INSPECTRA VizCPI
AI-Powered Cut Panel Inspection System
INSPECTRA VizCPI is an intelligent, camera-based cut panel inspection system designed to detect defects in cut fabric panels immediately after the cutting process. By integrating AI-powered machine vision, VizCPI ensures that only defect-free panels proceed to the sewing floor — dramatically reducing rework costs, fabric waste, and quality rejects at the final stage. VizCPI brings automated, real-time quality control to the most critical checkpoint in the cutting room workflow.
INSPECTRA VizCPI
AI-Powered Cut Panel Inspection System
Smart Features At a Glance
- ✓ Sustainability
- ✓ Traceability
- ✓ Real-Time Data (IoT)
- ✓ Accountability (User Control)
What Is Viz Cloth?
Viz Cloth is AI-powered garment inspection solution, engineered to automate measurement verification and shade consistency checks across apparel production lines. The system captures real garments via a high-resolution camera, compares them against approved digital reference models, and delivers instant pass/fail results — eliminating human subjectivity from quality control. Viz Cloth is purpose-built for high-volume garment manufacturing environments where speed, consistency, and digital compliance are non-negotiable.
Key Features
- AI-powered camera vision identifies defects in cut panels instantly
- Defect library management — categorise, store, and recall defect profiles
- Real-time IoT data integration — connect with MIS/ERP for live production monitoring
- Panel-level traceability — each cut piece logged with defect status and operator ID
- Automatic pass/fail output with defect marking and alert system
- Graphical QC reports per shift, work order, size and bundle
- User access control — role-based login for operators, supervisors, and QC managers
- Compatible with automated cutting systems and conveyor-based workflows
- Colour shade and measurement deviation checking (optional module)
Business Benefits
- Reduce final inspection rejection rates by catching defects at source — after cutting, before sewing
- Minimise rework and downstream waste — defective panels identified and removed early
- Achieve 100% panel inspection coverage — no reliance on manual spot-checking
- Improve operator accountability through user-level logging and performance tracking
- Enable real-time production visibility with IoT-connected dashboard reports
- Reduce cost-of-quality — fewer last-minute rejections and shipment delays
Applications
- Apparel and garment manufacturing — woven, knit, and denim cutting rooms
- Home furnishing and technical textiles cut-to-order operations
- Export-oriented units requiring international buyer QC documentation
- High-volume cutting rooms processing multiple fabrics and orders simultaneously
- Facilities with automated or semi-automated cutting systems requiring inline QC
Technical & Hardware Specifications
| Brand | INSPECTRA |
|---|---|
| Model | VizCPI (ES-890 series) |
| Inspection Method | AI camera-based machine vision |
| Defect Detection | Holes, tears, stains, shading, weave defects, edge irregularities |
| Panel Coverage | 100% automated — every cut panel inspected |
| IoT Connectivity | Yes — MIS/ERP integration via standard data protocols |
| Defect Library | Customisable — add, edit, and manage defect categories |
| User Access Control | Multi-level role-based login (operator / supervisor / manager) |
| Reporting | Real-time graphical reports per panel, bundle, order, and shift |
| Optional Modules | Colour shade checking, measurement deviation, roll-to-panel traceability |
| Power Supply | 220V / 50Hz (single phase) |
| Compatible With | Most automated and semi-automated cutting systems |
Why Choose US for Panel Inspection?
The INSPECTRA range brings the same engineering discipline that powers our spreading and cutting systems into quality control — giving manufacturers a fully integrated, data-connected cutting room workflow from roll to panel to sewing floor.
Frequently Asked Questions
VizCPI detects a wide range of fabric and cutting defects including holes, tears, weave breaks, stains, shade variations, and edge irregularities. The defect library is fully customisable to match specific buyer or product requirements.
Yes. VizCPI is IoT-enabled and can push inspection data — including defect counts, panel pass/fail results, and shift summaries — directly to your MIS or ERP system via standard data integration protocols.
The 4PS module is included as a standard feature. It can be configured according to your specific buyer's grading criteria and generates buyer-ready reports automatically.
Yes. The AI vision system is trained and adaptable across woven, knit, denim, and technical fabric types. Defect sensitivity parameters can be adjusted per fabric type or order.
Every inspected panel is logged with a unique ID, defect status, defect category, operator ID, timestamp, and order reference. This data is stored and can be retrieved for any audit or buyer review.
Yes. It improved carbon footprint by saving energy, paper as per ESG Norms and it is a green initiative