Raspberry Pi 3 Camera Lamp

Raspberry Pi 3 Camera Lamp Documentation

Overview

The Raspberry Pi 3 Camera Lamp is a versatile component that integrates a camera, LED lamp, and Raspberry Pi 3 single-board computer. This device enables various applications, including computer vision, machine learning, and robotics. The camera captures high-quality images and videos, while the LED lamp provides adjustable lighting for optimal image capture or ambient lighting.

Hardware Specifications

Camera:
	+ 8 megapixel Sony IMX219 camera sensor
	+ 3280 x 2464 pixels resolution
	+ 1080p video recording at 30fps
 LED Lamp:
	+ 3W LED with adjustable brightness
	+ 3000K-5000K color temperature range
 Raspberry Pi 3:
	+ Quad-core Cortex-A53 CPU
	+ 1GB RAM
	+ Wi-Fi, Bluetooth, and Ethernet connectivity

Software Support

The Raspberry Pi 3 Camera Lamp is compatible with various programming languages, including Python, Java, and C++. This documentation focuses on Python examples, as it is the most popular language used with Raspberry Pi.

Example 1: Basic Camera Capture

This example demonstrates how to capture a still image using the camera module in Python:
```python
import picamera

# Create a camera object
camera = picamera.PiCamera()

# Set camera settings
camera.resolution = (640, 480)
camera.framerate = 30

# Capture an image
camera.capture('image.jpg')

# Close the camera object
camera.close()
```
Example 2: Object Detection with OpenCV

This example showcases the use of OpenCV library to detect objects in real-time using the camera module:
```python
import cv2

# Create a camera object
cap = cv2.VideoCapture(0)

while True:
    # Capture a frame
    ret, frame = cap.read()

# Convert frame to gray scale
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# Load OpenCV cascade classifier for face detection
    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# Detect faces in the frame
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)

# Draw rectangles around detected faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

# Display the output
    cv2.imshow('face_detection', frame)

# Exit on pressing 'q'
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release resources
cap.release()
cv2.destroyAllWindows()
```
Example 3: LED Lamp Control

This example demonstrates how to control the LED lamp's brightness using Python:
```python
import RPi.GPIO as GPIO

# Set up GPIO mode
GPIO.setmode(GPIO.BCM)

# Define LED lamp pin
LED_PIN = 18

# Set up LED lamp pin as an output
GPIO.setup(LED_PIN, GPIO.OUT)

# Create a PWM object
pwm = GPIO.PWM(LED_PIN, 50)  # 50 Hz frequency

# Set LED lamp brightness (0-100)
def set_brightness(brightness):
    pwm.start(brightness)
    pwm.ChangeDutyCycle(brightness)

# Example usage
set_brightness(50)  # Set brightness to 50%

# Clean up
GPIO.cleanup()
```
These examples demonstrate the capabilities of the Raspberry Pi 3 Camera Lamp and provide a foundation for more complex projects.