02 Little Light Catcher | Python Programming on Hardware for Beginners
In daily life, the intensity of light has a significant impact on human emotions. Bright light tends to exacerbate emotions, which is why places like study rooms and kitchens often use bright lighting to improve productivity. Conversely, bedrooms are better suited for soft lighting, aiding in relaxation. However, relying solely on subjective perception makes it difficult to accurately assess light intensity. Therefore, how can we measure ambient light intensity to evaluate whether the lighting in various rooms is appropriate?
Next, we will utilize a light sensor on a UNIHIKER, coupled with Python programming, to develop a light sensing project - the 'Little Light Catcher'. This project can continuously monitor and analyze ambient light intensity. With the Little Light Catcher, we can precisely measure the light intensity in different rooms to assess the current lighting setup's suitability. This project provides a foundation for home lighting design, whether adjusting brightness levels in work areas or creating a cozy atmosphere in bedrooms, making it a practical tool.
Let's embark on creating the Little Light Catcher Python project together, enhancing home life with more intelligence and comfort!
Task Objectives
The detected light values through the light sensor will be displayed on the screen. Additionally, the strength of the light will be divided into four levels, and the corresponding brightness level of the small light background image will be displayed in different environments with varying light intensity.
Knowledge points
Understanding Light Sensors
Understanding the Pinpong Library
Learning how to use the Pinpong Library to detect light values
Learning how to use the Unihiker Library to display images, switch between text and images
Material List
Hardware List：
Software Preparation：Mind+ Programming Softwarex1
Knowledge background
1.What is a light sensor?
A light sensor is a device that can convert light signals into electrical signals, which can be used to detect the value of light. The light sensor is built into the UNIHIKER and returns an analog value when detecting light, with a numerical range of 0-4095. The brighter the light, the higher the numerical value, and the darker the light, the lower the numerical value.
2. What is Pinpong Library？
Through the Mind+ software, we can connect the UNIHIKER to the computer, but how can we control the components on the UNIHIKER to run? This is where we need to use the Pinpong Library. The Pinpong Library is a Python library for controlling open-source hardware mainboards based on the Firmata protocol. It takes only five minutes to get started with using Python to control open-source hardware. The principle is to burn a specific firmware onto the open-source hardware, so that the open-source hardware can communicate with the computer through the serial port and execute various commands.
The name of the Pinpong Library is composed of "Pin" and "Pong". "Pin" refers to the pin, and "Pinpong" is a homophonic word of "Ping Pong", which refers to the back and forth of the signal.
The design of the Pinpong Library is to free developers from being restricted by complex hardware models during the development process and to focus on the implementation of software. Even if the program is developed using other boards in the initial stage, it can be modified to run on the UNIHIKER by simply modifying the hardware parameters, achieving the goal of "writing once, running everywhere".
So, can all the hardware on the UNIHIKER be controlled through the Pinpong Library?
In fact, the UNIHIKER is composed of a single board computer and a microcontroller system. The microcontroller system is similar to an Arduino board, and the onboard gold fingers, Gravity interface, I2C interface, buttons, buzzer, light sensor, accelerometer and gyroscope are all connected to the microcontroller. When in use, they can be controlled through the Pinpong Library. The single-board computer can be regarded as a small computer, and the touch screen, USB port, microphone, home button, etc. on the UNIHIKER can all be controlled through it.
3. The method of importing the Pinpong library and initializing the board
To control the UNIHIKER using the Pinpong library, we need to initialize the board first. To do this, we need to import the Board class from the "pinpong.board" package provided by the Pinpong library. Similarly, to control the various components on the UNIHIKER, we need to import the relevant modules from the "pinpong.extension.unihiker" package.
from pinpong.board import Board # Import the Board module from the pinpong.board package
from pinpong.extension.unihiker import * # Import all modules from the pinpong.extension.unihiker package
Board('UNIHIKER').begin() # Initialize the board by selecting the board type and port number; if not specified, the program will automatically detect itIn the code snippet, the main control board model 'UNIHIKER' is specified in the argument of Board(''), and the port number is specified in the begin() function. If the model and port number are not specified, the program will automatically recognize them.
4. The instruction 'light.read()' in the Pinpong library reads the light value
"After initializing the board, we can use the 'light.read()' command in the Pinpong library to read the light value."
