Anhui Keye Intelligent Technology Co., Ltd
Anhui Keye Intelligent Technology Co., Ltd
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7Cameras Smart PharmaBottle AI Analyzer with LIBS
The Innovative Wrinkle Print Label Inspection Machine redefines quality control in pharmaceutical packaging with AI-driven precision and multi-camera accuracy. Equipped with 6 high-resolution cameras and advanced machine vision algorithms, this system ensures zero tolerance for wrinkles, misprints, or labeling errors—guaranteeing compliance, brand integrity, and patient safety.
✔ 6 Synchronized High-Speed Cameras – 360° inspection of labels, foils, and sleeves at ultra-high production speeds.
✔ AI-Powered Wrinkle Detection – Deep learning identifies micro-folds, creases, ink smears, and adhesion defects invisible to the human eye.
✔ Real-Time Rejection System – Instantaneous removal of non-conforming products with <0.01% error rates.
✔ GMP/ISO-Compliant Reporting – Automated documentation for 21 CFR Part 11, EU Annex 1, and serialization requirements.
✔ Adaptive Lighting & Optics – Patented illumination technology eliminates glare for even holographic or metallic labels.
✔ Plug-and-Play Integration – Compatible with bottling, blister, and syringe packaging lines.
Wrinkle/crease detection in foil, PVC, or paper labels
Print quality validation (barcodes, expiry dates, Braille)
Tamper-evident seal inspection
Counterfeit prevention via micro-text verification
Multi-language label compliance checks
Traditional vision systems miss subsurface wrinkles or glossy-surface defects—our AI+6-camera synergy captures every flaw while reducing false rejects by 90%. Ideal for vaccines, injectables, and high-value biologics, it’s the smartest shield against packaging recalls.
Eliminate labeling defects before they reach patients—upgrade to AI-driven precision today!
(Request a live demo to see the system in action.)
Customization Options:
Add LIBS (Laser-Induced Breakdown Spectroscopy) for material authentication if needed.
Specify throughput speeds (e.g., 400 bottles/min) for tailored performance data.
Let me know if you'd like to emphasize regulatory benchmarks (e.g., FDA PQRI) or industry-specific use cases!