Weaving Tape AI Defect Inspection

Intelligent AI Defect Detection Replaces Manual Checks

To overcome the challenges in traditional hook-and-loop fastener (Velcro tape) inspection, we've developed an automated solution for detecting defects in fasteners, rendering manual labor inspections a thing of the past. This solution integrates advanced AI technology, creating an intelligent AOI inspection system seamlessly incorporated into existing weaving machines without altering the original production line configuration. While the weaving machine is running, it simultaneously identifies defects in fasteners, completely replacing the traditional time-consuming process of verifying fasteners, reducing labor costs, and thus significantly enhancing production efficiency.
The inspection system employs AI deep learning techniques to effectively address issues of leakage and overkill detection. Simultaneously, it achieves real-time defect classification and parking judgments, imposing strict quality control measures to ensure the integrity of fasteners and minimize the production of defective fasteners. With comprehensive real-time online management features, it facilitates continuous monitoring of weaving machine usage status and records the inspection process, thoroughly addressing the complexity of management challenges.
This solution is not only an upgrade in defect inspection but also serves as a holistic enhancement of production management, introducing a new era of efficiency, precision, and convenience to the production environment. For more information or for customized inspection requirements, please feel free to contact us anytime. 

Features

• Space-saving module design for easy machine integration: 
  Effortlessly fits into existing weaving machines without requiring alterations to the machine setup.
• Efficient Defect Capture: 
  Utilizing a high-speed line-scan camera to capture small defects, detecting defects as small as around 1.5 x 1.5 mm, including broken yarn, dirt, merged yarn, rough edges, circular edges, floating yarn, and more.
• Intelligent AOI Inspection System:
  Integrating AI technology to effectively address issues of leakage and overkill detection, significantly enhancing detection efficiency, and subsequently improving production yield.
• AI Deep Learning for Enhanced Recognition Accuracy: 
  Utilizing AI deep learning with training data to automatically adjust parameters for identifying unknown defects, enhancing the accuracy of defect recognition.
• Real-time Classification and Parking Judgment:
  Leveraging well-trained AI models for real-time recognition of defects and parking judgment, assisting in promptly addressing production anomalies.
• Role-Based Access Management: 
  Customizing access permission based on user’s role and responsibility to ensure the security of data and the system.
• Real-time Machine Usage Monitoring:
  Monitoring machine usage status at any time, recording daily/weekly/monthly machine inspection history to assist in monitoring and optimizing production processes.
• Comprehensive Defect Recording and Statistics:
  Recording detailed information about detected defects, including types, sizes, locations, images, as well as relevant time and machine details, facilitating subsequent tracking and analysis.
• Online Management System: 
  An intuitive web-based browsing interface enables easy access to machine and defect-related information anytime, anywhere, providing users with a user-friendly management experience.

LT-050 Brochure

Specifications
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Inspection Weaving Tape: Hook-and-Loop Fastener (Velcro tape)
Inspection Defects:  Broken yarn, dirt, merged yarn, rough edges, circular edges, floating yarn, abnormal width
Detection Size: 1.5 x 1.5 mm (Min.) 
Inspection Light Source: LED (White) 
Image Capture Device: Line Scan Camera 
Resolution: 50 um/pixel 
Visible Range: 50 cm 
Inspection Area: 20 cm * 2 
Inspection Speed: 40 cm/min 
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Inspection Equipment: LT-050 
Inspection Software: Defect Inspection System；Defect Management System