Several critical components need to come together to form a machine vision system. This includes the sensor (typically within a camera) that captures a picture for inspection, the processing hardware (a PC or vision appliance) and software algorithms to render and communicate the results. In addition, lighting, staging, and lenses are required to set up a machine vision system.

Machine vision systems can automate complex or mundane visual inspection tasks and precisely guide handling equipment during product assembly. Some of the many machine vision applications for quality inspection include positioning, identification, verification, measurement, and flaw detection. Unlike human inspectors who can process only so much information at a time, a machine vision system will work tirelessly performing 100% online inspection, resulting in improved product quality, higher yields, and lower production costs. High quality, together with consistent product appearance and functionality, drive a positive customer experience and ultimately market share.