Machine vision is a system that uses cameras, lighting, and image-processing software to inspect parts, measure features, or guide robot motion automatically, often outputting pass/fail decisions or position offsets to other equipment. In quality control plans, inspection machine manuals, and integration specifications, it is specified for tasks such as defect detection, part presence checks, barcode reading, or optical character recognition.
Inspection software interfaces and camera configuration manuals are common places where machine vision appears in localization. Translators must handle region-of-interest labels, lighting setup terminology, and statistical terms such as false accepts and false rejects without losing the distinction between inspection and guidance. It also occurs in traceability content that links vision results to part serial numbers.
A common error is using “computer vision” or “camera inspection” interchangeably with machine vision without noting the industrial context. This can blur distinctions between academic image analysis and factory-floor inspection, leading to wrong UI terminology or marketing claims that do not match the equipment’s actual function. The problem is noticeable when translating help files for vision tools used in high-speed sorting.
The EU Machinery Directive requires documentation in the language of the destination market. Safety-related terms must map exactly to the wording of the governing standard.
Angel Translation locks terms like this into a project terminology base before expert review begins, so the same source term resolves to the same target term across every document in a submission — and stays consistent in the next revision. See the 8-step AI + expert workflow.
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