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Industrial AI Solution

InnerScan AI

Detecting invisible defects
through sound and vibration —
a new standard in industrial quality control.

Why We Built This

Why do you need
InnerScan AI?

Limitations of conventional inspection methods

camera

Camera-based visual inspection

Can only detect surface defects

visual

Manual visual inspection

Subject to operator bias and fatigue

block

Unable to detect internal defects

Invisible defects pass throughthe production line.

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AI

After implementing InnerScan AI

acoustic

Acoustic signal analysis

Detects subtle sound patterns

vibration

Vibration data monitoring

Identifies internal structural anomalies

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Real-time detection of internal defects

AI instantly detects the productionof invisible defective products.

Detection accuracy of 99.2%

increase

Core Values

InnerScan AI Core Values

Next-generation defect detection solutionthrough sound and vibration signal analysis

Internal Defect Detection

Internal Defect Detection

Early detection of internal defects
invisible to the naked eye

check99.2% Accuracy
Spectral Analysis
Real-time Defect Blocking

Real-time Defect Blocking

Instantly detects defects during production
and halts the line

check0.5s Response
Collision Alert System
Early Equipment Anomaly Detection

Early Equipment Anomaly Detection

Predictive maintenance through pattern analysis

check30-day Forecast
Vibration Pattern Analysis
Quality Standardization

Quality Standardization

Reduced operator dependency,
consistent quality maintenance

checkWithin ±2% Deviation
Production Metrics

Detection Accuracy

99.2%

Defect Rate Reduction

45%

Equipment Anomaly Prediction

30 days

System Architecture

InnerScan AI How Works

1

Sensor Layer

(Sensor Layer)
mic
Directional Microphone
Directional Microphone
Active
vibration
Vibration Accelerometer
Vibration Accelerometer
Active
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2

Data Processing Layer

(Data Processing)
noise
Noise Filtering
Noise Filtering
picture
Pattern Extraction
Pattern Detection
chart
Spectrogram
Spectrogram
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3

AI Analysis Layer

(AI Analysis)
noise
Real-time Anomaly Detection
Normal Signal: 87%
Abnormal Signal: 13%
chart
Defect Index
Internal Crack: Detected
Equipment Degradation Progress: 78%
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4

User Interface

(User Interface)
picture
Dashboard
alarm
Alert Popup
app
Process Map
data
Data Storage
NormalCautionWarning
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5

Execution Layer

(Action Layer)
facility
Automatic Equipment Shutdown
Line Protection
alarm
Operator Alert
Immediate Response
data
Quality Data Storage
History Management
flow arrow
effect leftA complete quality management cycle is achieved.effect right

Live Monitor

Real-time MonitoringDashboard

An integrated monitoring system for instant equipment status overview and immediate response

Live Monitor Dashboard
Live Monitor
Live Monitor
Real-time Monitoring
Updates every 0.5 seconds
Instant Alerts
Instant Alerts
Instant Alerts
Automatic SMS/email notifications
Trend Analysis
Trend Analysis
Trend Analysis
Daily/weekly/monthly data analysis
Quality History
Quality History
Quality History
Complete data storage and retrieval

Industry Impact

Industrial Implementation Impact

InnerScan AI performance metricsvalidated in real manufacturing environments

Defect Rate
3.2%
Before
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1.8%
After
Equipment Uptime
78%
Before
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94%
After
Claim Costs
8.2M
Before
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3.1M
After
Work Safety
82 pts
Before
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96 pts
After
Line Downtime
124H
Before
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38H
After
Quality Uniformity
8.5%
Before
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1.8%
After
Overall Implementation Impact
-45%
Defect Rate Reduction
+16%
Uptime Increase
-62%
Claim Costs
-69%
Line Downtime
99.2%
Detection Accuracy
₩ 487,000,000
Annual Cost Savings
6.2 months
Return on Investment (ROI)

Target Industries

Quality innovation driven by InnerScan AI across diverse manufacturing and industrial sites

InnerScan AI

AI Platform

Electronics

Semiconductor & Electronics

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Bonding quality verification

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Micro-crack detection

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Joint anomaly detection

Automotive

Automotive Manufacturing

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Internal crack detection

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Weld quality verification

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Assembly anomaly detection

Metals

Metal & Machinery

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Equipment anomaly prediction

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Bearing wear detection

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Gear micro-defects

Energy Plants

Energy Plants

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Turbine health diagnostics

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Early pipeline leak detection

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Preventive maintenance

Robotics

& Logistics

Robotics & Logistics

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Motor anomaly diagnostics

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Drive wear prediction

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Operational stability

Construction

Construction & Heavy Equipment

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Hydraulic pump anomalies

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Structural defect detection

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Safety monitoring

InnerScan AI

InnerScan AI — elevate your quality competitiveness
to the next level.

A next-generation defect detection system that diagnoses invisible defects through sound and vibration