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- Computer Vision
Computer Vision
Computer vision is a field of technology in which AI analyzes and understands images and video captured through cameras or sensors, giving computers visual recognition capabilities similar to those of humans. It involves recognizing what is present in images or video and performing tasks such as classification, detection, tracking, and segmentation. This technology is primarily realized through deep learning models — particularly convolutional neural networks (CNNs) — and more recently through architectures such as Vision Transformers (ViTs). Major application areas of computer vision include: • Perception in autonomous vehicles (pedestrians, traffic signals, lane markings, etc.) • Medical image analysis and diagnostic support • Anomaly detection and person tracking in surveillance camera footage • Face recognition and gesture recognition for authentication and control • Customer analytics and cashierless checkout in retail Computer vision is a foundational technology for digitizing and structuring visual information from the real world, and it plays a central role in AI applications.