Paint Surface Defect Inspection System

Leading Inspection Methods and Technologies
Overcoming Inspection Challenges of High-Gloss Paint Surface
AI algorithms enable fast and efficient model training, 
significantly improving inspection speed

  • Designed for paint surface defect detection and precise localization in the Paint Shops and Final Assembly Shops of automotive OEMs.It effectively addresses issues such as missed detections and false inspections caused by visual fatigue from prolonged manual work under high-intensity lighting.The system generates individual inspection reports for every vehicle. The accumulated defect data serves as a powerful basis for decision-making in quality control and process optimization, significantly elevating the level of intelligent production management.

  • Supports full color range inspection, including two-tone body inspection

    Low overall cost; lightweight image acquisition system enables the use of 
    lower-payload robotic arms

    Supports both tracking and stop-and-go inspection modes with a compact 
    footprint

    No hardware modification required for new vehicle models; automatically adapts to different body curvatures on the production line

    Max: 60 JPH real-time online inspection, adaptable to different production 
    takt times

  • ≥2mm

    Detectable Defect Types

    Dust Particles

    Ostrich Feathers

    Scratches

    Fibers

    Rust Ash

    Shrinkage Holes

    Paint Residue

    Pinholes

    Sheet Metal Dents

    Sheet Metal Bulges

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    Real-time online inspection synchronized with production takt time, no line stoppage required, ensuring high detection efficiency

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    Provides comprehensive process data support by objectively recording inspection data and visualizing large-scale accumulated data to analyze defect root causes, enabling effective process optimization
    Micron-level inspection enabled by high-resolution cameras, capable of consistently detecting defects smaller than the human visual threshold
    High-precision defect localization with overall positioning accuracy within 3 mm, providing data interfaces for subsequent automated polishing and repair equipment
    Lifetime use: after a single machine learning process, no repeated training is required for new vehicle models, significantly reducing training costs

  • ≤38℃
    No Conductive Dust

    5%-70%
    No Condensation

    Ambient Humidity

    0℃-35℃


    Electrical Cabinet 
    Operating Temperature

    Ambient Temperature

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    Region Definition
    Vehicle 3D models can be segmented 
    into customizable component regions 
    with user-defined naming

    Region Level & Defect Level
    Defect grades can be customized by 
    combining region levels with defect 
    area information

    Defect Details
    Clicking defect icons on the 3D 
    image displays detailed information 
    including region level, size, and area

    3D Defect Annotation
    Defect coordinates detected by AI algorithms 
    are digitally mirrored onto the 3D model, with 
    defect levels differentiated by customizable 
    colors for intuitive visualization

    Defect Detection Images
    Using horizontal stripe, vertical stripe, and 
    white light inspection modes, the system 
    adapts to different body curvatures and detects 
    both shape-related and shape-independent 
    paint surface defects

    Vehicle Model Information
    Integrates with existing OEM systems 
    to automatically retrieve vehicle 
    information

Technical Service

Quick Response

Full Tracking

Lifetime Service

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