Tag: manufacturing AI

Tacit Knowledge Graphic

The Engineer Who Knows Everything Has No Time to Explain It

Experienced manufacturing engineers often hold knowledge that never makes it into work instructions, such as which stations fall behind and why, and that knowledge can leave with them. Training new engineers gets squeezed out by production emergencies, so newcomers piece together how a plant works slowly and inefficiently. Continuous camera-based measurement of production activity can give engineers a searchable history of cycle times, waiting, and shift differences, so they can ask sharper questions and spend less time gathering basic observations. That frees experienced engineers to focus on the judgment-heavy problems and on teaching the next generation. This is why the engineer who knows everything has no time to explain It.

Read More
Your Factory Knows More Than Any One Person

Your Factory Knows More Than Any One Person

No one person understands an entire factory, and much of what disrupts production, like late material carts or idle workstations, never appears in machine, ERP, or MES data. Visual intelligence from existing cameras can measure activities such as waiting, cycle times, and operator presence, adding a missing layer of context to the data manufacturers already collect. Paired with the Leela AI Assistant, which lets anyone ask plain-language questions about measured production activity, it helps more people understand how their operations behave without replacing the experience of those who know the floor best. Your factory knows more than any one person

Read More