UV Sensor

UV Sensor Ultraviolet Sensor

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Primary Attribute Category: Modules, Sensors, Light {{{userDefinedInfo}}}: {{{userdefinedvalue}}} Brand: Waveshare

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Onboard Interfaces AD

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Overview

• Output voltage boosts along with the ambient ultraviolet intensity increases.
• Onboard amplifier circuit with an adjustable amplification factor.

Specifications

• Chip: SGM8521
• Voltage: 3.3V- 5V
• Output type: Analog outout
• Response spectrum: 200nm-370nm
• Dimension: 22.0mm * 16.0mm
• Mounting holes size: 2.0mm
• Available distance: 0.8m (typ.), 1.5m(max)

Applications

• Ultraviolet tester
• Outdoor ultraviolet detector
• Germicidal lamp

Pinouts

In the case of working with a MCU:

• VCC ↔ 3.3V ~ 5.0V
• GND ↔ power supply ground
• AOUT ↔ MCU.IO (analog output)

Pico Quick Start

Firmware Download

• MicroPython Firmware Download

• C_Blink Firmware Download

Text Tutorial

Introduction

• Raspberry Pi Pico

MicroPython Series

• 【MicroPython】 machine.Pin Function
• 【MicroPython】 machine.PWM Function
• 【MicroPython】 machine.ADC Function
• 【MicroPython】 machine.UART Function
• 【MicroPython】 machine.I2C Function
• 【MicroPython】 machine.SPI Function
• 【MicroPython】 rp2.StateMachine

C/C++ Series

For C/C++, it is recommended to use Pico VS Code for development. This is a Microsoft Visual Studio Code extension designed to make it easier for you to create, develop, and debug projects for the Raspberry Pi Pico series development board. Whether you are a beginner or an experienced professional, this tool can help you confidently and easily develop Pico. Below we will introduce how to install and use the extension.

• Official website tutorial: https://www.raspberrypi.com/news/pico-vscode-extension/.
• This tutorial is applicable to Raspberry Pi Pico, Pico2, and our company's RP2040 and RP2350 series development boards.
• The development environment defaults to Windows as an example. For other environments, please refer to the official website tutorial for installation.

Arduino IDE Series

Install Arduino IDE

1. Download the Arduino IDE installation package from Arduino website.
   
2. Just click on "JUST DOWNLOAD".
   
3. Click to install after downloading.
   
4. Note: You will be prompted to install the driver during the installation process, we can click Install.
   

Install Arduino-Pico Core on Arduino IDE

1. Open Arduino IDE, click the File on the left corner and choose "Preferences".
   
2. Add the following link in "Additional boards manager URLs", then click OK.
   

   https://github.com/earlephilhower/arduino-pico/releases/download/global/package_rp2040_index.json

   
   Note: If you already have the ESP32 board URL, you can separate the URLs with commas like this:

   https://dl.espressif.com/dl/package_esp32_index.json,https://github.com/earlephilhower/arduino-pico/releases/download/global/package_rp2040_index.json
   

3. Click on Tools -> Board -> Board Manager -> Search for pico, it shows installed since my computer has already installed it.
   
   

Upload Demo At the First Time

1. Press and hold the BOOTSET button on the Pico board, connect the Pico to the USB port of the computer via the Micro USB cable, and release the button when the computer recognizes a removable hard drive (RPI-RP2).
   
   
2. Download the demo from #Resource, open the D1-LED.ino under arduino\PWM\D1-LED path.
3. Click Tools -> Port, remember the existing COM, do not need to click this COM (different computers show different COM, remember the existing COM on your computer).
   
4. Connect the driver board to the computer with a USB cable, then click Tools -> Ports, select uf2 Board for the first connection, and after the upload is complete, connecting again will result in an additional COM port.
   
5. Click Tools -> Board -> Raspberry Pi Pico/RP2040 -> Raspberry Pi Pico.
   
6. After setting, click the right arrow to upload.
   
   • If you encounter problems during the period, you need to reinstall or replace the Arduino IDE version, uninstall the Arduino IDE clean, after uninstalling the software you need to manually delete all the contents of the folder C:\Users\[name]\AppData\Local\Arduino15 (you need to show the hidden files in order to see it) and then reinstall.

