SolVisionCase Study

Deep Learning Inspection of Liquid Biotech Medicines

Automated detection of transparent bottles

Purity as indicator of quality

Large scale biotechnology manufacturers implement HACCP processes to ensure quality and safety of their products. Control of foreign matter is a key consideration when testing and evaluating the purity of liquid medicine.

Automated detection of liquids with sedimentation

Inspecting liquid and reflective substances

Liquid biotech medicines are often stored in transparent bottles, and rely on manual inspection to detect any sedimentation and determine clarity. Due to the reflective nature of transparent bottles and the inconsistent levels of sedimentation, inspection of liquid medicines cannot be automated using rule-based vision systems, posing a challenge to the efficiency and quality of production. 

AI learns and ‘sees’ faster

An advanced AI and machine vision solution, SolVision uses sample images to learn how to analyse and identify sedimentation levels. AI deep learning facilitates the recognition of different colored liquids and their sedimentation levels, and also enables accurate classification of sedimentation patterns to determine the quality of the bottled contents.

AI Inspection

Golden Sample

Inspecting Transparent Liquid Bottles

Excessive Sedimentation

Inspecting Transparent Liquid Bottles

Incorrect Color

Inspecting Transparent Liquid Bottles
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