Capsule Defect Detection with Vision AI in Pharma Manufacturing
Detecting defects in pharmaceutical capsules remains largely a manual task. To paint a picture, it takes two full-time employees at least five days to inspect a single batch, which can contain up to one million capsules—and this often still leads to inconsistent output quality.
In today’s era of rapid technological advancement, it’s clear this process is unsustainable, especially over the long term. While automating quality control is a step forward, integrating automation with AI technologies such as computer vision represents the most effective approach to future-proofing operations.
By leveraging vision AI, accuracy is significantly improved, and human error is minimized. AI models can also be trained to ensure pharmaceutical products consistently meet the stringent safety standards established by regulatory authorities.
Capsule Defect Classification and Management with Vision AI Automation
Adding intelligence to automation with deep learning and vision AI adds depth to defect detection and classification, making it much quicker and more accurate. A neural network can be trained to go beyond simply identifying defects, enabling the classification of specific types of defects and storing this data for operators to analyze further.
The live dashboard of Robovision’s AI software can identify up to 80 different defect classes, including:
| Empty capsules | Crushed capsules | Half-filled capsules | Foreign objects |
| Creases causing product loss | Cracks | Discolorations, black dots, and stains | Holes without product loss |
By accessing data that identifies specific defects, line operators can quickly pinpoint the root cause and apply corrective actions, reducing defect propagation and downtime—ultimately ensuring smooth production.
Integrate Vision AI and Streamline Production
The Robovision AI platform fast tracks smart solutions by integrating computer vision into your machinery so it is accessible and easy for operators to maintain without AI expertise. Enhance quality assurance, optimize automation, and improve safety—all without the need for external consultants or IT services.
Quality Assurance at Scale
Full AI automation that adapts to production growth.
Enhanced Automation
Takes defect detection to the next level: Identify multiple defects across different product types.
Reduce Downtime
Minimize the need for manual root cause analysis and speed up correctives.
Empower Operators
Operators can develop and maintain AI models themselves, without the need for data scientists.
Robovision provides robust platform and Edge integration options through SDKs and APIs, supporting deployment in cloud environments, on-premises setups, or within existing systems.