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01.8 · Inspection
3D Vision AI for Automated Impurity Inspection
Telling a particle inside a pharmaceutical container from dirt on the outside: 85% accuracy in one second, and far less good product rejected.
Inspection
Pharma
3D from 2D
In pharmaceutical manufacturing, 2D inspection systems often struggle to distinguish between critical internal impurities and harmless external dirt. This lack of depth perception leads to high false-reject rates and significant product waste.
Partnering with a leading Pharmaceutical Inspection OEM, we developed a Vision AI solution that utilizes rotation physics to extract 3D positioning from 2D cameras. This allows the system to precisely locate particles, ensuring only truly contaminated containers are rejected.
By moving from 2D detection to 3D positioning, we revolutionized the quality assurance process for transparent containers:
- 85% System Accuracy: Successfully differentiates internal contaminants from external surface dirt.
- High-Speed Processing: Real-time analysis completed in just 1 second per container.
- Reduced Waste: Significantly lowers false rejection rates, improving the manufacturing bottom line.
Based on the project, we published a peer-reviewed paper: “3D impurity inspection of cylindrical transparent containers” in Measurement Science and Technology.
detections.
More work
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