eTabspec is an advanced tablet inspection system designed for seamless integration with tablet counters and bottle packaging lines. Utilizing high-resolution cameras and AI-powered vision technology, it conducts a comprehensive 100% inspection, meticulously verifying each tablet for color, size, and shape. This ensures the elimination of any defective products, including those with shade variations, foreign matter, or physical damage. The system's high recognition capability extends to various solid dosage forms like tablets, capsules and caplets, with rapid online rejection of out-of-specification items.
Incorporating deep learning algorithms, eTabspec achieves unparalleled accuracy in defect detection, even with challenging low-contrast product and foil combinations. This AI-driven approach minimizes the need for human involvement in system training, as the machine autonomously learns and refines its inspection capabilities over time. By providing a robust and efficient solution for automated tablet inspection, eTabspec guarantees uncompromising quality control throughout the pharmaceutical packaging process
AI Based Features
- Leveraging advanced AI, eTapspec offers enhanced inspection and intuitive teaching capabilities
- eTabspec features an autonomous AI framework that intelligently learns and recognizes the visual characteristics of new tablet and capsule types.
- The system performs comprehensive inspection of all geometric and color attributes of tablets and capsules.
- For enhanced user support and traceability, eTabspec automatically stores batch-specific details of rejected items, including the identified defect type.
Benefits
Less manual measurement error
Less time to set machine
No stopping & no productivity loss
Database to improve process
De-duster for powder product
Features
Auto dimension measurement at product
Easy reading process
Special type rejection mechanism
Foreign detection report with image