Identical Part Recognition System Using AI and Machine Vision

Intelgic’s intelligent part recognition system uses high-resolution industrial cameras and AI to distinguish between nearly identical parts — based on holes, dimensions, shapes, and micro features.

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Visual Features Scanning for Part Recognition

In the automotive industry and other high-precision manufacturing sectors, production lines and warehouses handle thousands of parts that look nearly identical — yet serve different functions and assemblies. These may include:

Small engine components

Pins and shafts

Gears and spacers

Brackets and stamped parts

Fittings, seals, and washers

A slight variation in hole count, placement, dimension, or geometry can define a completely different part number. Relying on human eyes, barcode tags, or manual checks is prone to errors — leading to mislabeling, misassembly, rework, or warranty failures.

Intelgic’s AI-Based Part Recognition System

Intelgic provides a turnkey machine vision and AI-powered solution that visually inspects and recognizes parts based on physical features, not labels or barcodes.

Key Capabilities

Measures dimensions and geometry with micron precision

Counts and locates holes, drills, cutouts, slots, notches

Analyzes complex shapes and contours

Matches part against trained reference dataset (CAD/image)

Integrates with labeling, sorting, or MES systems

Whether in assembly lines, warehouses, or quality stations, the system ensures each part is correctly identified in real time.

How the System Works

1. Image Capture

A high-resolution camera captures the part (top view, side view, or multiple angles depending on geometry).

2. Feature Extraction

AI detects all relevant physical features:

  • Outer shape and profile
  • Hole count and hole positions
  • Length, width, and thickness
  • Drills, engravings, slots, cutouts
  • Thread presence (if visible)

3. Part Matching via AI

The system compares the visual features against the trained database to find the correct part ID or part number.

4. Output

Based on identification, the system:

  • Triggers the correct label
  • Sends command to sorting/diverter
  • Updates ERP/MES with part recognition data

Applications

Assembly Verification

Confirm part identity before final assembly

Pre-labeling Identification

Identify bare or unlabeled parts before printing a label

Sorting & Binning

Automate part segregation into bins or containers

Warehouse Part Matching

Recognize returned, unlabeled, or mixed parts

Variant Differentiation

Distinguish between lookalike variants with different specs

Parts Commonly Recognized

Receptacle pins

Gears, spacers, rings

Fuel injector components

Bushings and sleeves

Weld nuts and threaded inserts

Laser-cut brackets with different drill patterns

Technology Stack

Imaging Hardware

  • 20–65 MP area-scan cameras
  • Optional multi-camera or robotic-camera systems
  • Telecentric or zoom lenses for accurate measurement
  • Custom lighting (coaxial, low-angle, dome, bar lights)

Live Vision AI Software

  • Region-wise feature extraction
  • AI + Rule-based hybrid classification
  • Pass/fail logic + part matching confidence scores
  • Recipe-based variant switching
  • On-premise or cloud-connected architecture

Integration

  • Label printers, conveyors, PLCs
  • MES / ERP / WMS systems
  • REST API available for data exchange
  • Digital Quality Certificate (DQC) generation (optional)

Benefits

100% Accuracy

Even for lookalike parts with subtle differences

Eliminate Errors

No more mislabeling or part mix-ups

AI Learning

Improves accuracy over time with continuous training

Adaptability

Handles different part types and sizes

Full Traceability

Comprehensive inspection reports and images

Cost Savings

Reduces rework and production delays

Industries Served

Automotive and Tier 1 suppliers

Aerospace and defense

Heavy machinery

ectronics and connector manufacturers

Precision components suppliers

Let Intelgic Help You Identify Every Part — Accurately

Intelgic’s advanced part recognition system is trusted by leading manufacturers to ensure no wrong part enters the wrong box or assembly line.

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