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INDUSTRIAL AI MONITORING PLATFORM

Detect product defectsin real time as they are produced.

Inner Scan uses AI on sound and vibration data to find invisible equipment defects for industrial quality control. Non-destructive inspection and defect prediction help factories cut defect rates and improve inspection efficiency.

Monitor product condition and predict defects before they happen, powered by sensor data and AI analysis.

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Detect product defects in real time as they are produced.

Product defects strike without warning.

Many industrial sites still rely on operator experience.

But signals of product defects appear in the data as they occur.

InnerScan AI was built to solve this. AI analyzes data in real time, catches early warning signs, and helps prevent defective products from being produced.

MONITORING DASHBOARD

Real-time monitoring dashboard

KEY FEATURES

99.2%Accuracy

Feature 01

Internal Defect Detection

AI detects micro-defects during manufacturing in real time, minimizing losses caused by internal defects.

3.5sResponse

Feature 02

Real-Time Defect Blocking

Detects early defect patterns on the line and blocks defective units before they reach downstream processes.

97.8%Accuracy

Feature 03

Early Detection of Equipment Anomalies

Identifies warning signs from equipment sensors in advance, preventing unexpected shutdowns.

1.2%Unclassified rate

Feature 04

Quality Classification

Automatically classifies quality grades from production data and visualizes quality trends.

HOW IT WORKS

01

Discover

Connect sensor data sources across your industrial site.

02

Process

Collect and preprocess data in real time.

03

Analyze

AI models learn and analyze patterns.

04

Detect

Anomalies are detected automatically.

05

Alert

Early alerts are sent and reports are generated.

-BUSINESS IMPACT-

Proven performance metrics validated in real manufacturing environments

Proven performance metrics of InnerScan AI, validated in real manufacturing environments.

Raise your quality competitiveness with AI-driven analysis.

-45%

Defect Rate Reduction

+16%

Equipment Uptime Improvement

99.2%

Detection Accuracy

-69%

Anomaly Detection Time

₩487,000,000

Annual Cost Savings

6.2 months

Payback Period (ROI)

INDUSTRIES

Applicable across a wide range of industries.

Electronics

Electronics

Semiconductor & electronics manufacturing

Automotive

Automotive

Automotive parts production

Metals

Metals

Metal processing & steel

Robotics & Logistics

Robotics & Logistics

Logistics automation equipment

Energy Plants

Energy Plants

Power plants & energy infrastructure

Construction

Construction

Construction equipment & cranes

InnerScan AI elevates your quality competitivenessto a whole new level.

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