With the continuous improvement of drug quality supervision requirements by 2026 and the increasing automation in the pharmaceutical industry, visual inspection equipment has transformed from a mere "optional" component into a "standard feature" of solid dosage form production lines. Whether detecting surface defects in tablets or foreign matter in capsules and soft capsules, choosing the right equipment directly impacts drug compliance and corporate reputation.
When preparing procurement plans, facing numerous suppliers, what key performance indicators should pharmaceutical companies focus on?
Below are 10 essential parameters that must be considered, compiled based on current technological trends.
1. Production Flexibility & Multi-Dosage Compatibility
Modern pharmaceutical companies pursue "multi-functionality." When purchasing equipment, it's crucial to assess its adaptability to different dosage forms:
- Tablets: Confirm whether it supports uncoated tablets, sugar-coated tablets, and film-coated tablets, especially its ability to detect engraved tablets (with character recognition).
- Capsules/Soft Capsules: Focus on whether the equipment can handle transparent capsules, opaque capsules, and two-color capsules.
- Switching Efficiency: Focus on the "three-in-one" rapid switching capability. Ideally, the equipment should be able to complete the changeover of different specifications and software parameter calls within 30 minutes.
2. Throughput & Scalability (Output per Hour)
When procuring, production capacity should be matched to the actual packaging line speed, with a 20% redundancy allowance.
Low capacity requirements: For example, the SED-YPJ Tablet & Capsule Inspection Machine is suitable for small to medium scale operations, with a throughput of approximately 20,000 tablets/hour.
Medium to high capacity requirements: The SED-YSJT-E Series Automatic Pharmaceutical Tablet Visual Inspection Machine can reach 200,000 to 400,000 tablets/hour, suitable for medium to high production needs.
3. 360° Total Surface Coverage
Defects in solid dosage forms are often hidden on the sides or at the capsule seams.
Inspection Dimensions: The equipment must achieve "six-sided inspection." Using multi-camera arrays or rotating mirror technology, ensure there are no blind spots on the bottom, top, and circumference.
Field of View (FOV): For online inspection of blister packaging machines, the FOV must cover the entire mold width, ensuring that the imaging distortion rate of edge particles is less than 1%.
4. Optical Resolution & Sub-Pixel Accuracy
In 2026, high-resolution (8K/12K) cameras will be the foundation, but algorithms will be the core:
- Subpixel processing: Does the device possess subpixel algorithms? This determines whether the device can break through the physical pixel limit and detect microcracks <50μm.
- Dynamic focus compensation: For irregularly shaped pieces or soft capsules, the device needs to have a large depth of field or autofocus capabilities to solve the problem of out-of-focus areas on curved surfaces.
5. Specialized Softgel Algorithms
Soft capsules pose significant challenges to imaging systems due to their oily reflectivity, transparency, and deformability.
Specialized Testing: Whether the system possesses dedicated algorithms to address oil leakage, internal air bubbles, and seam cracking.
Light Source System: A multi-angle LED strobe light source or structured light is required to effectively eliminate high-light suppression caused by the oil film.
6. AI & Deep Learning Integration
This is the dividing line between traditional and smart devices.
Algorithm Architecture: Focus on whether a Convolutional Neural Network (CNN) is integrated.
Value Proposition: AI can learn the natural variations in normal products (such as subtle fluctuations in coating color), thereby significantly reducing the false rejection rate while maintaining a high detection rate and shortening the teaching time for new products.
7. Balancing LDR (Leakage) and FRR (False Rejects)
These two parameters directly determine the profit margin and risk level of production.
Industry Benchmark: Mainstream equipment should commit to: LDR of 0% for critical defects (foreign objects, missing corners), LDR of <0.01% for appearance defects, and FRR controlled within 0.1%.
Adjustable Threshold: Is the quality manager allowed to quickly fine-tune the sensitivity threshold for different batches (color fluctuations caused by changes in raw material batches)?
8. Advanced Rejection & Classification
Simply removing defective products is insufficient; precise sorting provides data support for process improvement.
Multi-bin rejection: The equipment should support the sorting of defects (such as appearance defects, dimensional errors, and mixed chemicals) and their placement in different rejection bins.
Rejection verification: Equipped with a "rejection confirmation" sensor to ensure that every defective product has indeed left the qualified product track.
9. Data Integrity & 21 CFR Part 11 Compliance
For pharmaceutical companies that have passed international audits (such as FDA/GMP), this is an entry-level requirement.
- Audit Trail: Records every modification to testing parameters, user login, and alarm log.
- Access Control: Supports multi-level electronic signatures and access control.
- Network Protocol: Supports OPC UA or MQTT protocols for seamless data exchange with MES/SCADA systems.
10. Hygienic Design & GMP Maintenance
Visual inspection equipment is typically located before filling or packaging and must meet cleanroom standards.
Material Requirements: Components in contact with pharmaceuticals must be made of 316L stainless steel or FDA-compliant polymer materials.
Maintenance: Tool-less design with no blind spots to prevent cross-contamination.
Conclusion
When purchasing tablet or capsule appearance inspection equipment, you are not just buying a machine, but a complete pharmaceutical quality assurance system. To ensure the equipment meets production needs, it is recommended to prepare the most representative defect samples before purchasing and request the supplier to conduct an on-site FAT (Factory Acceptance Test) to verify the inspection accuracy and stability.
As a leading global manufacturer of visual inspection equipment, we focus on providing visual inspection systems that integrate AI deep learning and high-precision imaging. Whether your needs are for tablets, hard capsules, or soft capsules, we can provide customized solutions that meet the latest industry standards of 2026. For consultation or procurement, please contact our expert team to obtain a tailor-made intelligent inspection solution to ensure your production quality and compliance.