AI-Based Part Identification System for Automotive Warehouses
Published on: Oct 10, 2025
Written by: Content team, Intelgic
Introduction
In large automotive warehouses, thousands of parts — from small brackets and clips to large structural components — flow in and out daily. Before these parts are labeled, stored, or dispatched, it’s critical to ensure each part is correctly identified.
Errors in identification lead to:
- Wrong labeling
- Misplaced parts
- Delayed shipments
- Costly returns or assembly disruptions
Traditional barcode-based or manual identification methods are not always feasible — especially when:
- Parts are new, unlabeled, or variant-heavy
- Barcodes are missing or damaged
- Small or similar-looking parts vary only by subtle features (hole count, size, etc.)
That’s where Intelgic’s Machine Vision AI Part Recognition System steps in.
Intelgic’s Solution: Visual Feature-Based Part Identification
Intelgic’s system uses high-resolution industrial cameras and AI-based image analysis to identify parts based on their physical and visual features — with high accuracy, even for parts with subtle differences.
Key Features
- Reads dimensions and measurements with micron-level precision
- Counts holes, cutouts, slots, notches
- Detects contours, shapes, edge profiles
- Matches against trained part database (CAD or sample images)
- Supports variant switching in real-time (auto-recipe selection)
- Integrates with labeling, storing, and dispatch workflows
How It Works
- Image Capture
Parts are placed under the camera system or pass through on a conveyor. A top-down or multi-angle imaging system captures clear images using optimized lighting.
- Feature Extraction
The software detects key features like:
- Number and location of holes
- Outer and inner contours
- Overall length, width, and thickness
- Presence of slots, ribs, notches, bends, threads, etc.
- AI-Based Identification
Live Vision AI compares the detected features with its internal trained database of parts, instantly matching the part to its ID, name, and label information.
- Triggering Next Steps
Based on identification, the system can:
- Print & apply the correct label
- Send sorting signal to robotic arm or diverter
- Record identification data into MES/ERP
- Flag unknown or untrained parts
What Features Can Be Used for Identification?
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Feature Type
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Examples
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Hole Patterns
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Number, spacing, diameter of holes
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Outer Shape
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Brackets, L-shapes, Z-shapes, irregular outlines
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Slots/Notches
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Cutouts or key features for differentiation
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Size & Dimension
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Length, width, thickness, diagonal, radius
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Bend Profiles
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Angle or shape after forming
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Surface Text (Optional)
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Engraved serials or codes (OCR supported)
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Applications in Automotive Warehouses
- Pre-labeling stations — Accurate part ID before applying barcode/RFID
- Sorting before dispatch — Ensure correct shipment by matching parts to orders
- Storage optimization — Route to proper bins, racks, or FIFO zones
- Variant verification — Visually confirm part version when barcodes are identical or reused
- Assembly kitting — Ensure the right parts are packed for assembly line kits
Benefits for Warehouse Operations
- Zero error in labeling — Reduces wrong shipments and misplacement
- Faster part processing — No need for manual matching or paperwork
- Digital traceability — Each identification event is logged with images and metadata
- Works with unlabeled parts — Ideal for new arrivals, returns, or WIP
- Saves cost and time — Eliminates expensive identification errors
Integration & Customization
Intelgic’s solution can be deployed as:
- A standalone station with camera + AI box + label printer
- A conveyor-based system with automatic part detection
- A robotic arm-integrated station for part picking and placement
- An AI edge device connected to your warehouse management system
Supports:
- MES / ERP / WMS integration
- API-based communication
- Real-time analytics and dashboards
- On-prem or cloud deployment options
Ready to Transform Your Warehouse?
Intelgic helps automotive manufacturers and suppliers build smart, error-free warehouses with its AI-powered part recognition system.
Request a Demo