AI

Automated Quality Inspection Process

Automation

IRS builds integrated automation systems
where AI makes quality decisions and robots perform tasks directly,
even in unstructured and high-complexity processes.

From Detection → Decision → Response, All in One Flow

Multimodal Data-Based AI Quality Inspection Model Shape deviation and defect detection based on vision, 3D, and process data
01
Autonomous Work AI for Unstructured Processes Object variation recognition and real-time adjustment of work paths and parameters
02
Flexible AI-Robot Integrated Cell System Integrated automation of fitting, welding, and inspection within a single cell
03
Automated Weld Bead Recognition and Autonomous Welding for Railway Vehicles Unstructured weld bead recognition with autonomous welding and inspection
04
Integrated Field Validation and Reliability Verification System Validation of autonomous operation accuracy and inspection reliability with continuous model enhancement
05

Applications

Unmanned automation of high-risk, high-complexity welding and assembly processes
Automated inspection for HMLV environments in shipbuilding and plant industries
Automated surface defect detection and enhanced inspection of finished products and components
Weld quality inspection and autonomous welding for large and medium-sized components such as motor housings
Autonomous welding and inspection based on automated weld bead recognition for railway vehicles
Consistent Quality Standards Reduced reliance on manual inspectors
and consistent quality assessment standards
Expanded Automation Scope Extending automation to unstructured processes
with significant variations
Safety & Productivity Unmanned operation of high-risk welding and inspection tasks
for enhanced safety and productivity
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