structured projects designed to guide users seamlessly from beginner to advanced proficiency in electronics and programming, enhancing creativity and technical expertise.
Included
Breadboard
Button Module
Capacitive Soil Moisture Module
Flame Sensor Module
Gas/Smoke Sensor Module (MQ2)
Gyroscope & Accelerometer Module (MPU6050)
Hall Sensor Module
Infrared Speed Sensor Module
IR Obstacle Avoidance Sensor Module
Joystick Module
PCF8591 ADC DAC Converter Module
Photoresistor Module
PIR Motion Module (HC-SR501)
Potentiometer Module
Pulse Oximeter and Heart Rate Sensor Module (MAX30102)
Raindrop Detection Module
Real Time Clock Module (DS1302)
Rotary Encoder Module
Temperature Sensor Module (DS18B20)
Temperature and Humidity Sensor Module (DHT11)
Temperature, Humidity & Pressure Sensor (BMP280)
Time of Flight Micro-LIDAR Distance Sensor (VL53L0X)
Touch Sensor Module
Ultrasonic Sensor Module (HC-SR04)
Vibration Sensor Module (SW-420)
Water Level Sensor Module
I²C LCD 1602
OLED Display Module (SSD1306)
RGB LED Module
Traffic Light Module
5 V Relay Module
Centrifugal Pump
L9110 Motor Driver Module
Passive Buzzer Module
Servo Motor (SG90)
TT Motor
ESP8266 Module
JDY-31 Bluetooth Module
Power Supply Module
Documentation
Online Tutorial
This bundle gives you everything you need to get started right away with the XIAO ESP32-C3 development board. Learn the fundamentals of the ESP32-C3 and build practical projects with Wi-Fi, Bluetooth, sensors, displays, PWM, Deep Sleep, and much more.
Book: Build Smart Projects with the XIAO ESP32-C3 Board
The XIAO ESP32-C3 board combines the ultra-compact form factor of the XIAO series with the full capabilities of the ESP32-C3 chip, including integrated Wi-Fi and Bluetooth 5.0. This book is a comprehensive, hands-on guide to getting the most out of this powerful yet affordable development board.
The author takes readers from the fundamentals to advanced projects. Starting with LED blinking and dimming, the book progresses to ADC and PWM for precise sensor interfacing and PWM-controlled lighting effects before moving on to building practical, real-world applications, including:
A Wi-Fi weather station with an OLED display and real-time online weather data
An ultrasonic parking assistant with audible feedback
A refrigerator monitoring probe with climate sensing and Deep Sleep for years of battery operation
A retro Pong game controlled by a touch-free sensor
A microphone-based party app that responds to claps
And much more: lighting control, reaction-time measurement, mains frequency analysis, soil moisture sensing, ambient LED lighting, and 7-segment displays
Seeed Studio XIAO ESP32C3
Seeed Studio XIAO ESP32C3 has equipped a highly-integrated ESP32-C3 chip, built around a 32-bit RISC-V chip processor with a four-stage pipeline that operates at up to 160 MHz.
The board equips highly-integrated ESP32-C3 SoC. The chip has been installed with a complete 2.4 GHz Wi-Fi subsystem which means it supports Station mode, SoftAP mode, SoftAP & Station mode, and promiscuous mode for multiple Wi-Fi applications. It works under an ultra-low power state, also supporting features of Bluetooth 5 and Bluetooth mesh. There are 400 KB SRAM & 4 MB Flash on the chip, allowing for more programming space, and bringing more possibilities to the IoT control scenarios.
Applications
Internet of Things
Wearable devices
Health monitoring
Education
Low-Power networking
Rapid prototyping
Specifications
Processor
ESP32-C3 SoC
RISC-V single-core 32-bit chip processor with a four-stage pipeline that operates at up to 160 MHz
Wireless
Complete 2.4GHz Wi-Fi subsystem
Bluetooth Low Energy 5.0/ Bluetooth Mesh
On-chip Memory
400 KB SRAM & 4 MB Flash
Interface
1x UART, 1x I²C, 1x SPI, 11x GPIO (PWM), 4x ADC
1x Reset button, 1x Boot button
Power (Typ.)
Max 3.3 V Output Current: 500 mA Test Condition: BAT Pin Input @ 3.8 V Source Capability: 3 A
Charging current: 380 mA(Fast) / 40 mA(Trickle)
Input voltage (VIN): 5 VInput voltage (BAT): 3.7 V
Deep Sleep Power Consumption
Deep Sleep Mode: 44 μA
Wi-Fi Enabled Power Consumption
Active Mode: 75 mA
Modem-sleep Mode: 25 mA
Light-sleep Mode: 4 mA
BLE Enabled Power Consumption
Modem-sleep Mode: 27 mA
Light-sleep Mode: 10 mA
Dimensions
21 x 17.8 mm
Included
1x Seeed Studio XIAO ESP32C3
1x Antenna
2x 7-pin header
Downloads
Wiki
Datasheet
This bundle contains:
Book: Build Smart Projects with the XIAO ESP32-C3 Board (normal price: €35)
Board: Seeed Studio XIAO ESP32C3 (normal price: €10)
,
by Jean-François Simon
Mastering Electronics: An In-Depth Look at the Aoyue Int 866 Rework Station
In the ever-evolving world of electronics, soldering remains a crucial skill. Addressing this need, the Aoyue 866 rework station steps up with a multifunctional approach,...