21

2026

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05

AI-Based Semantic Segmentation System for Intelligent Identification and Analysis of Crystals and Impurities

Author:

Chongfan Technology


I. Project Overview

Targeting crystal material inspection, microscopic image analysis, and industrial quality‑control applications, this solution leverages AI‑based semantic segmentation to enable automatic identification of crystals and impurities in a single high‑resolution image, along with pixel‑level segmentation, quantitative analysis, and visualized output.

Core Values : Upgrading manual visual interpretation to automated, data-driven, and quantifiable intelligent analysis.


II. System Capabilities

Input : Single high-definition microscopic image (supports magnifications from 50x to 500x)

AI semantic segmentation → Automatically distinguish between crystal regions, impurity regions, and the background.

Quantized output :

● Number of crystals, total area, and proportion

● Number of impurities, single-point area, and total affected area

● Graded by area/diameter (mild/moderate/severe)

Visualized Delivery : Three-panel display of the original image, segmentation mask, and annotation statistics, with annotations in different colors.


III. Technical Highlights

Advantage Explanation
Multi-scale adaptation 50x–500x stable segmentation
Overlapping processing Addressing the issue of misjudgments in crystal overlap detection
Pixel-level accuracy Direct area calculation based on a mask
Impurity Classification Yellow/Orange/Red Color Grading
Traceable results Archiving of original images, masks, annotation maps, and statistical tables.

IV. Application Scenarios

Crystal Material Inspection | Microscopic Image Analysis | Defect Detection | Industrial Vision Quality Inspection | Experimental Data Archiving


V. Exhibition

 

VI. Services and Support

Our company offers long-term, customized development, technical consulting, and deployment services for AI‑based semantic segmentation–driven intelligent systems for crystal and impurity identification and analysis. Whether it’s high‑precision impurity detection in laboratory settings or real‑time analysis requirements on industrial production lines, we can respond swiftly, delivering end‑to‑end solutions that span algorithmic models to software‑hardware integration.

If you have any related requirements or technical inquiries, please feel free to contact us at any time:

  • 📞 Hotline: 13658337211

  • ✉️ Email address: Sales@cfkeji.net

  • 🌐 Online Message: Official Website’s “Contact Us” Page

We will assign a senior engineer to provide one-on-one support, helping you efficiently address the challenge of intelligent crystal and impurity identification.

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