![]() Let’s calibrate the color sensor to improve its accuracy. If your EZO-RGB™ Embedded Color Sensor hasn’t been calibrated, the sensor will have trouble reading the colors correctly, as they may appear too dark. You should see three values displayed on the screen, R = red, G = green and B = blue (each of these values range from 0 – 255) along with a rectangle that shows you the color of the target object. The readings will now be displayed in the full-sized screen on the monitor Using your attached USB mouse click on the rectangle, to open the RGB Screen of the software. Once The Atlas IoT Monitoring Software has loaded you should see a black screen with a small, outlined rectangle (this rectangle shows the current color of the target object). From here we can see the live readings from the EZO-RGB™ Embedded Color Sensor. Once the Pi OS has finished loading, it will automatically load the Atlas IoT Monitoring Software. This only happens during the 1 st time it boots up. The Pi will run through an initial setup and may reboot a few times in the process. Now that everything is properly connected, boot up the Raspberry Pi, and monitor. Refer to the EZO-RGB™ Embedded Color Sensor datasheet on how to switch to UART mode. If your EZO-RGB™ Embedded Color Sensor is in I2C mode, don’t worry, it can be switched from I2C mode to UART mode easily. ![]() If the LED is blinking green, you are in UART mode. You can easily tell what mode the circuit is in by looking at the LED on the back of the sensor. By default, all our EZO devices are in UART mode. There are color indicators on the sides of the EZO™ Adapter, make sure you line it up correctly! *Side Noteįor the Raspberry Pi to detect the EZO-RGB™ Embedded Color Sensor via USB, the sensor must be in UART mode. Just slide the sensor connector onto the adapter. Next, connect the EZO-RGB™ Embedded Color Sensor to the EZO™ Adapter. ![]() Insert the EZO™ Adapter directly into the Carrier board, just like you would do if this were an EZO™ class circuit. If you haven’t already, attach the 4 standoffs (legs) to the Gen 2 Electrically Isolated USB EZO™ Carrier Board, and then attach the Micro USB cable into both, the Carrier board and Pi. Next, connect the USB power supply and mouse to the Pi. Using the HDMI cable, connect the monitor of your choice to the Raspberry Pi. Now that the AtlasIoT.img has been successfully mounted onto the Micro SD card, remove it from card reader and insert it into the Raspberry Pi. The mounting process should take ~12 mins (depending on the Micro SD card used) Then click on the “Write” button to begin mounting the image. Click on the blue folder icon, locate, and select the extracted AtlasIoT.img file. Now that the Disk Imager software is installed, lets mount the IoT Image file to our SD card.īegin by inserting the Micro SD card into your card reader of choice and connect that to your PC, then launch the program. *Atlas Scientific has not tested this software, this is what is recommended by the Raspberry Pi community (This program is for PC only, if you are following along on a MAC you can use a program called Raspberry Pi Imager* Next, we’ll need to mount the image onto a Micro SD card, using a program called Win32 Disk Imager Once the image file has finished downloading, extract the file. Let’s begin by downloading the Atlas IoT Software – Image file, by clicking HERE. For today’s article, we are going to use the Image file method, which has the Raspberry Pi OS and Atlas IoT already installed and ready to go, once its fully mounted onto a SD card. There are two different ways to install our IoT Monitoring Software, via Image file OR Zip file. 1x Micro 16gb SD Card – class 10 SD/ UHS-I or higher speedĪt full power, the onboard LEDs are VERY bright.ĭo not look directly at the light without wearing eye protection.1x Gen 2 Electrically Isolated USB EZO™ Carrier Board.
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