Light = light.read() # Read the light valueSpecifically, the command "light.read()" is used to read the light value, with "Light" being a variable used to store the value read.
Tips: The Pinpong library encapsulates the functions of the onboard components in their respective classes in the "pinpong.extension.unihiker" file. Since the classes have already been instantiated in the file, a "light" object has been generated. Therefore, we can directly use "light.read()" to read the light value.
5. The draw_image() method of the Unihiker library's
GUI class can display images on the screen of the UNIHIKER. When programming, this functionality is achieved through the format "object.method()", and the method returns an image object that can be stored in a variable for subsequent object update operations.
img = gui.draw_image(x=0, y=0, w=240, h=320, image='light-1.png') # Display the initial background image 'light-1'The parameters w and h in the method represent the width and height of the image, respectively. If omitted, the image will be scaled proportionally based on the smaller of the two dimensions. If both width and height parameters are omitted, the original resolution of the image will be maintained. Here, we will set the width and height to match the screen. The "image" parameter corresponds to the image source, which can be a path or an image object. "img" is a variable used to store the image object.
Tips: When it is necessary to set the position of the image, the horizontal and vertical coordinates can be determined by fixing the values of x and y. When the position is (0,0), it can be omitted.
6. General Knowledge and Functionality of Unihiker Library's GUI Class
（1）Updating Control Object Configurations
All the elements displayed on the screen of the UNIHIKER can be referred to as controls, such as images, text, emoticons, buttons, etc. Once generated, control objects can be modified by using the "object.config()" method.
img = gui.draw_image(x=0, y=0, w=240, h=320, image='light-1.png') # Display the initial background image 'light-1'
img.config(image='light-2.png') # Switch the background image to 'light-2'Here, we first displayed an initial background image 'light-1.png' and stored it as a image control in the variable 'img'. Then, we updated the control object by using the 'config' method to replace the background image with 'light-2.png'
value = gui.draw_text(x=155, y=30, text='0', font_size=18) # Display the initial light value
value.config(text='666') # Update the displayed light valueHands-on practice
Task Description 1: Display a fixed light value
Display the light value of 800 on the screen, while showing a background image of a small lamp.
1. Hardware setup
STEP 1: Connect the UNIHIKER to the computer via a USB cable.
2. program coding
STEP 1: Create and Save Project File
Launch Mind+, save the project as "002 Little Light Catcher".
STEP2: Create and Save Python File
Create a Python program file named "main1.py" and double-click to open it.
STEP 3: Importing Images
To import the required PNG images into the project folder, follow these steps:
Drag and drop the images from the ‘pictures‘ files into the project folder one by one.
STEP 4: Programming
(1)Import necessary libraries
In this task, we need to use the GUI module in the Unihiker library to display images and text on the screen. Therefore, we need to import it first. The code is as follows. Also, since we need a certain delay in the program to keep it running, we also need to import the time library.
from unihiker import GUI # Import the unihiker library
import time # Import the time library(2)Instantiate the GUI class
Before using the GUI module in the Unihiker library to display text and images, we need to instantiate the GUI class to create an object for using various methods in the class.
gui = GUI() # Instantiate a GUI object by creating an instance of the GUI class(3)Display image
After creating the gui object, we can add a background image to the blank screen.
img = gui.draw_image(x=0, y=0, w=240, h=320, image='light-1.png') # Display the initial background image 'light-1'
(4)Displaying the Light Value
Afterwards, we assigned a specific light value of "800" and displayed it on the screen.
value = gui.draw_text(x=155, y=30, text='800', font_size=18) # Display the default light value(5)Maintaining Display of Content
In order to ensure that the screen content is displayed for a long time, we keep the program running at the end, thus maintaining the display of content.
while True: # Loop
time.sleep(1) # Delay for 1 secondTips：The complete example Python program is as follows:
from unihiker import GUI # Import the unihiker library
import time # Import the time library
gui = GUI() # Instantiate a GUI object by creating an instance of the GUI class
img = gui.draw_image(x=0, y=0, w=240, h=320, image='light-1.png') # Display the initial background image 'light-1'
value = gui.draw_text(x=155, y=30, text='800', font_size=18) # Display the default light value
while True: # Loop
time.sleep(1) # Delay for 1 second
3. Running the Program
STEP 1: Remote connection to the UNIHIKER
1. Confirm that the UNIHIKER is connected and powered on.
2. Open the remote connection terminal.
3. Connect to the UNIHIKER.
Tips: "10.1.2.3" is the fixed IP address used for the UNIHIKER when connected directly to a computer via USB cable.
