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The AI Edge Banding Visual Inspection TV128 is an advanced optical inspection system designed to seamlessly integrate with edge banding machines. Using innovative image processing and AI-driven automatic exposure, it captures high-quality images across different board colors and surface textures. The system accurately distinguishes between natural pattern variations and actual defects, significantly reducing false positives while ensuring no critical flaws are missed. Ideal for cabinet side panels, door panels, and other panel products, it delivers reliable, real‑time quality control.
AI Edge Banding Visual Inspection TV128
Precision Vision · Intelligent Quality Assurance
Working Principle & Inspection Workflow
Scan board barcode
Acquire board attributes – length, width, pattern color, board code, etc.
Automatic parameter adjustment
Execute edge band inspection – auto exposure adaptation, image acquisition, defect detection
Output warning results – control panel warning, light signal warning
Manual result verification
Labeling
Data storage – local storage & cloud synchronization
Parameter optimization
The system employs an AI‑driven automatic exposure system that adapts to various board colors, ensuring clear imaging under different lighting conditions. An integrated dust removal unit (brushing, blowing, or air nozzle) maintains image clarity and reduces environmental interference.
Main Defect Detection Scope
The TV128 detects a wide range of edge banding defects, including:
Wave patterns
Residual glue
Edge banding too high / under height
Dents, chips, glue gaps, glue failure
Missing edge banding
Edge banding damage, scratches, nicks
Edge shaving and edge banding defects
Detection examples:
Defect Type | Minimum Detection |
Chipping | L ≥ 0.3 mm × W ≥ 0.3 mm |
Glue Seam | W ≥ 0.2 mm, L ≥ 1 mm |
Short / Long Edge Band | L ≥ 0.3 mm |
Delamination / Over Height | H ≥ 0.3 mm |
Under Height | H ≥ 0.3 mm |
Wave Pattern | L ≥ 0.3 mm × W ≥ 0.3 mm |
Contamination / Residual Glue | Area ≤ 0.5 cm² |
Key Advantages
Wider Detection Range
Top & bottom surfaces: up to 15 mm
Side edges: 6–60 mm (adjustable)
Max board length: 5000 mm
Industrial‑grade defect identification and classification with pixel‑level edge detection.
Standard Classification & Customization
Defect classification is fully customizable.
Each defect type supports multi‑level classification with independent codes for unified communication.
Minimum detection standard: ≥ 0.2 mm; refined levels can reach 0.2 mm.
Detection thresholds can be fine‑tuned to meet specific production requirements.
High Accuracy & Efficiency
Leakage rate: ≤ 0.8%
False detection rate: ≤ 2% (defective products incorrectly judged as qualified)
Detection precision: > 0.2 mm
Image processing time: 50 ms per image
Compatible with edge banding speeds up to 25 m/min
Technical Data
Parameter | Specification |
Overall Dimensions | Upper light source: 470×80×240 mm |
Edge Sealing Speed | ≤ 25 m/min |
Image Processing Time | 50 ms per image |
Image Storage Capacity | 50,000 image files (approx. 3–5 days of production at 5,000 edges/day) |
Total Power Consumption | Approx. 700 W |
Equipment Weight | Approx. 60 kg |
Applicable Products | Cabinet side panels, door panels, etc. |
Equipment Requirements | Installation space above edge banding machine (≥ 80 mm) |
Production Efficiency | 0–45 m/min (automatically matches edge bander speed; panel spacing ≥ 350 mm) |
Detection Range | Top/bottom: 15 mm |
Panel Cleaning | Brushing/blowing/air nozzles (customizable based on site space) |
Detection Coverage
Surface Area | Coverage |
Top Surface / Decorative Panel | ≥ 15 mm |
Side / Edge Banding | 6–60 mm (fully covered) |
Color & Pattern Coverage | Light colors, dark colors, textures, UV – all covered (excluding film‑coated products) |
Operating Environment Requirements
Pre‑position detection
AI recognition of board texture and defects
AI‑based automatic light adjustment for clear imaging on various board colors
Integrated automatic dust removal unit with continuous vacuuming and anti‑dust interference
Contact us for more information, pricing, or to request a quote.
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