China Automated Vision Inspection Solutions

Nonwoven Fabric Inspection Machine
Detectable Defect Types:
Holes, unmelted particles, resin spots, insect inclusions, etc. (as illustrated)
Inspection Targets:
Nonwoven in production processes including:
Spunbond, spunlace, thermal-bonded, chemical-bonded, and air-through nonwoven materials
Overview
The glass online inspection system can detect defects in real-time during production and provide product quality information. It records quality data to optimize production processes. The system performs non-contact edge defect detection, surface flaw inspection, and dimensional measurement for products of varying widths and machine speeds.
RVT-Nonwoven Vision utilizes high-resolution line-scan cameras to capture nonwoven fabric images. Specialized image processing and analysis software based on an industrial control computer automatically detects surface defects, measures dimensions, and logs defect data into a categorized database. The system features a user-friendly Windows-based graphical interface.
Highlights
-- Recipe Management
The software allows customized parameter settings for each product type, saved as a “recipe.” During production, simply selecting the recipe automatically loads the corresponding parameters.
-- Classification
Defects are accurately classified using AI-based analysis of captured images, enabling customized criteria for different defect types.
-- Defect Recording (Database Functionality)
Defect characteristics and image data are stored in database files for offline queries, reporting, and printing.
-- Real-Time Interface Display
Instantly shows detected defect images, characteristic data, and trend charts.
Machine Performance Specification
Core Components:
High-performance industrial computer
Proprietary image processing software (fully independent IP)
High-res line-scan cameras (2K-16K resolution)
Long-life LED illumination
Dedicated tooling & fixturesPerformance:
Scalable camera configuration for resolution adjustment
Max. line speed: 600 m/minCapabilities:
Pre/post-production surface defect detection
Automatic defect coordinate logging (machine & cross directions)
AI-based defect classification
Automatic defect image archiving
Auto-generated roll quality reports & defect distribution maps
Defects Detected During Projects
