The Winkler titration method measures the amount of dissolved oxygen in water. It involves adding chemicals to the water to react with the oxygen molecules, to form an acidic solution. The amount of neutralizing agent required to neutralize the solution until the sample becomes clear in color, indicates how much oxygen was in the original
How to Connect a Color Sensor to a Raspberry Pi
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In this article, we will show you how to connect an Atlas Scientific EZO-RGB™ Embedded Color Sensor to a Raspberry Pi. There are multiple ways to connect Atlas Scientific sensors to your device of choice. In previous posts we have shown how to wire our EZO™ sensors directly into an Arduino and/or a Raspberry Pi. For this article we’ll be using our Gen 2 Electrically Isolated USB EZO™ Carrier Board connected to an Raspberry Pi 3.0 B+ , running our Atlas IoT Monitoring Software.
Before we begin have the following items readily available:
- 1x Raspberry Pi 3.0 B+
- 1x Raspberry Pi USB power supply
- 1x EZO™ Adapter
- 1x EZO-RGB™ Embedded Color Sensor
- 1x Gen 2 Electrically Isolated USB EZO™ Carrier Board
- 1x Micro 16gb SD Card – class 10 SD/ UHS-I or higher speed
- 1x Micro SD card reader (optional)
- 1x Micro USB cable
- 1x HDMI cable
- 1x Monitor & Power cable
- 1x USB mouse
At full power, the onboard LEDs are VERY bright.
Do not look directly at the light without wearing eye protection.
Step 1. Installing the IoT Monitoring Software
There are two different ways to install our IoT Monitoring Software, via Image file OR Zip file. 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.
Let’s begin by downloading the Atlas IoT Software – Image file, by clicking HERE. Once the image file has finished downloading, extract the file. Next, we’ll need to mount the image onto a Micro SD card, using a program called Win32 Disk Imager
(This program is for PC only, if you are following along on a MAC you can use a program called Raspberry Pi Imager*
*Atlas Scientific has not tested this software, this is what is recommended by the Raspberry Pi community
Now that the Disk Imager software is installed, lets mount the IoT Image file to our SD card.
Begin by inserting the Micro SD card into your card reader of choice and connect that to your PC, then launch the program. Click on the blue folder icon, locate, and select the extracted AtlasIoT.img file. Then click on the “Write” button to begin mounting the image.
The mounting process should take ~12 mins (depending on the Micro SD card used)
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.
Step 2. Connecting to the Raspberry Pi
Using the HDMI cable, connect the monitor of your choice to the Raspberry Pi. Next, connect the USB power supply and mouse to the Pi. 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.
Insert the EZO™ Adapter directly into the Carrier board, just like you would do if this were an EZO™ class circuit.
Next, connect the EZO-RGB™ Embedded Color Sensor to the EZO™ Adapter. Just slide the sensor connector onto the adapter. There are color indicators on the sides of the EZO™ Adapter, make sure you line it up correctly!
For the Raspberry Pi to detect the EZO-RGB™ Embedded Color Sensor via USB, the sensor must be in UART mode. By default, all our EZO devices 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. If the LED is blinking green, you are in UART mode. If its solid blue you are in I2C 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. Refer to the EZO-RGB™ Embedded Color Sensor datasheet on how to switch to UART mode.
Now that everything is properly connected, boot up the Raspberry Pi, and monitor. The Pi will run through an initial setup and may reboot a few times in the process. This only happens during the 1st time it boots up. Once the Pi OS has finished loading, it will automatically load the Atlas IoT Monitoring Software. From here we can see the live readings from the EZO-RGB™ Embedded Color Sensor.
Step 3. Viewing Color Sensor Readings
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). Using your attached USB mouse click on the rectangle, to open the RGB Screen of the software. The readings will now be displayed in the full-sized screen on the monitor
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. 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. Let’s calibrate the color sensor to improve its accuracy. To being the calibration process, click on the gear icon, located at the bottom left of the screen.
Step 4. Calibration
Before we get into the calibration process, there is one important factor to consider when reading color: Distance
As the EZO-RGB™ Embedded Color Sensor is placed further away from the target object, its ability to detect color is diminished. At distances greater than 45cm most colors become varying shades of gray.
The EZO-RGB™ Embedded Color Sensor is designed to be calibrated to a white object at the maximum brightness the object will be viewed under. To get the best results Atlas Scientific strongly recommends that the sensor is mounted into a fixed location. Holding the sensor in your hand during calibration will decrease performance.
1. Embed the Color Sensor into its intended use location.
2. Set LED brightness to the desired level.
3. Place a white object in front of the target object and then click on the calibrate button.
4. A single color reading will be taken, and the device will be fully calibrated.
Now, you can take accurate color readings. Within the RGB color screen you will see the R, G, B value of the target object. When at the home screen, the Hex color # of the target object will be shown.
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