Quality Assurance · Human Inspection Intelligence

Qi Screen

Professional Human Quality Inspection

Turn human inspection into clean quality data and clearly defined problems.

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

QI SCREEN · HUMAN INSPECTION TOUCH / CLICK THE CONDITION DEFECT TYPE Scratch LOCATION RH Surface DETAILS Visible under light. Approx. 25 mm. Found after station 40. HUMAN JUDGEMENT DATA STRUCTURED PROBLEM DEFINED CLEAN QUALITY DATA Comparable across part · shift · station CLEAR PROBLEM DEFINITION WHAT · WHERE · WHEN Context preserved at the source PROBLEM-SOLVING INPUT Define → Measure Better evidence before analysis begins

The human inspection gap

Experienced people see the problem. The system often fails to capture what they know.

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.

Observations become vague

“Bad part,” “noise,” “scratch” or “leak” may identify a concern without defining the condition well enough to act on it.

Data becomes cluttered

Free text, inconsistent categories and disconnected forms make comparison and prioritization harder than the inspection itself.

Problem solving starts weak

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

Keep human judgement. Add digital discipline.

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.

01 · INSPECT

Guide the human check

Structure visual, tactile, sensory and judgement-based checks around the part, area or condition being inspected.

02 · CAPTURE

Collect clean data

Use visual locations, defined defect categories and focused context instead of long forms and uncontrolled descriptions.

03 · DEFINE

Clarify the problem

Capture enough context to transform a broad observation into a manufacturing problem that engineers can understand.

04 · MEASURE

Build reliable evidence

Create organized inspection data for containment, focused studies and the Measure phase of structured problem solving.

Designed around how inspectors work

Capture the condition where the person actually sees it.

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.

Human inspection workspaceInspection active
Surface · ScratchFit · GapFinish · Mark
Visuallocation
Defineddefect type
Relevantcontext

Problem definition

A defect name is not a 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.

VAGUE INPUT

“Water leak.”

A real concern, but too broad to define the manufacturing condition, location or pattern.

→
STRUCTURED PROBLEM

Leak observed at a defined interior location, on a defined product group, under a defined condition.

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

Professional data collection before analysis begins.

01 · OBSERVE

Human judgement

The inspector sees, feels, hears or otherwise identifies a quality condition that requires human interpretation.

02 · STRUCTURE

Digital capture

The observation is recorded against defined locations, conditions and defect categories with only the context that matters.

03 · DEFINE

Problem clarity

The data describes a more precise problem instead of leaving the next team to interpret a generic defect label.

04 · USE

Quality evidence

Organized records become useful for prioritization, containment, repair analysis and structured problem solving.

Where human inspection matters

One disciplined approach across different quality applications.

PRODUCTION

Inline & offline inspection

Structured human checks at stations, inspection points or dedicated offline quality areas.

SENSORY QUALITY

Visual, tactile & sensory checks

Capture appearance, feel, sound and other conditions where experienced human judgement remains essential.

REPAIR

Repair intelligence

Understand what is actually being repaired, where it is found and which conditions consume repeated repair effort.

SORTING

Material sorting & containment

Organize inspection during sorting, containment or incoming-quality activity so disposition data remains useful afterward.

PROBLEM SOLVING

Focused data studies

Collect clean temporary data for DMAIC, PDCA or other structured problem-solving methods without creating a permanent manual process.

AUDIT / OBSERVATION

Human quality observations

Use disciplined capture wherever the value comes from what a trained person observes rather than from an automated sensor.

Measure-phase quality dataStructured
WHATDefect / condition
WHEREPart / station / area
CONTEXTShift / model / process
PARETOPrioritize the loss
PATTERNSee concentration
BASELINEMeasure before action

Better inputs for problem solving

Define clearly. Measure reliably. Then solve.

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.

Temporary by design

Set up focused collection for a specific issue, trial or containment without turning it into permanent administrative work.

Comparable evidence

Standardized inputs make shifts, products, locations and periods easier to compare.

Repair & sorting intelligence

Capture what the quality system usually loses after the part leaves the station.

Repair bay

Understand the work behind the repair number.

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.

DefectLocationRepair typeStationProduct
Sorting & containment

Make temporary inspection produce permanent learning.

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.

AcceptedRejectedDefect typeLot / sourceEvidence

ORCALEAN Quality Assurance

A connected product family for different quality-control problems.

HUMAN INSPECTION

Qi Screen

Professionalize human visual, sensory, repair and sorting inspection while producing clean structured quality data.

AI INSPECTION

Qi Screen AI Vision

Apply AI-powered visual inspection where automated detection and consistent machine vision can strengthen quality assurance.

Explore AI Vision →
QUALITY INTELLIGENCE

Qi Loop

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

Capture quality problems clearly at the moment they are found.

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.