Smartphone Glass Inspection System

Sergey Turko, Liudmila Burmak, Ilya Malyshev, Stanislav Shtykov, Mikhail Popov, Pavel Filimonov, Alexandr Aspidov, Alexandr Aspidov, Andrei Shcherbinin

Abstract

In this paper we address the problem of detection and discrimination of defects on smartphone cover glass. Specifically, scratches and scratch-like defects. An automatic detection system which allows to detect scratches on the whole surface of a smartphone’s cover glass without human participation is developed. The glass sample is illuminated sequentially from several directions using a special ring illumination system and a camera takes a dark-field image at each illumination state. The captured images show a variation of the defect image intensity depending on the illumination direction. We present a pipeline of detecting scratches on images obtained by our system using convolutional neural networks (CNN) and particularly U-net-like architecture. We considered the scratch detection problem as a semantic segmentation task. The novel loss technique for solving the problem of imbalance, sparsity and low representability of data is presented. The proposed technique solves two tasks simultaneously: segmentation and reconstruction of the provided image. Also, we suggest a nested convolution kernels to overcome the problem of overfitting and to extend the receptive field of the CNN without increasing trainable weights.

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Paper Citation


in Harvard Style

Turko S., Burmak L., Malyshev I., Shtykov S., Popov M., Filimonov P., Aspidov A. and Shcherbinin A. (2021). Smartphone Glass Inspection System.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 655-663. DOI: 10.5220/0010223306550663


in Bibtex Style

@conference{icaart21,
author={Sergey Turko and Liudmila Burmak and Ilya Malyshev and Stanislav Shtykov and Mikhail Popov and Pavel Filimonov and Alexandr Aspidov and Andrei Shcherbinin},
title={Smartphone Glass Inspection System},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={655-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010223306550663},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Smartphone Glass Inspection System
SN - 978-989-758-484-8
AU - Turko S.
AU - Burmak L.
AU - Malyshev I.
AU - Shtykov S.
AU - Popov M.
AU - Filimonov P.
AU - Aspidov A.
AU - Shcherbinin A.
PY - 2021
SP - 655
EP - 663
DO - 10.5220/0010223306550663