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Shenzhen Chaoguang is a high-tech company that integrates integrated circuit manufacturing, sales, and services, serving many enterprises such as Huawei, BYD, and DJI

Industrial Inspection

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Multispectral technology has widely replaced traditional single‑mode visual inspection solutions in industrial scenarios, evolving into a next‑generation quality control system featuring material‑level precision, high accuracy and full‑process automation. It covers the whole industrial chain including incoming material inspection, in‑process production testing and finished‑product quality verification. Its core value lies in detecting subtle defects, distinguishing material authenticity and judging quality grades, which effectively reduces omission and false‑positive rates, and improves production efficiency and product yield.

Core Application Scenarios & Technical Implementation

1. Surface Defect and Internal Hidden Damage Inspection

For precision components, plates, coatings and packaged parts, micron‑level subtle defects and invisible internal damages are identified through spectral differences, solving industry pain points that cannot be detected by traditional visual systems.
  • Precision manufacturing defect detection: Precisely locates micron‑level defects such as scratches and coating bubbles on 3C electronic shells, cold solder joints and impurities on PCBs, surface damages and material contamination of semiconductor wafers, as well as pole‑piece breakage, copper leakage, impurities and diaphragm defects of new‑energy battery electrodes.
  • Identification of same‑color heterogeneous defects: Distinguishes defects with identical appearances but different materials, compositions or thicknesses, such as invisible metal corrosion, internal plastic cracks, internal glass bubbles and uneven coating thickness, avoiding potential product failure risks in later use.
  • High‑speed global‑shutter imaging: Compatible with high‑speed automated production lines, it delivers blur‑free and distortion‑free imaging for moving workpieces, supporting real‑time online inspection for mass‑production scenarios.

2. Material Sorting and Authenticity Verification

Based on unique spectral signatures of different substances, it realizes automated material classification, authenticity verification and composition analysis, replacing manual sorting to improve efficiency and reduce labor costs.
  • Intelligent sorting of recyclable resources: Rapidly classifies plastics, metals, paper and glass, and distinguishes different types of plastics and alloys, supporting high‑precision automated recycling sorting for environmental protection and circular economy applications.
  • Incoming raw material quality inspection: Detects the purity, impurities and composition of plastic pellets, metal powder, chemical raw materials and building materials, so as to control raw material quality from the source.
  • Food and pharmaceutical authenticity screening: Grades medicinal materials, detects grain mildew, screens pesticide residues on fruits and vegetables, and identifies abnormal food additives to realize rapid non‑destructive quality inspection.

Challenges
Solutions
Value

Traditional RGB vision only detects surface features, unable to distinguish same‑color heterogeneous defects, internal hidden damages and material impurities; manual inspection has low efficiency, high omission rate and unstable standards; high‑end precision inspection equipment is costly and difficult to popularize.

Adopt multispectral material‑level sensing technology to build a full‑process automated quality control system covering incoming materials, production and finished products, realizing micron‑level high‑precision detection, intelligent sorting and data‑driven quality management.

Reduce inspection labor costs and product failure risks, improve production yield and operational efficiency, empower enterprises with digital intelligent manufacturing capabilities, and form core technological competitiveness in precision manufacturing.