Machine vision: what it means.
A machine-vision system combines image capture with processing to inspect, measure or locate features. Cognex describes the roles of lighting, optics, image sensors and vision processing within that chain. (Cognex: machine-vision components)
A camera alone provides image data. The application must interpret the image for its task. Likewise, a processor or AI model cannot compensate for every problem in how the scene is illuminated or captured. (Cognex: machine-vision components)
Put the definition to work.
A robot locating a component before picking it is a useful example. Machine vision is a system capability, not the name of one camera chip or AI model. (Cognex: machine vision)
Questions to ask next.
Use these questions as a reading checklist, not as a device-selection recommendation. Exact manufacturer documentation takes priority over a general definition.
- Lighting, optics and sensor
- Task and acceptance criteria
- Processing, interfaces and operating environment
For the broader explanation, explore the electronics inside robots. This page defines the term; the companion guide connects it to the rest of the system.
Common Machine vision questions.
Is machine vision always based on a neural network?
The term describes the image-based system capability, not a mandatory algorithm. Identify the actual processing method and validate it against the intended inspection or guidance task. (Cognex: machine-vision components)