What computer vision does
Computer vision models detect, classify and measure things in images and video: a product on a shelf, a defect on a part, text on a receipt or a person entering a room. Recent models can also describe an image in plain language and answer questions about it.
Practical uses today
- Document processing: reading invoices, receipts, IDs and forms, then extracting the fields you need
- Quality control: spotting scratches, missing parts or labelling errors on a production line
- Retail and stock: checking shelf availability and counting inventory from photos
- Healthcare support: helping specialists review scans, always with a clinician making the decision
- Accessibility: generating image descriptions for people using screen readers
What makes a project succeed
- Representative images: the training and test images must look like real working conditions, including bad lighting and odd angles
- A clear success measure: for example, the share of defects caught and the rate of false alarms
- A plan for mistakes: what happens when the model is unsure, and who checks it
Privacy matters
Video of people is personal data in most countries. Collect only what you need, tell people when cameras are used, store footage securely and delete it on a schedule.
Start with one narrow problem
Pick a single, well-defined task with a visible cost today, such as manual data entry from invoices. Prove the value there before expanding. Narrow projects deliver results; vague "AI vision" projects rarely do.