STEP 2: Click on the "Run" button in the upper right corner.
STEP 3: Observe the result.
Observing the blank space, a blue LED can be seen displayed in the center of the screen, with a value of 800 displayed in the light value bar.
Task Description 2: Real-time detection of light values
Real-time detection of light values through the onboard light sensor, displayed on the screen, and the light values are evenly divided into four different levels, and different brightness levels of small light pictures are displayed accordingly.
1. program coding
STEP 1: Create and Save Project Files
Previously, we have already created and saved a project file. Here, we only need to create a new Python program file named "main2.py" and save it. The specific operation method is the same as before. After creating it, we double-click to open it for programming.
STEP 2：Programming
(1)Import necessary libraries
We need to import the necessary libraries to detect light values through the onboard light sensor. Therefore, we will import the Pinpong libraries and initialize the UNIHIKER.
(2)Instantiating the GUI Class and Displaying the Background Image and Initial Light Value on Screen
gui = GUI() # Instantiate the GUI class and create a gui object
img = gui.draw_image(x=0, y=0, w=240, h=320, image='light-1.png') # Display the initial background image 'light-1'
value = gui.draw_text(x=155, y=30, text='0', font_size=18) # Display the initial light value(3)Loop through to detect the light value and update the numerical display and image accordingly.
In the previous task, we stored the light value in the variable "Light" and assigned it a value of 800. In this task, we will detect the light value using the onboard light sensor and assign it to the variable "Light". To continuously monitor and update the light value on the screen every second, we will use a while loop.
while True:
Light = light.read() # Read the light value
value.config(text=Light) # Update the displayed light value
# Determine the light level
if 0 <= Light < 1024:
img.config(image='light-2.png') # Switch the background image to 'light-2'
elif 1024 <= Light < 2048:
img.config(image='light-3.png') # Switch the background image to 'light-3'
elif 2048 <= Light < 3072:
img.config(image='light-4.png') # Switch the background image to 'light-4'
else:
img.config(image='light-5.png') # Switch the background image to 'light-5'
time.sleep(1) # Delay for 1 second to keep the screen content displayed for a longer timeTips：The complete example python program is as follows:
from unihiker import GUI # Import the unihiker library
import time # Import the time library
from pinpong.board import Board # Import the Board module from the pinpong.board package
from pinpong.extension.unihiker import * # Import all modules from the pinpong.extension.unihiker package
Board().begin() # Initialize the board by selecting the board type and port number; if not specified, the program will automatically detect it
gui = GUI() # Instantiate the GUI class and create a gui object
img = gui.draw_image(x=0, y=0, w=240, h=320, image='light-1.png') # Display the initial background image 'light-1'
value = gui.draw_text(x=155, y=30, text='0', font_size=18) # Display the initial light value
while True:
Light = light.read() # Read the light value
value.config(text=Light) # Update the displayed light value
# Determine the light level
if 0 <= Light < 1024:
img.config(image='light-2.png') # Switch the background image to 'light-2'
elif 1024 <= Light < 2048:
img.config(image='light-3.png') # Switch the background image to 'light-3'
elif 2048 <= Light < 3072:
img.config(image='light-4.png') # Switch the background image to 'light-4'
else:
img.config(image='light-5.png') # Switch the background image to 'light-5'
time.sleep(1) # Delay for 1 second to keep the screen content displayed for a longer time
2. Running the Program
STEP 1: Remote connection to the UNIHIKER
STEP 2: Observe the result.
After clicking "Run", observe the UNIHIKER board and shine light on the light sensor from different angles. You will notice that the light value displayed at the top of the screen is constantly changing at regular intervals, while the brightness of the LED and the filling of the progress bar change accordingly. The stronger the light, the higher the numerical value, the brighter the LED, and the higher the filling of the progress bar.
If you want to use the UNIHIKER to complete more Python projects, you can click on the corresponding course project to learn.
01 Introduction to the UNIHIKER
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