Beauty / Cosmetics / Visual Inspection / Image Processing

Image Processing Inspection System for Beauty Devices

Glossy and curved parts changed how scratches and stains appeared, causing variation in manual judgment.

Image ProcessingVisual Inspection照明設計組み込みUI

Results Summary

1

Stable inspection quality: AI-based judgment dramatically reduces human error

2

Reduced workload: Automated recording and assessment cuts labor hours

3

Fast PoC-to-production: Evaluation kit enables rapid validation and smooth transition

Customer Challenge

Glossy and curved parts changed how scratches and stains appeared, causing variation in manual judgment.

Implementation Overview

Background

Appearance quality strongly affects beauty device value. Small scratches and stains matter, while glossy curved surfaces make them difficult to see consistently.

Challenges

  • Reflection on glossy surfaces made defects hard to see
  • Judgment criteria varied by inspector
  • Inspection images were needed for quality improvement

Implemented Solution

Camera, lighting, fixture, image-processing judgment and review UI were combined to stabilize defect visibility.

  • Industrial camera module
  • Lighting and fixture design
  • Image processing algorithm
  • Judgment UI and log storage

Rollout

  1. Sample Analysis
    Good and NG samples were captured to review defect visibility.
  2. Imaging Fix
    Lighting angle, exposure and part position were tuned.
  3. UI Review
    Display and logs were organized for inspector operation.

Operational Change

  • Standardized inspection conditions helped reduce judgment variation
  • Image records made defect trends easier to review
  • Evaluation criteria became reusable for new models

Expansion

Additional models, advanced AI judgment and quality-system integration can be reviewed.

Discuss Similar Inspection

Share product samples with appearance issues and we can start from imaging-condition evaluation.

Results & Impact

Imaging conditions and judgment UI were organized so inspectors could review parts by a more consistent standard.

Why CSUN

1

Integrated camera, embedded, AI, and connectivity: System-level optimization, not piecemeal

2

One-stop from PoC to mass production: Prototype evaluation → design → production → long-term supply

3

Flexible design for real-world constraints: Adapts to existing lines, lighting conditions, and space limits

4

Trilingual support (JP/ZH/EN): Global development, sourcing, and support capabilities

Related Solutions & Products

From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.

Discuss a Similar Case

FAQ

Can this work in a similar production environment?

In most cases, yes. Please share sample images and requirements from your site. We'll propose the optimal configuration based on similar cases.

Can I consult just for a PoC?

Absolutely. We welcome PoC-only engagements. Our evaluation kit enables rapid validation.

Can we validate without stopping our existing line?

Yes. Add-on cameras or non-invasive sensors allow validation while your existing line keeps running.

Can you help with camera selection?

Yes. We'll recommend the optimal camera module based on your target objects, lighting conditions, and inspection criteria.

Facing a similar challenge?

From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.