01 · INSPECTION
Appearance Defect Inspection
Identify defined surface damage, contamination, scratches and other appearance anomalies.
Defect LocalizationAppearance ClassificationEdge AI
INDUSTRIAL VISION INSPECTION
Build Practical Vision Inspection Around the Product
Start with the product, defect target, imaging conditions, models, production timing and system interfaces to inspect appearance, orientation, polarity, completeness, characters and dimensions.
AI
VISION
VISION
Is your core challenge whether the product itself is correct, complete or defect-free?
When the project requires appearance inspection, part counts, orientation or polarity checks, OCR, code reading, dimensional measurement or packaging completeness, Industrial Vision Inspection is the appropriate solution.
INSPECTION TARGETS
Start with the Real Inspection Target and Validate Every Critical State
Combine imaging, AI models, rules and line-side integration for appearance, assembly completeness, OCR, codes, orientation, polarity and dimensional inspection.
02 · INSPECTION
Missing and Incorrect Assembly
Verify part presence, position and assembly completeness.
Part RecognitionCompletenessError-proofing
03 · INSPECTION
OCR Character Recognition
Read labels, printed codes and nameplates and validate content against business rules.
OCRContent VerificationText Localization
04 · INSPECTION
Barcode and QR Code Recognition
Read barcodes and QR codes and associate them with product or work-order information.
Barcode ReadingQR CodeData Association
05 · INSPECTION
Orientation and Polarity Inspection
Validate product orientation, pose and positive or negative polarity.
OrientationPolarityPose Validation
06 · INSPECTION
Dimensional Measurement
Measure critical dimensions, spacing and positional relationships when imaging conditions permit.
DimensionsSpacingPosition
07 · INSPECTION
Foundation-model Assisted Review
Support secondary judgment and human review for complex appearance or multi-condition tasks.
Model FusionSecondary ReviewHuman Review
08 · INSPECTION
Packaging Completeness Inspection
Verify the completeness of products, accessories, labels and packaging operations.
Packaging CheckAccessory RecognitionOperation Validation
AI DETECTION DEMO
From Image Input to Inspection Result and Line-side Action
This coded visualization demonstrates bounding boxes, OK/NG states and result output. It can later be replaced directly with sanitized images or video.
INPUTINFERENCERESULTACTION
STATION 04 · LIVEEDGE AI · REAL-TIME INFERENCE
PART AOKPOSITIONOKLABELREVIEW
DETECTION STATUS2 OK · 1 REVIEW
Result output ready for workflow rules and line-side action.
TECHNICAL FOUNDATION FOR DEPLOYABLE INSPECTION
The inspection target defines the solution, while imaging, models, edge deployment and integration determine whether it can operate reliably on the line.
Target and Imaging
Define imaging around the target, installation space and ambient light.
Models and Rules
Combine vision models and business rules for different products and processes.
Edge Deployment
Perform real-time inference on site and reduce network dependency.
System Integration
Coordinate with PLCs, MES, barcode scanners and production equipment.
VISION INSPECTION PROJECT EXPERIENCE
Among currently approved public cases, the Donglilai project combines packaging workflow confirmation with packaging completeness inspection and is therefore classified as a hybrid solution. Dedicated vision-only cases will be added after supporting materials are confirmed.
ANOTHER PROJECT TYPE
Explore AI-SOP ↗Need to Manage Operator Actions, Process Sequence and Workflow Error-proofing?
If the objective is to determine whether operators follow the correct work sequence, explore AI-SOP.
Next Step
Discuss Your Project ↗Facing a Similar Production Challenge?
Start with a requirement discussion and an on-site feasibility assessment.