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Computer Vision Based Real-Time Pixel-Level Railroad Track Components Detection System

Reference #: 01467 The University of South Carolina is offering licensing opportunities for Computer vision based real-time pixel-level railroad track components detection system Background: Rail inspection is the practice of examining railroads for flaws that could lead to catastrophic failures. This process takes a lot of time and is typically...

Published: 9/3/2022 | Inventor(s): Yu Qian, Feng Guo

Keywords(s): convolutional neural network, deep learning, image analysis, missing or broken component, railroad track inspection, real-time process

Category(s): Software and Computing, Engineering and Physical Sciences