Computer Vision

Computer Vision is a field of Artificial Intelligence (AI) that focuses on enabling machines to interpret and understand visual data from the world around us. It involves developing algorithms and techniques that allow machines to analyze, identify, and categorize images and videos, much like the human visual system.

Some of the techniques used in Computer Vision include:

• Image Processing: This involves manipulating digital images to improve their quality or extract relevant information. It includes techniques such as filtering, edge detection, and image segmentation.
• Object Detection: This involves detecting and localizing objects within an image or video stream.
• Image Classification: This involves categorizing images into predefined classes. It can be done using traditional machine learning algorithms such as Support Vector Machines (SVMs) or using deep learning-based techniques such as CNNs.
• Semantic Segmentation: This involves labeling each pixel in an image with a corresponding class label. It is used for tasks such as image understanding and scene understanding.
• Optical Character Recognition (OCR): This involves recognizing and converting printed or handwritten text from images into machine-readable text.

Computer Vision is used in a variety of applications such as autonomous vehicles, facial recognition, medical imaging, and surveillance systems. As technology advances, Computer Vision is becoming more accurate and sophisticated, enabling machines to perform increasingly complex visual tasks.