Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable
Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable
The Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable is a bundled product designed for the Raspberry Pi Zero W and WH models. This comprehensive package includes a durable enclosure case and a dedicated camera cable, providing a convenient and efficient way to integrate the Raspberry Pi Zero into various IoT projects.
| + Material | Durable plastic |
| + Dimensions | 65 x 30 x 10 mm (L x W x H) |
| + Weight | 20g |
The case is made of high-quality, durable plastic that ensures longevity and resistance to wear and tear.
The enclosure is specifically designed to fit the Raspberry Pi Zero W and WH boards, providing a snug and secure fit.
The case features carefully designed access holes for the USB ports, HDMI connector, and other essential components, ensuring easy access and connectivity.
The enclosure has ventilation holes to facilitate airflow and heat dissipation, preventing overheating and ensuring the Raspberry Pi Zero's optimal performance.
The case provides mounting points for easy installation and attachment to surfaces, making it suitable for various IoT applications.
| + Length | 150mm |
| + Connector Type | CSI (Camera Serial Interface) |
| + Compatibility | Raspberry Pi Zero W and WH models |
The camera cable is 150mm in length, providing sufficient distance to connect the camera module to the Raspberry Pi Zero while keeping the setup compact.
The bundle ensures compatibility between the Raspberry Pi Zero and camera module, ensuring optimal performance and functionality.
| The Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable bundle offers several benefits, including |
The bundle provides a comprehensive solution for Raspberry Pi Zero projects, eliminating the need to source separate components.
The enclosure case and camera cable are designed to work together seamlessly, making it easy to set up and deploy IoT projects.
| The Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable is ideal for various IoT projects, including but not limited to |
Robotics and automation
Computer vision and machine learning
Home automation and security systems
Industrial monitoring and control systems
Educational projects and prototyping
Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable
============================================================Description:
The Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable is a compact and versatile IoT component that combines the Raspberry Pi Zero W, a miniature single-board computer, with a durable enclosure and a 15-pin CSI camera cable. This component is ideal for building small-scale IoT projects that require computer vision, remote monitoring, and wireless connectivity.Specifications:Raspberry Pi Zero W:
+ Processor: Broadcom BCM2835 SoC
+ RAM: 512 MB
+ Storage: microSD card slot
+ Wireless: IEEE 802.11b/g/n Wi-Fi and Bluetooth 4.1
+ GPIO: 28-pin header
Enclosure:
+ Material: Durable plastic
+ Dimensions: 65 x 30 x 10 mm
+ Weight: 20 grams
Camera Cable:
+ Type: 15-pin CSI (Camera Serial Interface)
+ Length: 150 mm
+ Compatibility: Raspberry Pi camera modulesCode Examples:
### 1. Basic Camera Capture using PythonThis example demonstrates how to use the Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable to capture an image using the Raspberry Pi camera module.Hardware Requirements:Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable
Raspberry Pi camera module (e.g., v2.1)Software Requirements:Raspberry Pi OS (latest version)
Python 3.x
Python libraries: `picamera` and `RPi.GPIO`Code:
```python
import picamera
import time# Initialize the camera
camera = picamera.PiCamera()# Set camera resolution and framerate
camera.resolution = (640, 480)
camera.framerate = 30# Capture an image
camera.capture('image.jpg')# Release the camera
camera.close()
```
### 2. Real-time Object Detection using TensorFlow LiteThis example demonstrates how to use the Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable to perform real-time object detection using TensorFlow Lite.Hardware Requirements:Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable
Raspberry Pi camera module (e.g., v2.1)Software Requirements:Raspberry Pi OS (latest version)
TensorFlow Lite (latest version)
Python 3.x
Python libraries: `tflite_runtime` and `RPi.GPIO`Code:
```python
import tflite_runtime.interpreter as tflite
import numpy as np
import cv2# Initialize the camera
camera = cv2.VideoCapture(0)# Load the TensorFlow Lite model
interpreter = tflite.Interpreter(model_path='model.tflite')
interpreter.allocate_tensors()# Get input and output tensors
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()while True:
# Read a frame from the camera
ret, frame = camera.read()
if not ret:
break# Preprocess the frame
frame = cv2.resize(frame, (224, 224))
frame = frame[:, :, [2, 1, 0]] # Convert to RGB
frame = frame.tolist()# Set the input tensor
input_data = np.array(frame, dtype=np.float32)
interpreter.set_tensor(input_details[0]['index'], input_data)# Run the model
interpreter.invoke()# Get the output tensor
output_data = interpreter.get_tensor(output_details[0]['index'])
scores = output_data[:, :, 1]# Perform non-maximum suppression
boxes = []
for score in scores:
if score > 0.5:
# Draw a bounding box around the detected object
x, y, w, h = score
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)# Display the output
cv2.imshow('Object Detection', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break# Release the camera and resources
camera.release()
cv2.destroyAllWindows()
```
These examples demonstrate the versatility of the Raspberry Pi Zero W-WH Enclosure- Case and Camera Cable in various IoT applications, including computer vision, remote monitoring, and machine learning.