Guide the human check
Structure visual, tactile, sensory and judgement-based checks around the part, area or condition being inspected.
Quality Assurance · Human Inspection Intelligence
Qi Screen
Professional Human Quality Inspection
Qi Screen professionalizes visual, sensory and judgement-based quality inspection on the factory floor. Inspectors capture what they actually see in a structured digital environment—creating cleaner data, clearer problems and stronger inputs for quality improvement.
Human inspection · Structured data · Clear problem definition · Repair & sorting intelligence
The human inspection gap
Visual and sensory inspection still depends on human judgement in many manufacturing processes. The loss happens when observations become check marks, handwritten notes, vague defect names or disconnected spreadsheets.
“Bad part,” “noise,” “scratch” or “leak” may identify a concern without defining the condition well enough to act on it.
Free text, inconsistent categories and disconnected forms make comparison and prioritization harder than the inspection itself.
When the Define and Measure inputs are poor, teams spend valuable time recreating information that should have been captured at the source.
Professional human quality inspection
Qi Screen creates a controlled inspection environment that makes quality observations faster to enter, easier to understand and significantly more useful after the inspection is complete.
Structure visual, tactile, sensory and judgement-based checks around the part, area or condition being inspected.
Use visual locations, defined defect categories and focused context instead of long forms and uncontrolled descriptions.
Capture enough context to transform a broad observation into a manufacturing problem that engineers can understand.
Create organized inspection data for containment, focused studies and the Measure phase of structured problem solving.
Designed around how inspectors work
Qi Screen keeps data entry close to the physical condition. Inspectors can identify the area, classify the defect and add the context that matters without navigating a cluttered quality form.
The objective is not to collect more information. It is to collect the right information in a repeatable way.
Problem definition
Good quality data preserves enough specificity for the next person to understand what actually happened. Qi Screen helps capture that definition at the point of observation instead of reconstructing it days later.
A real concern, but too broad to define the manufacturing condition, location or pattern.
The issue now carries the context needed for containment, measurement and focused problem solving—without forcing the inspector to write an essay.
From observation to usable intelligence
The inspector sees, feels, hears or otherwise identifies a quality condition that requires human interpretation.
The observation is recorded against defined locations, conditions and defect categories with only the context that matters.
The data describes a more precise problem instead of leaving the next team to interpret a generic defect label.
Organized records become useful for prioritization, containment, repair analysis and structured problem solving.
Where human inspection matters
Structured human checks at stations, inspection points or dedicated offline quality areas.
Capture appearance, feel, sound and other conditions where experienced human judgement remains essential.
Understand what is actually being repaired, where it is found and which conditions consume repeated repair effort.
Organize inspection during sorting, containment or incoming-quality activity so disposition data remains useful afterward.
Collect clean temporary data for DMAIC, PDCA or other structured problem-solving methods without creating a permanent manual process.
Use disciplined capture wherever the value comes from what a trained person observes rather than from an automated sensor.
Better inputs for problem solving
Qi Screen can serve as the structured data-collection layer during a quality investigation. Teams establish a cleaner baseline, understand concentration and preserve frontline observations before moving deeper into analysis.
Set up focused collection for a specific issue, trial or containment without turning it into permanent administrative work.
Standardized inputs make shifts, products, locations and periods easier to compare.
Repair & sorting intelligence
A repair count says little about what failed, where it was found or what repair activity was required. Qi Screen structures those findings so recurring repair demand becomes visible and usable.
Sorting can consume significant labor and still leave behind poor data. Qi Screen organizes results so the exercise supports clear disposition, problem definition and future prevention.
ORCALEAN Quality Assurance
Professionalize human visual, sensory, repair and sorting inspection while producing clean structured quality data.
Apply AI-powered visual inspection where automated detection and consistent machine vision can strengthen quality assurance.
Explore AI Vision →Connect customer, OEM, plant and supplier quality signals into a closed intelligence loop focused on warranty and total quality cost.
Explore Qi Loop →Professionalize human inspection
Tell us where human inspection, repair, sorting or focused data collection creates the most ambiguity in your plant. We will discuss how Qi Screen can create a cleaner and more disciplined quality process.