Machine Vision for Pharmaceutical Companies
Machine Vision for Pharmaceutical Companies
The AI ShaC pharmaceutical and bio AI vision inspection system is a solution that applies AI deep learning-based machine vision technology to automatically inspect quality in pharmaceutical production processes.
It detects product quality abnormalities in real time with high-speed, high-precision vision inspection technology and automatically sorts conforming products from defective ones to improve productivity and quality reliability.
Vial Inspector
AI deep learning algorithms - a fully automatic quality inspection system that automatically inspects the quality of vial products such as vaccines and injectables.
Main Functions
AI deep learning-based automatic inspection
Automatic sorting and ejection of conforming and defective products
Real-time display of inspection results and production volume
Inspection settings for each product
Inspection Items
Foreign particle detection in transparent liquids
Aluminum cap seal integrity inspection
Aluminum cap scratch inspection
Rubber stopper presence inspection
Plastic cap presence and color inspection
Liquid fill volume inspection
Label information analysis (optional)
Specifications
| Division | Detail | Notes |
|---|---|---|
| Inspection Speed | 400Vial/min | |
| Inspection Method | Inspection during transfer and indexing | |
| Defect Ejection | Automatic ejection by rotary index, vacuum, and pneumatic systems | |
| Camera | 1920x1080 pixel full HD color camera | |
| Computer | Industrial computer, monitor, and computer rack (internal) | GPU-equipped Pentium i5-class or higher and 14.1" touch monitor |
| Output error prevention system | Synchronized drive and ejection by encoder | Encoder compensation of time intervals for inspection and ejection |
| User Interface | Input via Windows GUI on the touch panel | |
| External Interface | Output of contact points, inspection synchronization signals, and more | RS-232C / USB / Parallel |
| Spacing | Spacing automatically maintained by the "Index Unit" | |
| Inspection Results | Various error messages for each item |
Syrup Line Vision Inspector
AI Deep Learning Algorithms / A system with a Spectrum Pulse LED light source that automatically inspects labels, print condition, and cap quality on syrup product production lines.
Main Functions
AI deep learning-based image analysis
Spectrum Pulse LED light source
Real-time inspection on the production line
Automatic detection of defective products
Inspection Items
Label presence inspection
Label color and shape inspection
Label tilt inspection
Label tear and damage inspection
Label lifting inspection
Manufacturing date and expiration date print error inspection
Aluminum cap seal integrity inspection
Cap surface scratch inspection
Blister Inspector
AI deep learning algorithms - a fully automatic quality inspection system that automatically inspects the blister packaging condition of tablet and capsule products.
Main Functions
AI deep learning-based automatic quality inspection
Automatic sorting and ejection of defective products
Compatible with rotary and flat equipment
Real-time display of inspection results and production volume
Monitor alerts when defects occur
Inspection settings for each product
Inspection Items
Empty pocket inspection
Broken tablet inspection
Packaging defect inspection
Cutting defect inspection
Forming defect inspection