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Tacit Knowledge Graphic
Blog Post

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.

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Your Factory Knows More Than Any One Person
Blog Post

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

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Edge Video Analytics for Manufacturing Sites (2026)
Whitepaper

Edge Video Analytics for Manufacturing Sites (2026)

Most manufacturing sites already have cameras. They already generate video. And yet, the operational data locked inside those video streams rarely makes it into the systems that drive production decisions. The gap between what you can see on the floor and what your analytics actually capture is where productivity, safety, and capacity improvements stall. This whitepaper is about the future of edge video analytics for manufacturing sites. This Is Edge Video Analytics for Manufacturing Sites (2026).

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Your Best Process Engineer Can’t Watch 400 Stations
Blog Post

Your Best Process Engineer Can’t Watch 400 Stations

A line misses its production target. A workstation’s cycle time increases. Operators spend more time waiting for materials. A process that ran smoothly last month suddenly struggles to keep up. Find out more about how you can use visual intelligence at scale to detect outperforming and underperforming workstations.

Your Best Process Engineer Can’t Watch 400 Stations

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safety pyramid Leela AI
Blog Post

The Complete Guide to Reducing Industrial Safety Risk with Visual Intelligence

Most industrial plants already run a safety program: training, PPE policies, audits, and incident reporting. What most programs lack is a continuous view of what actually happens on the floor between audits. This guide explains how visual AI fills that gap, so teams can find and fix risks before they lead to injury. Learn more in this article about Reducing Industrial Safety Risk with Visual Intelligence

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Blog Post

Continuous Time Studies: Are Your Engineered Standards Still Accurate?

Conducting time studies takes time. An engineer may spend hours observing a single workstation, recording cycle times, categorizing activities, and analyzing the results. Multiply that effort across dozens of workstations, and maintaining accurate production standards becomes a significant engineering responsibility.

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