Brand appearance plays a significant role in consumer choice, and the manufacturer competes against larger players with much deeper marketing budgets.

Robot sales have surged over the last few years as companies in every industry recognize robotics and automation can help them compete globally. 

There is a lot of attention given to the growth of automation, specifically to robotics and artificial intelligence (AI), and its potential impact on the economy and the work force, current and future.

Autonomous machine vision inspection provides quick, automated defect recognition and can implement the knowledge it gains, thereby decreasing false alarms and erroneous scrap.

Manufacturers and brand owners are under tremendous pressure to ensure premium end-to-end product quality, especially as consumers increasingly demand perfection. And a great deal of that product quality pressure still falls on human visual inspection.

While artificial intelligence (AI) is gaining favor as a solution to quality problems, it brings a number of new, sometimes confusing, terms. As a first step, many manufacturers ask “What is AI?”

Deep learning has become a useful tool in the integration and implementation of machine vision systems in the automation environment.