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Industrial AI Solution

InnerScan AI

The new benchmark in industrial quality management
that detects even invisible defects
using sound and vibration

Why We Built This

Why do you need
InnerScan AI?

Limitations of Traditional Inspection Methods

camera

Camera-based visual inspection

Only capable of detecting surface defects

visual

Manual visual inspection

Affected by inspector subjectivity 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

Detection of subtle sound patterns

vibration

Vibration data monitoring

Identifies internal structural anomalies

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Real-time detection of internal defects

AI instantly detects defective productswith invisible flaws during production.

Detection accuracy of 99.2%

increase

Core Values

InnerScan AI Core Values

Next-generation defect detection solution that identifies flawsin the production stage through acoustic 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 stops the line immediately

check0.5s Response
Collision Alert System
Early Detection of Equipment Anomalies

Early Detection of Equipment Anomalies

Predictive maintenance using vibration pattern analysis

check30 Days Early Prediction
Vibration Pattern Analysis
Quality Standardization

Quality Standardization

Reduces worker dependency, minimizes inspection variation,
and maintains consistent product quality

check±2% Variation
Production Metrics

Detection Accuracy

99.2%

Defect Rate Reduction

45%

Equipment Anomaly Prediction

30 days

System Architecture

InnerScan AI Operating Principle

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 Dashboard
Internal Crack: Detected
Defect Detection Rate: 78%
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4

User Interface

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

Execution Layer

(Action Layer)
facility
Automatic Equipment Shutdown
Line Protection
alarm
Operator Notification
Immediate Response
data
Quality Data Logging
History Management
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effect leftThe perfect quality management cycle is now complete.effect right

Live Monitor

Real-time MonitoringDashboard

An integrated control system that enables at-a-glance monitoring of equipment conditions 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

Proven performance metrics of InnerScan AIvalidated in real manufacturing environments

Defect Rate Reduction
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 Stoppage Time
124H
Before
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38H
After
Quality Uniformity
8.5%
Before
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1.8%
After
Overall Impact
-45%
Defect Rate Reduction
+16%
Uptime Increase
-62%
Claim Costs
-69%
Line Stoppage Reduction
99.2%
Detection Accuracy
₩ 487,000,000
Annual Cost Savings
6.2 months
Payback Period (ROI)

Applicable Industries

Quality innovation created by InnerScan AI across various manufacturing and industrial sites

InnerScan AI

AI Platform

Electronics

Semiconductor & Electronics

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Bonding quality verification

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Detection of microscopic defects

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Soldering 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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Early detection of microscopic defects

Energy Plants

Energy Plants

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Turbine integrity diagnosis

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Early detection of pipe leakage

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Preventive maintenance

Robotics

& Logistics

Robotics & Logistics

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Motor anomaly diagnostics

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Gearbox wear prediction

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Operational safety assurance

Construction

Construction & Heavy Equipment

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Hydraulic pump anomaly detection

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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.

The next-generation defect detection system that identifies even invisible flaws using sound and vibration