BH1745NUC

BH1745NUC Digital Color Sensor

The BH1745NUC provides RGBC (red, green, blue) and Clear light sensing using I²C communications.

This Device is available from ControlEverything.com [SKU: BH1745NUC_I2CS]

https://www.controleverything.com/content/Color?sku=BH1745NUC_I2CS

This Sample code can be used with Raspberry Pi, Arduino, Particle Photon, Beaglebone Black and Onion Omega.

Java

Download and install pi4j library on Raspberry pi. Steps to install pi4j are provided at:

http://pi4j.com/install.html

Download (or git pull) the code in pi.

Compile the java program.

$> pi4j BH1745NUC.java

Run the java program.

$> pi4j BH1745NUC

Python

Download and install smbus library on Raspberry pi. Steps to install smbus are provided at:

https://pypi.python.org/pypi/smbus-cffi/0.5.1

Download (or git pull) the code in pi. Run the program.

$> python BH1745NUC.py

Arduino

Download and install Arduino Software (IDE) on your machine. Steps to install Arduino are provided at:

https://www.arduino.cc/en/Main/Software

Download (or git pull) the code and double click the file to run the program.

Compile and upload the code on Arduino IDE and see the output on Serial Monitor.

Particle Photon

https://docs.particle.io/guide/getting-started/connect/photon/

Download (or git pull) the code. Go to online IDE and copy the code.

https://build.particle.io/build/

Verify and flash the code on your Photon. Code output is shown in logs at dashboard:

https://dashboard.particle.io/user/logs

C

Download (or git pull) the code in Beaglebone Black.

Compile the c program.

$>gcc BH1745NUC.c -o BH1745NUC

Run the c program.

$>./BH1745NUC

Onion Omega

Get Started and setting up the Onion Omega according to steps provided at :

https://wiki.onion.io/Get-Started

To install the Python module, run the following commands:

opkg update

opkg install python-light pyOnionI2C

Download (or git pull) the code in Onion Omega. Run the program.

$> python BH1745NUC.py

ESP8266

Install the Boards Manager on your Arduino IDE. The Steps are provided at:

http://www.arduinesp.com/getting-started

Download (or git pull) the code and double click the file to run the program.

Compile and upload the code on Arduino IDE and see the output on Serial Monitor.

Copy the IP Address of your ESP8266 from Serial Monitor and paste it in your Web Browser to see the result on Web Server.

Note: Your system and ESP8266 should be connected to same Wi-Fi Network.

Windows 10 IoT Core

To download Windows 10 IoT Core, visit Get Started page

https://developer.microsoft.com/en-us/windows/iot/GetStarted

Download (or git pull) the sample, make a copy on your disk and open the project from Visual Studio.

Note: Your IoT Core device and development PC should be connected to same local Network.

#####The code output is the RGB lux value and Clear light luminance.

ControlEverythingCommunity/BH1745NUC