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4.1.2 Automatic Capture Camera
Introduction
When you are out, the little squirrels in the woods might visit your windowsill. Let’s make a automatic capture camera to leave pictures of these little cuties!
Required Components
In this project, we need the following components.
It’s definitely convenient to buy a whole kit, here’s the link:
Name |
ITEMS IN THIS KIT |
LINK |
|---|---|---|
Raphael Kit |
337 |
You can also buy them separately from the links below.
COMPONENT INTRODUCTION |
PURCHASE LINK |
|---|---|
- |
Schematic Diagram
T-Board Name |
physical |
wiringPi |
BCM |
GPIO17 |
Pin 11 |
0 |
17 |
Experimental Procedures
Before this project, you need to make sure you complete 3.1.1 Photograph Module .
Step 1: Build the circuit.
Step 2: Go into the Raspberry Pi Desktop. You may need a screen for a better experience, refer to: Connect your Raspberry Pi. Or access the Raspberry Pi desktop remotely, for a detailed tutorial please refer to Remote Desktop.
Step 3: Open a Terminal and get into the folder of the code.
cd ~/raphael-kit/python-pi5
Step 4: Run.
sudo python3 4.1.4_AutomaticCaptureCamera_zero.py
After the code runs, PIR will detect the surrounding environment, and if it senses the little squirrel passing by, the camera will take a photo. The photo interval is 3 seconds, and the total number of photos taken will be displayed through the print window.
There are two potentiometers on the PIR module: one is to adjust sensitivity and the other is to adjust the detection distance. To make the PIR module work better, you You need to turn both of them counterclockwise to the end.
Note
You can also open 4.1.4_AutomaticCaptureCamera_zero.py in the ~/raphael-kit/python-pi5/ path with a Python IDE, click Run button to run, and stop the code with Stop button.
Warning
If there is an error prompt RuntimeError: Cannot determine SOC peripheral base address, please refer to If gpiozero doesn’t work.
Code
Note
You can Modify/Reset/Copy/Run/Stop the code below. But before that, you need to go to source code path like raphael-kit/python-pi5. After modifying the code, you can run it directly to see the effect.
#!/usr/bin/env python3
from picamera2 import Picamera2, Preview
from gpiozero import MotionSensor
import time
import os
# Retrieve the current user's login name and home directory
user = os.getlogin()
user_home = os.path.expanduser(f'~{user}')
# Initialize the camera
camera = Picamera2()
camera.start()
# Initialize the motion sensor on GPIO pin 17
pir = MotionSensor(17)
try:
i = 1 # Initialize the image count
while True:
if pir.motion_detected:
# Capture an image when motion is detected and save it with a unique number
camera.capture_file(f'{user_home}/capture%s.jpg' % i)
print('The number is %s' % i) # Print the image count
time.sleep(3) # Wait for 3 seconds before next detection
i += 1 # Increment the image count
else:
print('waiting') # Print 'waiting' when no motion is detected
time.sleep(0.5) # Check for motion every 0.5 seconds
except KeyboardInterrupt:
# Stop the camera and turn off the LED if a KeyboardInterrupt occurs
camera.stop_preview()
pass
Code Explanation
Imports the
Picamera2andPreviewclasses for camera control, theMotionSensorclass for motion detection, and standard librariestimeandosfor time handling and operating system interactions.#!/usr/bin/env python3 from picamera2 import Picamera2, Preview from gpiozero import MotionSensor import time import os
Retrieves the current user’s login name and home directory for saving captured images.
# Retrieve the current user's login name and home directory user = os.getlogin() user_home = os.path.expanduser(f'~{user}')
Initializes the camera and starts it.
# Initialize the camera camera = Picamera2() camera.start()
Initializes a PIR motion sensor connected to GPIO pin 17.
# Initialize the motion sensor on GPIO pin 17 pir = MotionSensor(17)
Initializes a counter
ito track the number of images captured. In an infinite loop, checks if motion is detected. If motion is detected, captures an image, saves it with a unique name based on the counteri, prints the image number, and waits for 3 seconds before checking for motion again. The counteriis incremented after each capture.try: i = 1 # Initialize the image count while True: if pir.motion_detected: # Capture an image when motion is detected and save it with a unique number camera.capture_file(f'{user_home}/capture%s.jpg' % i) print('The number is %s' % i) # Print the image count time.sleep(3) # Wait for 3 seconds before next detection i += 1 # Increment the image count
If no motion is detected, prints
waitingand checks for motion every 0.5 seconds.try: ... while True: ... else: print('waiting') # Print 'waiting' when no motion is detected time.sleep(0.5) # Check for motion every 0.5 seconds
Catches a KeyboardInterrupt (like Ctrl+C) to stop the camera preview and exit the script gracefully.
except KeyboardInterrupt: # Stop the camera and turn off the LED if a KeyboardInterrupt occurs camera.stop_preview() pass