Pill ID
Real-Time AI Tablet Inspection for Pharmaceutical Manufacturing Lines
11 / 13
Pharma AI · Machine Vision · Quality Control
Overview
An AI-powered tablet inspection system delivering 100% automated quality assurance on pharmaceutical manufacturing lines. Using industrial global shutter machine vision cameras, deep learning models, and edge AI processing, the system inspects every tablet on the conveyor belt in real time — detecting defects with high accuracy at production speed. It validates surface integrity, dimensional conformance, and marking accuracy across any tablet shape, size, colour, or coating type, making a pass/fail decision automatically for each unit.
Key Features
- Real-time tablet detection, tracking, and production counting
- Surface defect inspection — chips, cracks, coating bubbles, scratches, foreign particles
- Dimensional verification — shape, diameter, thickness, and broken tablet detection
- Marking & embossing inspection — logo, embossing, and printed text validation
- AI pass/fail classification with defect categorisation and severity analysis
- Anomaly detection for previously unseen defect types
- Centralised web dashboard — live feed, production stats, defect trends, and audit trail