Pharmaceutical laboratory researcher handling a sample tube with molecular and analytical data visualizations representing pharmaceutical research and quality control.

IV Bag Inspection Using AI

Case Overview


Industry: Pharmaceuticals and Medical

Solution: SolVIsion

Pharmaceutical manufacturers require accurate IV bag inspection to detect foreign particles while meeting production cycle time requirements. SolVision automates foreign particle detection using AI-based machine vision and a dedicated optical inspection station.

100 mL sodium chloride IV bag containing intravenous solution, representing the pharmaceutical product inspected for foreign particles using SolVision.
Sodium Chloride IV Bag for Pharmaceutical Inspection

The Case

IV Bag Inspection for Pharmaceutical Quality Control

A European multinational manufacturer of pharmaceutical products and medical devices required an automated inspection system to detect foreign particles in IV bags and meet strict quality control standards.

The system needed to achieve 100% detection accuracy while meeting the customer’s production cycle time requirements.

The Challenge

Detecting Small Foreign Particles in IV Bags

The small size of foreign particles and variations in IV bag colors make manual inspection difficult and time-consuming. The customer required an automated inspection system capable of detecting foreign particles accurately, maintaining a minimal overkill rate, and completing inspection within one second per bag.

Previous attempts with other solution providers had been unsuccessful due to the complexity of the application and the demanding inspection requirements.

The Solution

Automated Optical Inspection Using AI Vision

Solomon implemented SolVision to automate foreign particle detection in IV bags.

Solomon engineers designed an automated optical inspection (AOI) station equipped with two 2D Basler cameras positioned beneath a glass surface and a lighting system positioned above the IV bags. This configuration provides the imaging conditions required to detect foreign particles as they settle at the bottom of the bags.

Foreign Particle Detection

As foreign particles settle at the bottom of the IV bag, the cameras capture images from below. SolVision analyzes the captured images using AI-based defect detection to identify foreign particles that are difficult to distinguish through manual inspection due to their small size and variations in bag color.

The inspection process combines the dedicated optical configuration with AI-based image analysis to meet the customer’s accuracy and cycle time requirements.

The Results

Achieved 100% inspection accuracy in detecting foreign particles in IV bags.
Achieved a 0% overkill rate during inspection.
Achieved an inspection cycle time of 500 milliseconds per bag, 50% below the customer’s target cycle time.