Computer Vision

Executive Definition: Computer Vision — A field of AI that enables computers to interpret, analyze, and make decisions based on visual data like images and videos.

Computer vision models generally rely on Convolutional Neural Networks (CNNs) or Vision Transformers (ViTs) to perform tasks such as image classification, object detection, and semantic segmentation. These systems allow software to automate processes that previously required human visual inspection.

Frequently Asked Questions

What business problems does computer vision solve?

Common applications include automated quality inspection, optical character recognition (OCR), security surveillance, medical imaging diagnosis, and autonomous navigation.

How much data do I need to train a CV model?

Pre-trained models can be fine-tuned with hundreds of labeled images. Training a new model from scratch typically requires tens of thousands of labeled examples.

Can computer vision work in real-time?

Yes. Optimized models can process high-resolution video feeds at 30 or more frames per second, enabling real-time applications such as manufacturing defect detection.