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Computer vision is a subset of artificial intelligence (AI) that enables machines to interpret and understand visual data. It uses machine learning (ML) techniques to recognize patterns, detect objects, and make predictions based on images or videos. So, while computer vision is part of AI, it often relies on ML algorithms.

Here are a few common examples of computer vision: Facial recognition for security and authentication. Self-driving cars that detect and interpret road signs, lanes, and obstacles. Medical image analysis for detecting diseases. Automated quality inspection in manufacturing. AR filters in social media apps like Instagram and Snapchat.

The Popular programming languages used in computer vision include: Python: Widely used due to its rich libraries, like OpenCV, TensorFlow, and PyTorch. C++: Known for its speed, making it ideal for real-time applications. Java: Used for building cross-platform computer vision applications. MATLAB: Commonly used in academia for image processing and analysis.