OLD WAYS
What manual process intelligence measures
It is not a digital scorecard for people. Its useful unit is the operation: the workstation, line, shift, product variant or process condition.
Where does work wait, and for how long?
Which steps vary most from the standard sequence?
How much time is assembling versus walking, searching or reworking?
Where do human-machine handoffs break down?
Did an improvement produce a sustained change?
How is manual process data collected?
Manufacturers can combine digital work instructions, connected tools, operator inputs, sensors and privacy-conscious computer vision. Peer-reviewed work on real-time recognition of manual operations shows how vision can convert activity into process events without wearables.
Capture only what helps explain the process. Avoid facial recognition, individual rankings and unnecessary personal data.
THE SOLUTION
From raw events to improvement
Establish the normal process and expected flow.
Detect deviations, delays and recurring loss patterns.
Connect each event to its production context.
Prioritize the constraint with the greatest operational impact.
Test a change and verify whether the gain holds.
This turns continuous improvement from a periodic study into a daily capability.
Why smart factories need human-process data
NIST describes smart manufacturing as linking data across people, processes and things. If human-led operations remain outside that model, the factory is connected only in sections.
Machine data explains what equipment did. Manual process data explains what happened between machines and in the operations machines do not perform.
RESULTS
Frequently asked questions
Is manual process intelligence workforce monitoring?
No. Workforce monitoring evaluates people. Manual process intelligence evaluates how work flows through a production system.
Does it replace MES or OEE?
No. It complements them by adding operational context for human-led work.
Where should a manufacturer start?
Start with one constrained process where the gap between plan and actual output is visible but the cause is not.
Make the invisible part of production measurable
Optifye converts existing camera infrastructure into process intelligence for human-led operations—helping teams understand flow, find constraints and verify improvement. See what is happening between the machines.