Search Results - yu+qian

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Facial Recognition Based on Converted Spiking Neural Network
Reference #: 01602 The University of South Carolina is offering licensing opportunities for Facial Recognition Based on Converted Spiking Neural Network Background: The current method for facial recognition requires a lot of computing resources (high-performance computers) which is not portable, and the accuracy is very limited. Invention Description: We...
Published: 5/9/2023   |   Inventor(s): Yu Qian, Youzhi Tang
Keywords(s): deep learning, Facial recognition, mobile computing, Spiking neural networks
Category(s): Software and Computing
Predicting Railroad Ballast Fouling Conditions Based on Ballast Image
Reference #: 01616 The University of South Carolina is offering licensing opportunities for Predicting Railroad Ballast Fouling Conditions Based on Ballast Image Background: Evaluating railway ballast fouling conditions are critical to assessing track conditions and arranging proper ballast maintenance. The fouled ballast affects the performance...
Published: 8/8/2023   |   Inventor(s): Yufeng Gong, Yu Qian
Keywords(s): fouled ballast, fouling severity prediction, image analysis, Railroad, RGB distribution, track maintenance
Category(s): Engineering and Physical Sciences
Routes Optimization System Based on Railroad and Street Traffic Information
Reference #: 01565 The University of South Carolina is offering licensing opportunities for Routes Optimization System Based on Railroad and Street Traffic Information Background: Current navigation systems, such as Google Maps, Apple Maps, calculates the optimal route based on the street traffic information. But still, the travelers would need to...
Published: 1/31/2023   |   Inventor(s): Yu Qian, Yuche Chen
Keywords(s): delay, dynamic programming, optimal route selection, Railroad crossing blockage, street traffic
Category(s): Software and Computing, Engineering and Physical Sciences
Autonomous Drone for railroad track inspection
Reference #: 01564 The University of South Carolina is offering licensing opportunities for Autonomous Drone for railroad track inspection Background: The current practices suffer from three main drawbacks: 1) Human pilot cost is significant. The schedule of the drone-based track inspection is contingent on the pilot’s availability rather than...
Published: 3/15/2023   |   Inventor(s): Yu Qian, Yi Wang, Chen Chen
Keywords(s): autonomous drone, flight control, image processing, railroad track inspection, self-navigation
Category(s): Engineering and Physical Sciences
Portable Railroad Spike Inspection System based on Acoustic Signals
Reference #: 01567 The University of South Carolina is offering licensing opportunities for Portable Railroad Spike Inspection System based on Acoustic Signals Background: It is reported that broken spikes were observed frequently, including cut spikes, screw spikes, and driven spikes that were used to restrict both tie plates and rails. Since the...
Published: 3/27/2023   |   Inventor(s): Yu Qian, Jun Liu
Keywords(s): acoustic emission, hammer excitation, microphone, non-destructive testing, railroad spike, sound wave frequency and pattern, wave propagation
Category(s): Engineering and Physical Sciences
Laser-Based Non-Destructive Spike Defect Inspection System
Reference #: 01473 The University of South Carolina is offering licensing opportunities for Laser-based Non-destructive Spike Defect Inspection System Background: Although many new types of elastic fasteners and concrete ties have been introduced recently, cut spikes (referred as spike hereafter) together with tie plates and timber ties are the dominant...
Published: 1/11/2024   |   Inventor(s): Yu Qian
Keywords(s): acoustic emission, laser excitation, non-destructive testing, railroad spike, wave propagation
Category(s): Engineering and Physical Sciences
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
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