Deep Learning enabled Computer Vision in Remanufacturing and Refurbishment applications: Defect Detection and Grading for Smart Phones

This project combines the use of Deep Learning using Computer Vision for Remanufacturing End of Life consumer electronics products, like smart phones, wearables like fitness trackers and smart watches which could be used in a secondary market alongside new ones to meet consumer demand. The process of refurbishment of these devices is a growing industry but heavily dependent on manual labour which brings in subjectivity of decisions, especially in grading. Deep Learning based computer vision in this work achieves high accuracy, greater than 80% in detecting defects on phones and determining phone grades, to ensure high consistent throughput rate in the remanufacturing process, thereby more sustainability.