1. 1. Top shape and cosmetics
2. Color Code Ring
3. OPC
4. Body
5. Particles
6. Bottom
Visual Inspection
There is no one-size-fits-all approach to pharma visual inspection. Each product has specific characteristics, container formats, defect scenarios, and production requirements. Stevanato Group helps customers identify the most suitable inspection technology by combining product expertise, camera-based systems, leak detection methods, artificial intelligence, and advanced image analysis tools.
Our technologies support reliable particle inspection, cosmetic defect detection, and container integrity testing for a wide range of pharmaceutical products and primary packaging formats.
When dealing with pharma inspection, there is no “one-fits-all” solution. At Stevanato Group, we evaluate each product and its properties and recommend a technology that best suits your requirements.
1. 1. Top shape and cosmetics
2. Color Code Ring
3. OPC
4. Body
5. Particles
6. Bottom
2. 1. Cap (seal disc, cap rubber)
2. Particles
3. Barrel
4. Plunger
5. Bottom
3. 1. Cap
2. Neck
3. Shoulder
4. Particles
5. Barrel
6. Plunger (Top, presence)
7. Flange
4. 1. Stopper
2. Cap (Alu)
3. Crimp
4. Neck
5. Shoulder
6. Barrel
7. Particles
8. Heel
9. Bottom
5. 1. Stopper
2. Cap (Alu)
3. Crimp
4. Neck
5. Shoulder
6. Barrel
7. Particles
8. Cake
9. Heel
10. Bottom
Matrix and line scan cameras are core technologies for particle inspection and cosmetic defect detection in pharmaceutical containers. The choice between the two depends on the container format, the product characteristics, and the expected defect scenarios.
Stevanato Group configures each visual inspection camera system by combining the most suitable camera technology with optimized illumination, field of view, image acquisition, container spinning speed, and rotation scheme. This approach helps improve detection accuracy while reducing false rejects across different products and production requirements.
For the inspection of water-like products, Stevanato Group uses particle tracking algorithms to detect particles with high reliability. This approach helps detect particles and reduce false rejects in challenging areas such as the meniscus or the bottom of the container.
For complex products and hard-to-detect defects, we utilize advanced inspection technologies such as bubble suppression methods.
For suspensions and turbid products, such as insulin, Stevanato Group combines both line scan and matrix cameras. Product homogenization, high-speed spinning, side light projection, and multiple inspection stations help increase detection performance while maintaining a low false rejection rate.
Very viscous products can make it difficult to distinguish particles inside the container from external defects. Stevanato Group’s line scan camera technology allows for reliable particle detection, even through printing.
Lyophilized products are challenging because their surface appearance and cake structure can vary significantly. Dedicated lighting and image capture techniques help separate glass, particles, and lyophilized product topology, supporting more accurate automated inspection and reducing the risk of misclassification.
Loss of sterility in parenteral products is one of the most critical risks for patient safety. Stevanato Group integrates container closure integrity testing technologies to verify container integrity and support product quality.
High-Voltage Leak Detection, or HVLD, is used for leak detection in containers filled with liquid products. It supports fast, objective, and non-destructive testing, including applications involving viscous liquids.
Headspace Gas Analysis, or HGA, is used to test containers filled with lyophilized products. It helps verify that headspace conditions are maintained, supporting sterility and stability for filled and finished packages.
Stevanato Group’s digital solutions for visual inspection help optimize inspection performance, reduce false rejects, and enhance the use of image and production data without interrupting operations.
Among these, the Digital Twin for Inspection enables the simulation of inspection station performance and the fine-tuning of parameters through the analysis of acquired images offline, saving production time.
The SG Vision AI platform, powered by Deep Learning models, enhances detection capabilities by increasing detection rates while minimizing false rejects.
Finally, Data Management solutions enable the collection and analysis of process data to support root cause investigations, corrective actions, and continuous product and process optimization.