Insights from AMV

Practical perspectives on machine vision, automated inspection and AI for manufacturing leaders and engineers.

The Cognitive Gap: Deep Learning for Reliable, Production-Grade Quality Outcomes

Quality and engineering leaders routinely manage inspection tasks where natural variation, material complexity or subjective criteria make rule-based systems unreliable. These tasks require judgement rather than fixed thresholds. This is the Cognitive Gap, and it is a common constraint in food, FMCG and industrial manufacturing.

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Beyond the Smart Camera: Why Out-of-the-Box Vision Systems Struggle in Real Manufacturing

Almost every manufacturing leader has experienced an automation solution that looked simple in principle, but proved difficult in practice.

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