Patent applications filed around applied AI systems with practical industrial and safety value.
intellectual property / applied ai
Patents
These applications reflect work at the intersection of predictive modeling, computer vision, and safety-oriented AI systems developed within the research environment at Chosun University.
Applications submitted through a university-linked research and innovation environment.
Classification, vision-based detection, predictive modeling, and intelligent monitoring systems.
Patent 1: Predictive Model-Based Classification of ATC Codes
This application introduces an electronic device that classifies ATC (Anatomical Therapeutic Chemical) codes using a predictive model. It processes chemical compounds through both structure images and text-based formulas and uses a dual deep learning pipeline for classification.
Filing Date: October 28, 2024
Application No.: 10-2024-0148250
Applicant: Chosun University Industry-Academic Cooperation Foundation
Agent: Patent Corporation Jiwon (Reg. No. 9-2017-100021-1)
Inventors: Prof. Jong-Ho Shin, Chun-Sung Kim, Sook-Young Lee, Tae-Kyung Woo, Min-Seop So, Duncan Kibet
Status: Filed, pending examination
Patent 2: Predictive Model-Based Fall Detection Using Key-Point Analysis
This patent presents a fall detection system built around skeletal key-point analysis and deep learning for real-time monitoring. The method replaces more limited threshold-based or wearable-only systems with AI-assisted visual detection and prediction.
Filing Date: November 19, 2024
Application No.: 10-2024-0164731
Applicant: Chosun University Industry-Academic Cooperation Foundation
Agent: Patent Corporation Jiwon (Reg. No. 9-2017-100021-1)
Inventors: Prof. Jong-Ho Shin, Ha-Hyun Kang, Min-Seop So, Duncan Kibet
Status: Filed, pending examination