| Inspection Method | Image Processing |
| Inspection Objects | Products or Parts |
| Inspection Lighting | LED Lighting |
| Inspection Camera | High Resolution Camera |
| Inspection Accuracy | High Accuracy |
| Packaging Details | Fumigation-Free Wood |
| Delivery Time | 6 To 8 Weeks |
| Payment Terms | T/T Or F/C |
| Supply Ability | 1 Set Per 4 Weeks |
| Inspection System | Automated System |
| Inspection Environment | Dust-free Environment |
| Inspection Speed | High Speed |
| Inspection Type | Visual Inspection |
| Inspection Software | Customizable Software |
| Application | Industrial Quality Control |
| Inspection Output | Defect Detection Report |
| Inspection Interface | User-friendly Interface |
| Inspection Resolution | High Resolution |
| Model Number | KY-PE-C10 |
| Place of Origin | China |
| Brand Name | KEYE |
| Certification | ISO/CE |
View Detail Information
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Product Specification
| Inspection Method | Image Processing | Inspection Objects | Products or Parts |
| Inspection Lighting | LED Lighting | Inspection Camera | High Resolution Camera |
| Inspection Accuracy | High Accuracy | Packaging Details | Fumigation-Free Wood |
| Delivery Time | 6 To 8 Weeks | Payment Terms | T/T Or F/C |
| Supply Ability | 1 Set Per 4 Weeks | Inspection System | Automated System |
| Inspection Environment | Dust-free Environment | Inspection Speed | High Speed |
| Inspection Type | Visual Inspection | Inspection Software | Customizable Software |
| Application | Industrial Quality Control | Inspection Output | Defect Detection Report |
| Inspection Interface | User-friendly Interface | Inspection Resolution | High Resolution |
| Model Number | KY-PE-C10 | Place of Origin | China |
| Brand Name | KEYE | Certification | ISO/CE |
| High Light | Hyperspectral Imaging Vision Inspection Machine ,FMCG Vision Inspection Machine ,FMCG automated vision inspection system | ||
AI Printing Label Defect Detection Machine
Our advanced Printing Label Defect Detection System integrates hyperspectral imaging and deep learning to deliver uncompromising quality control for labels across pharmaceutical, FMCG, and industrial packaging lines. Engineered for high-speed production environments, this AI vision solution achieves 99.99% detection accuracy at speeds up to 300 meters/minute.
Core Technology:
Multi-modal imaging: 8K line-scan cameras (x3) with coaxial, dome, and UV lighting
Defect-recognition AI: Convolutional Neural Networks trained on 5M+ defect samples
Real-time spectral analysis: 10-band hyperspectral imaging (400-1700nm)
Technical Specifications:
Resolution: 12µm/pixel @ 300m/min
Accuracy: 6σ process capability (Ppk ≥2.0)
Lighting: Adaptive LED arrays (0-100,000 lux)
Inspection Width: 50-1000mm adjustable
Industry 4.0 Integration:
Real-time SPC dashboards with OEE analytics
Automated PDF/EUDR reports with blockchain audit trails
SECS/GEM, OPC UA, and MQTT protocols
One-click changeover for 200+ label types
Validated against ISO 12647-2 (color standards) . Optional modules include:
✅ Variable data verification (GS1 Datamatrix)
✅ Tamper-evident seal inspection
✅ Migration substance detection (UV-VIS)
Target Applications:
▶ Pharma serialization labels ▶ Luxury brand holograms ▶ Chemical GHS warnings ▶ Food freshness tags
This future-proof solution detects defects invisible to human inspectors while achieving ROI in 4 months through scrap reduction and recall prevention.![]()
Company Details
Business Type:
Manufacturer,Exporter,Seller
Year Established:
2011
Total Annual:
15000000-30000000
Employee Number:
280~300
Ecer Certification:
Site Member
KEYETECH is a national-level specialized small giant enterprise focusing on the R&D and application of AI technology. Established in 2011, located in the national science and technology innovation city of Hefei, the R&D personnel account for more than 30% of all employees(290+), co... KEYETECH is a national-level specialized small giant enterprise focusing on the R&D and application of AI technology. Established in 2011, located in the national science and technology innovation city of Hefei, the R&D personnel account for more than 30% of all employees(290+), co...
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