Data & ML · Do Directory
Top computer vision engineers, active now
Computer vision lets software understand images and video: spotting defects on a production line, counting stock on shelves, reading meters and labels, checking site safety or sorting photos from field visits. Modern models make this far cheaper than it was a few years ago.
Real-world conditions are the challenge. Look for an engineer who asks about lighting, camera angles and edge cases, and who tests on images from your own site rather than tidy samples.
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Questions
Computer vision: common questions
What kind of projects suit computer vision?
Repetitive visual checks that people find tedious or inconsistent: quality inspection, counting, reading text from photos, measuring, and detecting whether something is present or missing. Clear, repeatable camera set-ups give the best results.
Do we need special cameras or hardware?
Not always. Many projects start with phones or existing CCTV. Fast-moving lines or very small defects may need better cameras, lighting or a small on-site computer, and a good engineer will advise before you buy anything.
What about people appearing in the footage?
Images of identifiable people are personal data under UK GDPR, and facial recognition carries extra legal risk. Ask how the system avoids capturing or storing faces where it doesn’t need to, and complete a data protection impact assessment.
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