Advanced Bubble/Blister Machine with Ai Vision Detecting System for Reliable Results

• 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

To address the complex challenges faced by pharmaceutical companies, we proudly present our self-developed, fully automatic blister board inspection machine, integrated with the cutting-edge "Shine algorithm." This innovative system meticulously examines the appearance of tablet and capsule blister boards, effortlessly identifying and segregating defective products through advanced rejection software. This ensures that only the highest quality blister boards leave the production facility. 

Detailed Photos

Product Parameters

Essential Information and Testing Requirements

ØTest Object: Tablets or Capsules

ØDetection Speed: Single channel up to an impressive 400 boards per minute, with dual channels available for customization.

ØDimensions: L2800 XW1000 XH1900 mm

ØWeight: Approximately 800 Kg

ØApplicable Packaging: Suitable for aluminum plastic packaging

ØInstallation Location: Ideally positioned after the blister packaging machine, once the blister board has been coated and cut.

ØOptional Features: Includes rigid/reverse inspection station for enhanced functionality

oSystem Parameter

ØDefect Detection Capabilities: Identifies 23 distinct types of defects

ØDetection Accuracy: Remarkable precision at 0.05 mm²

ØDefect Detection Rate: An impressive 99.9% efficiency