In today’s beverage industry, Track and Trace is essential for efficiency, compliance, and consumer trust. Data Matrix laser codes on glass bottles enable seamless product tracking from the filling line to the retail shelf. However, production realities—such as surface variations, neck imperfections, and curved geometries—can make code reading unreliable.
The FILTEC CodeTrack DM Inspector (patent pending) solves this challenge with precision. Purpose-built for returnable glass bottles, it delivers fast, accurate, and repeatable inspection directly on the bottle neck. By verifying every code in real time, CodeTrack DM strengthens traceability, reduces errors, and protects your brand reputation
Advanced Technology:
The CodeTrack DM uses multi-camera vision, optimized illumination, and parallel image processing to ensure reliable inspection at high speeds. Designed specifically for glass, it handles the unique challenges of bottle surfaces and color variations.
Key technological highlights include:
360° Multi-Camera Coverage: Eight HD cameras capture images at 45° intervals, eliminating blind spots.
Glass-Optimized Imaging: Advanced optics and calibration handle neck imperfections and transparent materials.
LED Matrix Illumination: Adjustable lighting enhances legibility of low-contrast codes on clear and colored glass.
High-Speed Processing: Parallel computing ensures performance up to 72,000 bottles per hour.
User-Friendly Interface: A touchscreen HMI with auto-calibration, laser alignment, and intuitive graphics simplifies setup and operation
Operational benefits of CodeTrack DM include:
- Error Prevention: Detects missing, unreadable, or misaligned codes before products leave the line.
- Regulatory Compliance: Helps meet industry standards for product identification and traceability.
- Reduced Risk of Recalls: Eliminates costly errors and protects consumer safety.
- Efficiency at Scale: Maintains accuracy at the highest production speeds, supporting up to 72,000 bottles per hour.
- Secure Data Management: Inspection results can be captured, stored, and transferred to private servers or cloud systems for long-term visibility and plant-level integration
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