Visual quality inspection
Support structured inline, offline and surface inspection with a visual experience designed for the factory floor.
Quality Assurance · AI-Powered Inspection
Qi Screen AI Vision
Quality inspection that sees more—and helps your teams improve faster.
Bring visual inspection, structured defect capture and AI-assisted quality intelligence into one manufacturing system. Detect issues consistently, understand where quality is moving and focus improvement where it matters most.
Visual inspection · Defect intelligence · Faster containment · Quality improvement
The quality gap
Inspection alone does not improve quality.
Plants often have inspection points, defect data and experienced people—but the information is fragmented, inconsistent or too slow to influence the process. Qi Screen AI Vision is built to turn quality inspection into usable quality intelligence.
Inspection varies
Different people can interpret the same condition differently, especially in visual and surface-quality applications.
Defect data loses context
Counts alone rarely explain enough. Location, appearance, model, shift and process context matter.
Reaction comes too late
When quality signals are buried in reports, teams lose time before containment and improvement begin.
AI-assisted quality inspection
Make every inspection point more consistent, more visual and more useful.
Build richer defect data
Capture the condition with the right visual and process context instead of reducing quality problems to a simple count.
See recurring patterns
Use AI-assisted intelligence to surface meaningful defect patterns, concentration points and changes that deserve attention.
Focus the quality response
Give quality and operations teams a clearer signal for containment, problem solving and sustained improvement.
Built around the inspection point
See the defect in context—not just in a spreadsheet.
Qi Screen AI Vision keeps quality visual. Teams can work from the part, condition or inspection area itself, making defect capture easier to understand and more useful for downstream analysis.
The objective is simple: reduce ambiguity at the point of inspection and preserve the information needed to improve the process later.
ZONE 04 · CHECKDEFECT · DETECTED
VisualInspection
StructuredDefect data
ConnectedQuality signal
Quality assurance with operating purpose
Move beyond pass / fail toward systematic quality improvement.
Qi Screen AI Vision is designed to strengthen the quality system around the inspection process—making defects easier to detect, easier to understand and harder to ignore.
More repeatable inspection
Reduce ambiguity and create a more disciplined visual inspection process across people and shifts.
Earlier quality signals
Bring emerging defect conditions into view before they become larger downstream problems.
Faster containment focus
Help teams identify where attention is needed and respond while the condition is still actionable.
Better quality learning
Turn inspection history into patterns and insights that support stronger problem solving and prevention.
Quality intelligenceAI assisted
DEFECT TREND
QUALITY SIGNALPattern
emerging
emerging
Recurring condition concentrated in a defined product / process context.
WhereLocation / area
WhenShift / time
WhatDefect / condition
From data to intelligence
Help quality teams ask better questions, faster.
Instead of searching through disconnected inspection records, AI-assisted analysis helps teams recognize meaningful trends and recurring quality conditions across the data they already capture.
The result is not more dashboards. It is a clearer understanding of where quality is changing and where the organization should focus.
Quality improvement loop
Connect inspection to the work that follows.
The value of inspection increases when the signal can move naturally into containment, analysis and sustained improvement.
Identify the condition
Make the quality check visual, structured and easier to perform consistently.
Preserve defect context
Capture enough information to understand what happened without burdening the operator.
Recognize the signal
Surface concentration, recurrence and changing patterns across inspection history.
Focus corrective action
Direct teams toward the quality conditions that have the greatest operating relevance.
Manufacturing applications
Designed for quality inspection where visual context matters.
Inline inspection
Support quality checks close to the process while production is running.
Offline inspection
Structure inspection activity in dedicated quality, audit or verification areas.
Surface quality
Capture defects across stampings, plastics, paint, body panels and other visual surfaces.
Containment & sorting
Create clearer defect visibility during focused quality containment activity.
Rework & repair
Preserve visual quality information around recurring repair and rework conditions.
Supplier & launch quality
Strengthen inspection intelligence during supplier quality activity and critical launch periods.
Build quality intelligence into inspection
Make every quality check contribute to better performance.
Tell us where visual inspection creates the most risk, variation or delay in your process. We will discuss how Qi Screen AI Vision can fit into your quality system.