
Md Rahinur Rahman
AI Systems Engineer
Design and development of industrial automation and AI systems for FABINS at NEVOLYN.
Automate Fabric Inspection with FABINS.

Bangladesh RMG is a national export pillar, yet quality control at the frame is still one inspector, one pair of eyes, one tally sheet, while competing manufacturing hubs have already automated it.
Grading still relies on an inspector's eye at the frame and not on installed machine capacity.
Long shifts watching moving cloth degrade attention which is a physiological limit, not a discipline issue.
Two or more inspectors grade the same roll differently where human error is unavoidable.
A tally sheet, not a defect map which is nothing to trace faults back to a machine or batch.
Importing complete automated inspection machines from abroad requires millions in capital expenditure and disruptive factory floor redesign. FABINS upgrades the inspection machines already sitting in Bangladeshi mills.
Synchronized with real fabric motion to deliver millimeter-accurate defect detection at full production speed.
High-speed industrial camera captures the full fabric width as it moves.
Rotary encoder triggers every image line from actual fabric travel for precise sync.
Deep learning vision model resolves sub-millimeter defects on moving fabric in real time.
Distinguishes holes, joints, oil spots, and measures exact physical size in millimeters.
Applies Four-Point penalty rules automatically, including fixed hole penalty overrides.
Issues mill's own official inspection report format, signed and ready for sign-off.
High-Resolution Color Sensor
Industrial high-resolution camera capturing the full fabric width with precise optical clarity.
Encoder-Triggered Sync
Calibrated optics and rotary hardware encoder synchronized to real-time fabric roll speed.
Controlled Illumination Rig
Uniform high-CRI lighting assembly over a continuous fabric transport rig, eliminating shadows.
Browser Operator Interface
Real-time defect scoring and digital audit reporting with live operator dashboards.
Fabric faults are detected in real-time and automatically scored using the industry-standard Four-Point System.
Minor defect or short localized yarn imperfection.
Medium imperfection extending across several warp/weft yarns.
Major imperfection affecting fabric appearance or strength.
Critical defect or any physical hole/tear regardless of size.
ASTM D5430 Defect Taxonomy
ASTM D5430 Standard Formula
System architecture, hardware integration, computer vision and production software engineered and built by Nevolyn Technology.
Official announcements, industrial partnerships, capital allocations, and technology breakthroughs shaping the trajectory of NEVOLYN Technology & FABINS.
Key institutional breakthroughs and partnerships
Recent updates and institutional announcements
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