Blister Board Detection Equipment for Optimal Manufacturing Standards

• Customization: Available
• After-sales Service: Online Support, video Technical Support
• Analysis Speed: Real-time Monitoring
• Model NO.: Customized
• Application: Pharmaceutical Industry
• Certification: ISO
• Condition: New
• Customized: Customized
• Detection Range: Tablets/Capsules
• Material Compatibility: Capsules, Tablets
• Portability: Benchtop
• Power Source: Electric Operated
• Sensitivity: High Sensitivity
• Technology: with Cameras
• User Interface: Software Interface
• Voltage: 220V
• Weight: 800kg
• Defect Detection Rate: 99.9%
• Defect Detection: 23 Types
• Detection Speed: 400 Sheets/Minute of Singe Channal
• Detection Accuracy: 0.05 Square mm
• Transport Package: Wooden Box
• Specification: L2800mm X W1000mm X H1900mm
• Trademark: Shine
• Origin: China
• HS Code: 9031499090
• Production Capacity: 200

Product Description

Product Description

In the quest to address the significant challenges faced by pharmaceutical companies, we proudly presents our self-developed, fully automatic Blister Board Detection Equipment. This state-of-the-art machine is powered by our revolutionary "Shine algorithm," which meticulously inspects the appearance of tablet and capsule blister boards. With precision-driven rejection software, it ensures only top-quality products proceed, effectively filtering out any defective blister boards before they leave the manufacturing facility. 

Detailed Photos

Product Parameters

Basic Information and Testing Requirements

Ø Test Object: Tablets or Capsules

Ø Detection Speed: Capable of processing up to 400 boards per minute on a single channel; dual channels are customizable for increased efficiency.

Ø Size: L2800 XW1000 XH1900mm

Ø Weight: Approximately 800Kg

Ø Applicable Packaging: Aluminum Plastic Packaging

Ø Installation Location: Post the blister packaging machine, ideal after the blister board has been coated and cut

Ø Optional Items: Rigid/Reverse Inspection Station

oSystem Parameter

Ø Detection of Defects: Capable of identifying 23 distinct defect types

ØDetection Accuracy: Remarkable precision at 0.05mm²

ØDefect Detection Rate: An impressive 99.9%