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AI Insights

How Does Computer Vision Work in AI? Workflow, Techniques, and Use Cases at Azumo

Computer vision uses CNNs and Vision Transformers to convert images into numerical data, detect patterns, and produce outputs like object classifications, bounding boxes, or extracted text. The full pipeline spans seven stages from data input to deployment, with real-time systems processing frames in tens to a few hundred milliseconds, depending on the application. This guide covers five core techniques, including classification, detection, segmentation, OCR, and facial recognition, with use cases in healthcare, manufacturing (98-99% defect detection), and autonomous vehicles.