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2026-01-26

Micro-Defect Detection on TWS Earphones using Photometric Stereo

  • -45%
    False Rejection Rate
  • < 500ms
    Inspection Cycle Time per unit
  • 0.02mm
    Min. Defect Depth
Greeting and Assistance (6).png Greeting and Assistance (6).png
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  • Objec
    Earphone
  • Region
    Taiwan
  • Model
    DS081

Content

  • Project Background

  • Challenges

  • The Solution

  • Inspection Results

  • Client Value

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  • Project Background

    In the manufacturing of high-end consumer electronics, such as TWS (True Wireless Stereo) earphones, cosmetic quality is a critical factor influencing brand perception. However, automated inspection is notoriously difficult due to the product's curved geometry, highly reflective surfaces, and monochromatic (often pure white) designs.

  • Challenges

    Our client faced significant challenges with traditional 2D machine vision solutions:

    • Extremely Low Contrast: Under standard single-source lighting, shallow scratches or micro craters on white surfaces blend into the background, making them nearly impossible to detect.

    • Feature Confusion: Conventional imaging struggles to distinguish between harmless surface stains (2D color changes) and actual physical damage (3D depth changes), leading to high false rejection rates.


  • The Solution

    To overcome these limitations, we deployed a high-precision inspection solution based on Photometric Stereo technology. Unlike standard imaging, this system utilizes advanced computational photography to separate shape from texture.

    Technological Highlights:

    • Multi-Spectrum & Multi-Segment Illumination:The system utilizes a specialized lighting controller to rapidly capture multiple images under varying illumination angles and wavelengths.

    • Surface Normal Analysis:By processing the sequence of images, the algorithm reconstructs the Surface Normal Map (X/Y direction). This effectively generates a slope map of the surface, completely isolating physical defects from surface color or pattern interference.


  • Inspection Results

    The implementation of this solution achieved distinct visibility of micron-level defects on complex curved surfaces.

    • Standard Imaging (Left): Under normal lighting conditions, the defects are virtually invisible to the camera, resulting in potential quality escapes.

    • Photometric Stereo / Normal Map (Right): After algorithmic processing, the background noise is filtered out, revealing the defects clearly:

      • Scratch: Revealed as a distinct linear depth feature.

      • Crater: Identified clearly as a localized surface depression.

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  • Client Value

    The successful deployment of this system delivered immediate benefits to the production line:

    1. Enhanced Detection Rate: Successfully identified low-contrast defects (shallow scratches/dents) that were previously undetectable.

    2. Reduced False Positives: accurately distinguished between cosmetic stains and physical damage, saving costs on unnecessary scrap.

    3. Versatility: The solution is highly adaptable and has since been applied to other components, including charging cases, smartphone back covers, and precision injection-molded parts.


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    Proven in high-end production lines of top-tier companies. 

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    Unmatched Service & Reliability Guarantee

    Speedy response within 4h, solutions within 7 days, everything from fault diagnosis, part replacement to validation report.