Automatic Surface Defect Inspection System Using Convolutional Neural Networks
نویسندگان
چکیده
منابع مشابه
Fabric defect inspection system using neural network
In a Least Developed Country (LDC) like Bangladesh where the textile is the main core of the economy, there is a major drawback in this sector which is the defect detection of the fabric. In the manual fault detection system with highly trained inspectors, very less percentage of the defects is being detected in upon fabrics in the textile industries. But a real time automatic system can increa...
متن کاملAutomatic Tagging Using Deep Convolutional Neural Networks
We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs). We evaluate different architectures consisting of 2D convolutional layers and subsampling layers only. In the experiments, we measure the AUC-ROC scores of the architectures with different complexities and input types using the MagnaTagATune dataset, where a 4-layer architecture shows ...
متن کاملDecision Support System for Age-Related Macular Degeneration Using Convolutional Neural Networks
Introduction: Age-related macular degeneration (AMD) is one of the major causes of visual loss among the elderly. It causes degeneration of cells in the macula. Early diagnosis can be helpful in preventing blindness. Drusen are the initial symptoms of AMD. Since drusen have a wide variety, locating them in screening images is difficult and time-consuming. An automated digital fundus photography...
متن کاملAutomatic Inspection System for Cmos Camera Defect
This paper presents a development of automatic complementary metal-oxidesemiconductor (CMOS) camera inspection system to examine defects. The image capture board based on embedded linux using system-on-a-chip (SoC) and a complex programmable logic device (CPLD) is developed to capture CMOS sensor data. The captured sensor data is transferred to the host computer through TCP/IP socket communicat...
متن کاملFabric Inspection System using Artificial Neural Networks
-Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is carried out manually with human visual inspection for a long time. The work of inspectors is very tedious and consumes time and cost.To reduce the wastage of cost and time, automatic fabric inspection is required. This paper proposes an approach to recognize fabric defects in textile industry for mini...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2020
ISSN: 1757-899X
DOI: 10.1088/1757-899x/999/1/012012