13.6 Computer Vision Real-world Applications

Real systems rarely use one technique alone; they chain several. A document app might use image processing to clean a scan, detection to find the text block, OCR to read it, and classification to decide the document type. Across industries, computer vision now powers healthcare imaging, agriculture, retail, security, manufacturing and self-driving cars.

Deploying vision: from camera input through the model to a decision, with monitoring over time.

In Ethiopian agriculture, a phone app can photograph a maize or teff leaf, classify whether it shows a disease, and advise the farmer in Amharic, all running partly on the phone so it works with weak connectivity. This blends image processing, classification and a friendly local-language interface.

Scenario

A clinic's vision app was accurate in testing but mislabels images from a new rural camera with poor lighting. What is the likely cause?

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Real computer vision products often combine several techniques rather than using just one.