Pharma / Drug · APPLICATION SCENARIO
Capsule appearance defects come in many forms, making this one of the most experience-dependent steps in manual quality control for formulation.
Scenario · Capsule Appearance & Color Mismatch
Challenge & Solution
ChallengeDefect types number as many as 80 classes; after 2–3 continuous hours on shift, operator missed-detection rates rise significantly, reaching 10%–15%.
SolutionOperators label samples themselves through a graphical interface, building an 80-class defect detection model with zero code.
Recommended equipment: 2D AI AOI · AOI Software
View full case study → Detection of 80 Types of Capsule Defects: Enable Operators
This article was generated by AI. Customer cases are simulated scenarios based on real product capabilities and figures are illustrative; see product pages for official benchmarks.
FAQ
Defect types number as many as 80 classes; after 2–3 continuous hours on shift, operator missed-detection rates rise significantly, reaching 10%–15%.
Operators label samples themselves through a graphical interface, building an 80-class defect detection model with zero code.
In real production deployments, Defect types covered reaches 80 classes, Missed detection rate (was 12%) reaches <1%, and False detection rate (was 7%) reaches <2% (case studies are simulated scenarios based on real product capabilities; see product pages for official benchmarks).
Capsule Defect Detection (80 Classes) pricing depends on production-line scale, number of inspection points, and deployment mode (cloud/edge/on-premise); configurations vary significantly by customer, so we don't publish a fixed price list. Book a demo for a quote and implementation timeline tailored to your setup.