Wofarmy 22-In-1 Starter Kit Sensor Module with Tutorial for Arduino Durable 3/4"

Warm Tips:

*Kit designed for ARDUINO and for Raspberry Pi

Features:

* and

*Made of material, and practical to use

* sensor kit for ARDUINO and for Raspberry Pi.

* Our customers have given very good, so choose us and you will get a - and reliable kit that is compatible with for ARDUINO for Raspberry Pi and for STM32.

* A total of 22 sensor kits are suitable for beginners. The 22-in-1 sensor learning package includes most of the project designs for beginners.

*All sensor kits have been carefully and tested. Useless and less used modules have been removed.

*We eliminated many old-fashioned sensors, which have low reliability and have the same functions as the other sensors in the kit.

Instruction manual directory:

1: temperature and humidity sensor

1 Introduction

for 2. Example(used with for ARDUINO)

for 2: infrared sensor

1 Introduction

for 2. Example(used with for ARDUINO)

3: GY-BMP280 pressure sensor

1 Introduction

for 2. Example(used with for ARDUINO)

4: LM393 photosensitive sensor

1 Introduction

for 2. Example(used with for ARDUINO)

Unit 5: Soil Moisture Sensor

1 Introduction

for 2. Example(used with for ARDUINO)

And many more...

Specifications:

*Type: Sensor

*Condition: New

Package Contents:

1*temperature and humidity sensor

1* infrared sensor

1* GY-BMP280 pressure sensor

1* LM393 photosensitive sensor

1* Soil moisture sensor

1* KY-008 sensor

1*TTP223B touch sensor

1*Water level sensor

1*Voltage sensor

1* sensor

1* Linear electromagnetic Hall sensor

1* cable(male to female)

1* for HC-SR04 sensor

1* Vibration switch sensor

1*Tracking

1* Microphone sensor

1*Photosensitive sensor

1* Obstacle Avoidance Sensor

1* Raindrop sensor

1* Angle sensor

1* Infrared receiving sensor

1*Hall sensor

Note:

1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.

for 2. Please allow slight manual measurement deviation for the data.