AI-Powered Screen Damage Detection
The refurbished device market suffers from delays and inconsistencies in manual phone repair inspection systems. Inspectors often miss micro-cracks or grade severity inconsistently, leading to disputes, returns, and slow refurbishment cycles.
Process maturity
CMMI Level 5
Information security
ISO 27001
Industry experience
25+ years
Global clients served
600+
Project Scope & Challenges
The client needed a mobile device quality control solution to automate screen defect detection across different models and volumes, overcoming manual inspection limits.
Subtle Damage
Cracks visible only at certain angles
Model Variability
Different sizes and materials
High Throughput
Inspecting thousands daily
Manual Limitations
Inconsistent and costly checks
Mapelcode’s Solution
By engineering an AI-driven mobile device repair automation platform through its Artificial Intelligence services , Mapelcode transformed phone inspection into a fast, scalable process.
Multi-Angle CCD Camera System for Phone Screen Inspection to capture every defect
RGB → HSI Color Transformation to enhance defect visibility.
Deep Learning & Object Detection models for detecting minor, moderate, and major screen damage automatically.
Customizable Training Tools allowing clients to upload datasets for new models.
Automated Mobile Screen Grading System for severity classification
Technology Stack
Frontend
CCD Cameras
Image Preprocessing TechniquesBackend
Deep Learning
Computer Vision Models (CNNs)APIs / Services
Nanonets API
OCR IntegrationData Processing
RGB → HSI
Noise Reduction
Angle & Lighting CorrectionResults & Achievements
90%+ Accuracy AI for phone screen inspection across 200,000+ devices
3× Faster Throughput compared to manual inspections
Cross-Model Adaptability across multiple brands and phone types
Cost Savings via reduced manpower dependency
Reliable Mobile Screen Damage Detection that cut disputes and returns
90%+ Accuracy AI for phone screen inspection across 200,000+ devices
3× Faster Throughput compared to manual inspections
Cross-Model Adaptability across multiple brands and phone types
Cost Savings via reduced manpower dependency
Reliable Mobile Screen Damage Detection that cut disputes and returns
Transforming Refurbished Phone Quality Control with AI
Mapelcode’s automated screen inspection demonstrates how mobile screen damage detection powered by AI can reshape the used phone refurbishment technology sector. By combining deep learning, multi-angle phone inspection systems, and customizable training datasets, Mapelcode delivered a solution that accelerates inspections, boosts accuracy, and ensures consistent grading at scale.
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