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?
 
	
		
			| Feature Type | Examples | 
		
			| Hole Patterns | Number, spacing, diameter of holes | 
		
			| Outer Shape | Brackets, L-shapes, Z-shapes, irregular outlines | 
		
			| Slots/Notches | Cutouts or key features for differentiation | 
		
			| Size & Dimension | Length, width, thickness, diagonal, radius | 
		
			| Bend Profiles | Angle or shape after forming | 
		
			| Surface Text (Optional) | Engraved serials or codes (OCR supported) | 
	
                
                
                
                
                
                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