Grundlagen

Computer Vision

Definition

A field of AI that enables machines to interpret and understand visual information from the world—images, video, and sensor feeds. It underpins applications from quality-control cameras on factory floors to facial recognition and autonomous vehicle perception.

Beispiele

Defect detection in manufacturing
Retail shelf analytics
Medical imaging diagnosis

Verwandte Begriffe

Deep Learning

A subset of machine learning based on artificial neural networks with multiple layers. Deep learning can learn complex patterns from large amounts of data and is particularly effective for image recognition, speech processing, and natural language understanding.

Physical AI

AI systems that perceive and act in the physical world through robotics, autonomous vehicles, smart manufacturing equipment, and industrial sensors. Physical AI integrates computer vision, reinforcement learning, and real-time control to automate tasks previously requiring human dexterity and judgment in unstructured environments.

Vision Transformer (ViT)

An adaptation of the transformer architecture to image data, treating fixed-size image patches as tokens. ViTs now outperform convolutional networks on many computer vision benchmarks and are used in medical imaging, satellite analysis, and industrial quality control.

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