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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: 7/10/2026
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Updated: 11/15/2022
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Inventor(s): Yu Qian, Youzhi Tang
Keywords(s): deep learning, Facial recognition, mobile computing, Spiking neural networks
Category(s): Software and Computing
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Projection System for Visual Morphing of Patient Disease
Reference #: 01430
The University of South Carolina is offering licensing opportunities for Projection System for Visual Morphing of Patient Disease
Background:
Many patients fail to truly understand the implications of their condition. They sometimes neglect how their disease can progress and thus do not prioritize their medications and needed lifestyle...
Published: 7/10/2026
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Updated: 5/13/2021
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Inventor(s): Richard Hoppmann, Steven Wilson, Robert (Toufic) Haddad, Floyd Bell
Keywords(s): age-progression, AI, artificial intelligence, deep learning, disease-progression, education, educational device, Medical images, morphing, pathology, predictions, real-time
Category(s): Health Sciences, Software and Computing
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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: 7/15/2026
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Updated: 5/7/2021
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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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