Computer Vision 101: A Comprehensive Overview
Published in
5 min readApr 26, 2024
Computer vision is a field of artificial intelligence that deals with enabling computers and systems to derive meaningful information from digital images, videos, and other visual inputs β and take appropriate actions or make relevant recommendations based on that information. It involves acquiring, processing, analyzing, and understanding digital images and videos to produce numerical or symbolic information.
Applications of Computer Vision
Computer vision has a wide range of applications across various domains, including:
- Autonomous Vehicles: Object detection, lane detection, pedestrian detection, and traffic sign recognition for self-driving cars.
- Healthcare: Medical image analysis, tumor detection, and surgical robot guidance.
- Security and Surveillance: Face recognition, license plate recognition, and object tracking.
- Augmented Reality and Virtual Reality: Object tracking, 3D reconstruction, and pose estimation for AR/VR applications.
- Robotics: Object recognition, localization, and navigation for robotic systems.