AI Fabric Inspection Machine
Email:
fshonsun@163.com
WhatsApp:
8618029290586
- Product Details
- Technical Specifications
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- Commodity name: AI Fabric Inspection Machine
Applicable Scenarios: Covering the Entire Textile Industry Chain
Core Advantages: Breakthroughs in Three Dimensions, Redefining Fabric Inspection Experience
1.AI-Powered Defect Detection with Precision Surpassing Manual Inspection
Multi-dimensional Recognition: Equipped with a 20MP high-definition industrial camera and AI deep learning algorithm, it accurately identifies over 30 types of fabric defects such as broken warp, floating patterns, stains, holes, and weft skew. With a detection precision of 0.1mm, the missed inspection rate is <0.5% and false detection rate <2%, covering all fabric categories including cotton, linen, silk, chemical fiber, and knitted fabrics.Adaptive Adjustment: Built-in light compensation and fabric texture analysis modules automatically adapt to fabrics of different colors, thicknesses, and textures, eliminating the need for repeated manual debugging and ensuring stable detection even for complex fabrics.
2.High Efficiency & Speed: Visible Cost Reduction and Efficiency Improvement
Ultra-high-speed Inspection: With a fabric inspection speed of up to 50 meters per minute, it is 2-3 times more efficient than manual inspection. One device can replace 2-3 inspectors, saving over 200,000 RMB in annual labor costs.
Non-stop Operation: Runs 24/7 with an automatic winding/unwinding system, reducing fabric handling loss. It can inspect over 10,000 meters of fabric daily, helping enterprises shorten production cycles.3.Intelligent Data Traceability: Empowering Management Upgrades
Real-time Data Visualization: Features a large touchscreen to display real-time defect positions, types, quantities, and fabric qualification rates. Automatically generates quality inspection reports, eliminating errors from manual recording.
Full-link Traceability: Defect data is linked to fabric batches, production stations, and inspection times, enabling one-click tracing of problem sources. This provides data support for optimizing production processes, helping enterprises achieve "lean production."Applicable Scenarios: Covering the Entire Textile Industry Chain
Apparel Fabric Mills: Batch-inspect fabrics for shirts, suits, dresses, and other garments before production to ensure defect-free finished products and enhance brand reputation.
Textile Manufacturers: Conduct in-process fabric quality inspections to address low efficiency and high missed inspection rates of manual inspection. Ensure the quality of outgoing products and improve enterprise competitiveness.
Textile Traders: Implement quality control on textiles during procurement and sales to safeguard fair and impartial transactions.
Quality Inspection Institutions: Provide accurate testing data and reports for quality inspection departments to support quality supervision and management.Basic Parameters
Item Parameter Specifications Detection Width Max 2000mm (Customizable) Inspection Speed 0-50 m/min Defect Recognition Precision ≥ 0.1mm Types of Detectable Defects 30 + Types (Supports Algorithm Iteration and Upgrade) Industrial Camera 230 megapixel High-Definition Industrial Camera Fabric Compatibility Cotton, linen, silk, chemical fiber, knitted fabrics etc Detection Precision ≥ 1mm Machine Dimensions 3200×2000×1800mm (Regular Model) Function Introduction
Automated Operation
The equipment has multiple automated operations, including automatic measurement of fabric width, automatic labeling,automatic scoring,automatic report generation, etc.,which reduces manual intervention and labor intensity.Multifunctional integration
In addition to the basic fabric inspection function,it can also have other additional functions, such as defect classification statistics,data analysis, network monitoring, etc., to meet the diverse needs of users.Automatic fabric inspection
The automated fabric inspection function can automatically record fabric length, as well as the type, location, and quantity of defects generated during the inspection process, and can automatically label and generate reports.Defect statistics
All defect types and quantities are automatically recorded during the inspection process, and are port is generated after the inspection,including defect information to facilitate subsequent statistics and records.Data Analysis
After the inspection, a complete report will be generated and exported, including equipment,fabric and detected defect information.Detectable Fabric Types
Detectable Defects
Keywords:
AI Fabric Inspection Machine
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