During the Association for Advancing Automation (A3) Vision Week in June 2020, experts from Amazon Web Services and Elementary Robotics weighed in on the traditional challenges organizations face when using machine vision. They discussed how to incorporate the latest advances—including the cloud—to make the process easier, faster, and able to solve seemingly unsolvable quality inspections.

Difficult quality inspections across industries have traditionally relied on manual inspections. Although it may be easy to put a person at the end of a production line, humans are inherently subjective and prone to error. Machine vision has proven itself as a valuable tool to address those issues while also lowering the costs of inspection.

“The industry has shifted to machine learning for some challenging problems,” says Dan Pipe-Mazo, CTO at Elementary Robotics. “We might have inconsistent product, but it’s hard to quantify or qualify rules. We might have examples when you train a system, but it has limited defects. Assuming we have a challenging product, we have a challenging configuration. With machine learning, it is no longer rules-based configuration.”

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