IML Defect Detection System with AI Vision

Our AI-Driven IML Defect Detection System revolutionizes quality control for in-mold labeled products, combining deep learning with high-resolution imaging to achieve unparalleled accuracy in high-speed manufacturing environments.

Core Technology:

• Multi-spectral imaging: 12MP polarized cameras (x6) with coaxial LED arrays (0-50,000 lux adjustable)

• Defect-recognition AI: Convolutional Neural Networks trained on 3M+ IML defect samples

• 3D surface reconstruction: Structured-light projection (5µm depth resolution)

Critical Defects Detected:

1. Labeling Defects

   • Wrinkles ≥0.2mm²

   • Edge lifting >100µm

   • Registration offset ±0.15mm

2. Material Flaws

   • Air traps/bubbles ≥Ø150µm

   • Carbon streaks (IR imaging)

   • Ink delamination

3. Structural Issues

   • Sink marks (0.1mm depth sensitivity)

   • Flow lines in transparent areas

Performance Specifications:

• Throughput: 15 cycles/minute (compatible with 2,000-ton+ presses)

• Accuracy: 99.98% defect capture rate (validated per ASTM F2913)

• False positive rate: <0.1% (industry-best)

• Lighting: Self-adaptive to material finishes (glossy/matte/textured)

Industry 4.0 Integration:

• Real-time SPC dashboards with OEE tracking

• Automated NG part rejection (<5ms latency)

• SECS/GEM and OPC UA connectivity

• Blockchain-secured quality records

Compliant with IATF 16949 and FDA 21 CFR for automotive, food packaging, and consumer goods applications. The system features HMI with one-click recipe changeover and generates AI-powered root cause analysis reports.

Target Applications:
▶ Automotive trim ▶ Food containers ▶ Cosmetic packaging ▶ Home appliance panels

This future-proof solution reduces scrap rates by up to 40% while eliminating manual inspection costs, delivering ROI within 7 months.