Essays about: "Rail Image Classification"

Found 5 essays containing the words Rail Image Classification.

1. 1. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Anton Lu; [2022]
   Keywords : Rail Defect Detection; Rail Image Classification; Rail Joints; Object Detection; Image Classification; Deep Learning; Järnvägsfeldetektering; Järnvägsbildigenkänning; Järnvägsskarvar; Objectigenkänning; Bildklassificering; Djupinlärning;

   Abstract : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. READ MORE

3. 2. A Machine Learning-Based Approach for Fault Detection of Railway Track and its Components

   University essay from Luleå tekniska universitet/Drift, underhåll och akustik

   Author : Johnny Asber; [2020]
   Keywords : Condition Based Maintenance in Railway; Machine Learning; Deep Learning; ResNet-50;

   Abstract : The hard equation of railway safety versus the high commercial profits can only be achieved through the use of new inspection methods supported by modern technologies. The track and its components can have different types of troubles, such as rail surface defects, broken sleepers, missing fasteners, and irregular ballast levels. READ MORE

4. 3. MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

   University essay from Datateknik

   Author : Mihira Manne; [2009]
   Keywords : Artificial intelligence; Non-destructive testing; Rail inspection; Rail transportation; Unsupervised learning; Data fusion;

   Abstract : The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection. READ MORE

5. 4. Real time video segmentation for recognising paint marks on bad wooden railway sleepers

   University essay from Högskolan Dalarna/Datateknik

   Author : Asif ur Rahman Shaik; [2008]
   Keywords : Condition Monitoring; Intelligent Vehicle; Videos; Color Segmentation; Spots objects ; Regions;

   Abstract : Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are based on visual analysis. Machine vision based approach has been done to emulate the visual abilities of human operator to enable automation of the process. READ MORE

6. 5. Machine vision for the automatic classification of images acquired from Non-destructive tests

   University essay from Datateknik

   Author : Gayatri Gutta; [2007]
   Keywords : Artificial intelligence; Non-destructive testing; Automatic data interpretation; Rail inspection; Rail transportation;

   Abstract : This project is based on Artificial Intelligence (A.I) and Digital Image processing (I.P) for automatic condition monitoring of sleepers in the railway track. Rail inspection is a very important task in railway maintenance for traffic safety issues and in preventing dangerous situations. READ MORE