Computer Vision Introduction

Computer vision is a rapidly evolving field that focuses on enabling computers to interpret and understand visual information from the world around us. This technology has applications in various domains, from autonomous vehicles to medical imaging.

Key Concepts

Image Processing: The manipulation of images to enhance or extract useful information.
Pattern Recognition: The ability of a computer to recognize patterns in data.
Deep Learning: A subset of machine learning that uses neural networks to model complex patterns in data.

Applications

Autonomous Vehicles: Computer vision helps in detecting objects, recognizing road signs, and understanding the environment.
Medical Imaging: It aids in diagnosing diseases by analyzing medical images such as X-rays and MRI scans.
Security: Computer vision systems can be used for facial recognition and surveillance.

Resources

For more in-depth information on computer vision, you can explore our comprehensive guide on Computer Vision Basics.