Creating a Vision Detection Algorithm In Python Using Webcam Input

Introduction

In today’s technology-driven world, vision detection algorithms are becoming increasingly important across various industries. From autonomous vehicles to security systems, the ability to detect and interpret visual information is crucial. In this blog post, we’ll walk through the process of creating a vision detection algorithm using webcam input. We’ll be using Python and OpenCV, a powerful library for computer vision tasks.

Prerequisites

Before we dive in, make sure you have the following installed on your system:

• Python 3.x
• OpenCV
• NumPy

You can install OpenCV and NumPy using pip:

pip install opencv-python numpy

Setting Up the Webcam

First, let’s set up our webcam to capture video input. We’ll use OpenCV to access the webcam and read frames from it.

import cv2

def capture_video():
    # Open a connection to the webcam (0 is usually the default webcam)
    cap = cv2.VideoCapture(0)
    while True:
        # Capture frame-by-frame
        ret, frame = cap.read()
        # Display the resulting frame
        cv2.imshow('Webcam', frame)…