Pixel level defects in LCDs are inevitable due to the manufacturing process of these panels. Thus, it is required to detect this kind of defects during the manufacturing process of LCDs or final products i.e. TV, smart phone or tablets. Conventionally this kind of quality control operations are performed by human operators which makes the process error prone. In this work, we propose a computer vision based automatic inspection system to detect pixel level defects. The proposed approach benefits from convolutional neural networks to detect these kinds of defects. Our experiments reveal that the proposed approach is able to provide superior detection performance.
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LCD Pixel Defect Detection using Shallow CNN Based Approach
Semantic Scholar · Computer Science · 2021
Abstract
Pixel level defects in LCDs are inevitable due to the manufacturing process of these panels. Thus, it is required to detect this kind of defects during the manufacturing process of LCDs or final products i.e. TV, smart phone or tablets. Conventionally this kind of quality control operations are performed by human operators which makes the process error prone. In this work, we propose a computer vision based automatic inspection system to detect pixel level defects. The proposed approach benefits from convolutional neural networks to detect these kinds of defects. Our experiments reveal that the proposed approach is able to provide superior detection performance.