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Full-Text Articles in Engineering
Computer Vision-Based Automatic Railroad Crossing Monitoring And Track Inspection, Feng Guo
Computer Vision-Based Automatic Railroad Crossing Monitoring And Track Inspection, Feng Guo
Theses and Dissertations
Currently, there are many imminent challenges in the railroad infrastructure system of the United States, impacting the operation, safety, and management of railroad transportation. In this work, three major challenges which are overcrowded traffic congestion at the grade crossing, low-efficiency and accuracy on inspection of missing or broken rail track components, and dense rail surface defects without quantification, respectively are studied. The congested railroad grade crossing not only introduces significant traffic delays to travelers but also brings potential safety concerns to the first responders. However, limited studies have been devoted on developing an intelligent traffic monitoring system which is significant …
High-Speed Image Classification For Resource-Limited Systems Using Binary Values, Taylor Scott Simons
High-Speed Image Classification For Resource-Limited Systems Using Binary Values, Taylor Scott Simons
Theses and Dissertations
Image classification is a memory- and compute-intensive task. It is difficult to implement high-speed image classification algorithms on resource-limited systems like FPGAs and embedded computers. Most image classification algorithms require many fixed- and/or floating-point operations and values. In this work, we explore the use of binary values to reduce the memory and compute requirements of image classification algorithms. Our objective was to implement these algorithms on resource-limited systems while maintaining comparable accuracy and high speeds. By implementing high-speed image classification algorithms on resource-limited systems like embedded computers, FPGAs, and ASICs, automated visual inspection can be performed on small low-powered systems. …