Phase 2Port 3042
QuickVisionz
QuickVisionz uses state-of-the-art computer vision to automate condition assessment. Capture photos and receive instant AI-generated grades, defect detection, and pricing recommendations trained on millions of liquidation items.
Features
Instant AI condition assessment from item photos
Cosmetic defect detection (scratches, dents, cracks)
Missing component identification
Category-specific vision models for higher accuracy
Confidence scoring with human review routing
Continuous learning from grader feedback loops
Multi-angle photo analysis for comprehensive assessment
Guided photo capture for consistent image quality
Grade recommendation with detailed reasoning
Processing speed optimization (under 3 seconds per item)
SAM 3 segmentation for precise defect localization
Edge inference support for offline processing stations
How It Works
1
Capture Photos
Follow guided capture workflow for consistent multi-angle photography.
2
AI Analysis
Vision models detect defects, assess condition, and generate grade recommendation.
3
Human Review
Low-confidence assessments are routed for human verification, training the model.
4
Confirm & Route
Approved grade is applied and item is routed to next workflow step.
Integration Points
QuickVisionz connects with these modules to form a seamless workflow.
QuickProcessingQuickGradezQuickRefurbzQuickListingz
Other Modules in QuickProcessing
See QuickVisionz in Action
Get a personalized walkthrough of QuickVisionz and the full QuickProcessing pipeline.