AI Engine
QuickVisionz
QuickVisionz is the AI brain behind QuickWMS condition assessment. Using state-of-the-art computer vision models including SAM 3 segmentation, it automates grading decisions that traditionally required experienced human assessors.
Features
Instant condition assessment from multi-angle photos
Cosmetic defect detection: scratches, dents, cracks, discoloration
Missing component identification from reference models
SAM 3 segmentation for precise defect localization
Category-specific fine-tuned models for 50+ categories
Confidence scoring with human-in-the-loop routing
Continuous learning from grader feedback
Sub-3-second inference on GPU infrastructure
Edge inference support for offline stations
Multi-modal analysis (visual + text from barcode data)
Batch processing for high-volume photo assessment
Model versioning and A/B testing framework
How It Works
1
Capture
Follow guided workflow to photograph items from required angles.
2
Analyze
Vision models process images in under 3 seconds with defect detection.
3
Grade
AI generates grade recommendation with confidence score and reasoning.
4
Learn
Human overrides feed back into the model for continuous improvement.
Integration Points
QuickVisionz connects with these modules to form a seamless workflow.
QuickProcessingQuickGradezQuickRefurbzQuickListingz
Other Modules in Vision AI
See QuickVisionz in Action
Get a personalized walkthrough of QuickVisionz and the full Vision AI pipeline.