Open Source Demo

• MicroPython Demo (GitHub)
• MicroPython Firmware/Blink Demo (C)
• Official Raspberry Pi C/C++ Demo
• Official Raspberry Pi MicroPython Demo
• Arduino Official C/C++ Demo

Hardware Connection

Sensor	Pico	Description
VCC	3.3V	Power input
GMD	GND	Power ground
AOUT	GP26	Analog output

Download examples

Use Raspberry Pi as the host device. Open a terminal and run the following commands to download the example.

sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/c/c5/UV-Sensor-code.7z
7z x UV-Sensor-code.7z -o./UV-Sensor-code
cd ~/UV-Sensor-code
cd Pico/c/build/

Examples

C codes

• go into the c directory.

cd ~/UV-Sensor-code/Pico/c/

• Add the path of SDK.

export PICO_SDK_PATH=../../pico-sdk

Note that if the path of your SDK is different, you need to modify the command and use the correct path to export.

• Generate Makefile and build.

cmake ..
make -j9

• After building, a uf2 file is generated.
• Press and hold the button of Pico, connect it to Raspberry Pi then release the button.
• Copy/Drag the uf2 file to the portable disk (RPI-RP2) recognized.

cp main.uf2 /media/pi/RPI-RP2/

Micropython codes

Use in Windows

• 1. Press and hold the BOOTSET button on the Pico board, connect the pico to the USB port of the computer through the Micro USB cable, and release the button after the computer recognizes a removable hard disk (RPI-RP2).
  
• 2. Copy the rp2-pico-20210418-v1.15.uf2 file in the python directory to the recognized removable disk (RPI-RP2).
  
• 3. Open Thonny IDE (Note: Use the latest version of Thonny, otherwise there is no Pico support package, the latest version under Windows is v3.3.3).
  
• 4. Click Tools->Settings->Interpreter, select Pico and the corresponding port as shown in the figure.
  

• 5. File -> Open -> the corresponding .py file, click to run, as shown in the following figure:

Run in Raspberry Pi

• Flash the Micropython firmware first
• Open the Thonny IDE (Menu->Programming->Thonny Python IDE).
• 【Optiional】If the Thonny IDE in the Raspberry Pi is not the new version that supports Pico, please upgrade it first.

sudo apt upgrade thonny

• Configure Interpreter, choose Tools->Options... -> Interpreter, choose MicroPython(Raspberry Pi Pico) and the ttyACM0 port.

• Click File -> Open.. and browser the micropython codes (UV Sensor.py) to run the codes

Expected result

• Use the ultraviolet ray of the currency detector to irradiate the sensor, and the serial port will output the corresponding data.

Note: Ultraviolet rays are harmful to the human body, with the most obvious effects on the skin and eyes. DO NOT irradiate the eyes or skin directly while using.

STM332 User Guide

The STM32 examples are based on the STM32F103RBT6 and the STM32H743. The connection provided below is based on the STM32F103RB. If you need to use other STM32 boards, you may need to change the hardware connection and port the code yourself.

Hardware connection

Sensor	STM32	Description
VCC	3.3V	Power input
GND	GND	Power ground
AOUT	PA6	Analog output

Examples

The examples are developed based on the HAL libraries. Download the Demo codes archive to your PC. Unzip and find the STM32 project from UV-Sensor-code\STM32\STM32F103RB\MDK-ARM.

• Open the V Sensor.uvprojx file by Keil.
• Build and the project.
• Program the project to your STM32 board.
• Connect the UART1 of your STM32 board to the PC and check the serial data by SSCOM software.

Arduino User Guide

The Arduino example is written for the Arduino UNO. If you want to connect it to other Arduino boards, you may need to change the connection.

Hardware connection

Sensor	Arduino	Description
VCC	5V	Power input
GND	GND	Power ground
AOUT	A0	Analog output

Examples

• Download the demo codes to your PC and unzip
• Install the Arduino IDE in your PC
• Go into UV-Sensor-code/Arduino/UV_Sensor
• Run the UV_Senosr.ino file
• Select the correct Board and the Port

• Build the project and upload it to the board.
• Open the serial monitor of the Arduino IDE or the SSCOM software and check the serial data.

Resources

• User Manual
• Schematic
• Demo Code
• Datasheets
• Software

FAQ

Question:Why is the output voltage of the UV sensor very low?

 Answer:

The output voltage of the UV sensor increases with the enhancement of the ultraviolet intensity. And the maximum output voltage of the UV sensor is 2-3V. When the ultraviolet intensity is not strong, the output voltage may be in the range of 0.01-0.1V. It's recommended to test the module outdoor or irradiate the module with UV LED.

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Question:What other choices do I have?

 Answer:

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