How does the Garment eQC Mobile App detect microscopic fabric defects on smartphones and tablets?

The app utilizes deep learning computer vision (YOLOv8-seg) combined with Slicing Aided Hyper Inference (SAHI). High-resolution smartphone camera captures are dynamically sliced into overlapping 640px micro-tiles, allowing the neural engine to identify sub-millimeter pinholes, oil stains, yarn slubs, and structural tears that standard downsized models miss completely.

How does the automated ASTM D5430 4-Point Roll Grading work inside the mobile app?

As floor inspectors log defects across a roll or garment lot, the app automatically calculates penalty points per 100 square yards (or meters) based on defect size criteria (1 to 4 points). It instantly assigns an official roll classification (Grade A / Pass, Commercial Quality, or Reject) and generates a digitally signed, audit-ready PDF certificate complete with QR code traceability.

What is the Forensic Chemical Stain Remediation Guide, and how does it prevent fabric rejection?

Rather than writing off stained fabric as scrap, the app features an integrated chemical diagnostic assistant. Operators select the fabric substrate (100% Cotton, Poly-Blend, Wool) and contaminant type (mineral lubricant, needle grease, reactive dye bleed). The app provides exact bath temperatures, surfactant dilution ratios, and warnings against prohibited reagents (e.g., avoiding chlorine on protein fibers) to safely recover fabric value.

Does the app work in low-connectivity textile mills and cutting rooms?

Yes. The Garment eQC App is engineered for offline-first resilience. Neural models run on-device via ONNX Runtime and WebAssembly. Inspections, defect coordinates, and ASTM audit certificates are saved locally and automatically synchronized with central eManage Garment ERP once Wi-Fi or cellular connection is restored.

How does the app integrate with eManage Garment ERP and Cutting Room modules?

Inspection logs are bi-directionally linked to live ERP Production Orders, Roll Inward GRNs, and Cutting Room Job Cards. Flagged roll defects automatically update spreading plans to ensure cutting tables bypass defective zones, eliminating finished garment rejections before sewing begins.

Mobile Optical Inspection · iOS & Android

Garment eQC Mobile App:
Optical Fabric Defect Detection & ASTM D5430

Turn any smartphone or industrial tablet into an optical quality laboratory. Slicing Aided Hyper Inference (SAHI) detects sub-millimeter holes, oil stains, and slubs in milliseconds, generates official ASTM D5430 roll certificates, and provides prescriptive chemical stain remediation recipes.

eManage Garment eQC is an enterprise mobile optical inspection platform for textile mills and garment factories. Running YOLOv8-seg with SAHI 640px micro-tiling on iOS and Android devices, it delivers sub-millimeter defect detection, automatic ASTM D5430 4-point roll grading, chemical stain treatment recipes, care tag decoding, and real-time synchronization with eManage Garment ERP.

<0.5s

Inference Latency

98.6%

Catch Accuracy

ASTM D5430

4-Point Standard

100% Offline

Edge AI Engine

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Garment eQC Mobile App on iPhone with optical defect detection bounding boxes

Mobile Optical Workflow

From Photo Capture to ASTM Certificate in 3 Taps

Clean, light-themed Apple iOS interfaces engineered for zero eye fatigue on bright factory inspection frames.

Step 1: AI Defect Detection Viewport on iPhone

Optical Defect Segmentation

SAHI micro-tiling runs on the camera feed, rendering precision bounding boxes for oil stains, slubs, and pinholes with confidence chips.

Step 2: Forensic Stain Remediation on iPhone

Chemical Stain Remediation

Auto-retrieves chemical recipes, surfactant ratios, and bath temperatures (45°C) to safely wash out machine lubricants without fabric damage.

Step 3: ASTM D5430 Roll Audit Certificate on iPhone

ASTM 4-Point PDF Export

Compiles defect counts into penalty points per 100 yds² (`0.62`), awards Grade A certification, and generates audit PDFs with WhatsApp sharing.

Under The Hood

5 Built-In AI Quality Control Engines

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SAHI Slicing Aided Inference

Standard YOLO models fail on tiny needle holes because downscaling 12MP smartphone photos erases fine threads. SAHI slices images into 640px micro-tiles, preserving 0.2mm optical resolution.

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ASTM D5430 & 10-Point Scorer

Automatic penalty calculation per 100 square yards/meters: 1 point (<3"), 2 points (3"–6"), 3 points (6"–9"), 4 points (>9" or holes). Eliminates subjective manual inspector bias.

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Forensic Laundering Assistant

Contaminant taxonomy covering mineral machine oil, needle grease, tea/coffee, rust, and dye migration. Prescribes exact chemical surfactants and thermal bath parameters.

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Care Label Pictogram Decoder

Optical OCR and symbol classifier decoding international wash, bleach, dry, iron, and dry-clean pictograms (ISO 3758 / ASTM D5489) into human-readable production guidelines.

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2D FFT Weave & GSM Metrology

Fast Fourier Transform structural analysis measuring thread count density per centimeter, classifying Plain 1/1, Twill 2/1, and Satin weaves, and estimating optical fabric GSM weight.

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eManage Garment ERP Integration

Bi-directional sync updates Cutting Room Spreading Tables, Fabric Inward GRNs, and Operator Shift Logs. Ensures cutting layouts bypass defective roll coordinates automatically.

Specialized In-App Tools

Care Symbol OCR & 2D FFT Weave Metrology

Beyond surface defects, the Garment eQC app performs micro-structural fabric metrology and decodes international apparel care pictograms directly in the inspector's hand.

MODULE 04 ISO 3758 / ASTM D5489

Care Label Pictogram Optical Decoder

Instant multi-symbol recognition for wash cycles, bleaching restrictions, tumble dry heat, ironing temperature limits, and professional dry-cleaning. Converts symbols into human-readable laundering SOPs with 1-tap ERP synchronization.

5-Symbol Parse 98.6% Accuracy Auto SOP

MODULE 05 2D FFT Spectral Analysis

Weave Density & Optical GSM Metrology

Measures ends and picks per centimeter using 2D Fast Fourier Transform frequency peaks from macro smartphone photography. Automatically classifies weave geometry (Plain 1/1, Twill 2/1, Satin) and estimates optical GSM fabric weight.

48.2 ends/cm Twill 2/1 (97.4%) 245.8 g/m² GSM

Technical FAQs

Garment eQC Mobile App FAQs

Optical Mobile AI Quality Control

Upgrade Your Floor Quality Team to Optical Mobile AI

Eliminate paper tally sheets, subjective defect arguments, and defect leakage. Deploy the Garment eQC App across your factory floor in under 48 hours.

SAHI 640px Micro-Tiling ASTM D5430 Grade A Pass 1-Tap Recipe & PDF Sync

Ready for Deployment TURNKEY INTEGRATION

< 1.2s

Scan Loop

GRADE A

ASTM Report

100%

Audit Trail

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Engineering

Garment eQC Mobile App:
Optical Fabric Defect Detection & ASTM D5430