Can ML Solve this Problem ? Vision Problem - How to approach Damage Detection in Mobile Phones ?

How do you approach Damage Detection in Mobile Phones? 

Detecting defects on phones during exchange

Question - Can it be done with ML? 

• Student Answers - DL Vision

Question - Data Prerequisites?

Student Answers

• Physical damage to vision
• Images of the phone from various angles
• Software issues
• System diagnostics
• Images of cracked screens

Question - Model building

Student Answers

• Cnn classification 2 classes
• Damaged, not damaged
• Multiclass - damaged, degrees of damage (so that can identify price negotiation)
• inside parts, maybe images of phone when it is not damaged?

Real-world Way of Solving 

My Recommendation

• Detect Type of Phone, - Flip / Smart Phone
• Brand Detection (OCR)
• Image Similarity (Good Screen vs Similarity score to what you have)
• Line Detection - Count Cracks on Screen
• Segmentation to detect %% of cracked area
• Measure the deformation in the picture
• Yes / NO - Cracks
• Low / Medium / High
• Centre, Lower, Top

This is not a single model for all needs. This has to be based on brands, models, categories, Defect types, Data Collection, Labelling and Phased Adoption.

Keep Exploring!!!