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Data collection Web platform SMG
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Data collection Web platform - SMG - SmartMoreInside - data storage / data management / development
Data collection Web platform - SMG - SmartMoreInside - data storage / data management / development
Data collection Web platform - SMG - SmartMoreInside - data storage / data management / development - image - 2
Data collection Web platform - SMG - SmartMoreInside - data storage / data management / development - image - 3
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Characteristics

Function
data management, data collection, industrial, development, engineering, data storage

Description

Product Description
SMore Gauge (SMG) is a high-precision 2D and 3D metrology software platform for industrial measurement tasks. The solution integrates a set of machine vision algorithms — including sub-pixel feature extraction, shape recognition, edge detection, template matching and 3D probing — and exposes them via a zero-code visual interface that enables rapid application assembly by drag-and-drop. SMG is designed for flexibility and scalable deployment to address both standard and customized measurement workflows in automated production and inspection environments.

Product Features
  • High-precision 2D and 3D measurement capabilities
  • Comprehensive machine vision algorithm toolbox
  • Zero-code visual workflow with drag-and-drop components
  • Flexible and scalable for standard and custom measurement tasks
  • Engineered for industrial automation and inline inspection

Machine Vision Algorithms Included
  • Sub-pixel-level feature extraction
  • Shape recognition
  • Edge detection
  • Template matching
  • 3D probe / 3D probing

Software Architecture
The software uses a modular architecture that supports extensibility and integration of algorithm modules. Visual diagrams available on the product page illustrate module interaction, data flow and options for scalable deployment across stations or lines.

Application Cases
  • Precision injection-molded part inspection: implementation covering 70+ measurement items (distance, angle, height, position, profile, flatness, parallelism, etc.)
  • Example performance (case study): GRR ≤ 15%; repeatability ≤ 0.005 mm; correlation ≤ 0.010 mm

Technical Specifications
  • Supported measurement types: 2D and 3D metrology
  • Algorithm capabilities: sub-pixel feature extraction, shape recognition, edge detection, template matching, 3D probing
  • Interface: zero-code visual drag-and-drop workflow
  • Scalability: supports standard and customized measurement tasks and scalable deployment
  • Typical achieved metrics (example case): GRR ≤ 15%; repeatability ≤ 0.005 mm; correlation ≤ 0.010 mm

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