Location History:
- Shanghai, CN (2020)
- Jeddah, SA (2020)
Company Filing History:
Years Active: 2020
Title: Innovations by Inventor Qi Kang
Introduction
Qi Kang is a notable inventor based in Shanghai, China. He has made significant contributions to the fields of computer vision and photovoltaic technology. With a total of 3 patents, his work focuses on enhancing the performance and efficiency of various systems.
Latest Patents
One of Qi Kang's latest patents is a "System for fast and accurate visual domain adaptation." This invention addresses the challenges of training accurate models in computer vision when there are insufficient labeled images. By utilizing visual adaptation from source to target domains, the system enhances performance on target classification tasks. The Generative Adversarial Distribution Matching (GADM) algorithm is implemented to minimize cross-domain distribution differences, ensuring high accuracy and stability in classification performance.
Another significant patent is the "Monitoring and fault detection method and system for photovoltaic plants." This system employs an unsupervised method for intelligent performance evaluation and data-driven fault detection. It allows engineers to monitor photovoltaic panels effectively and implement timely maintenance. By classifying monitored data into subsets and using regression prediction models, the system achieves real-time performance monitoring and provides operational suggestions to engineers.
Career Highlights
Qi Kang is affiliated with King Abdulaziz University, where he continues to innovate and contribute to research in his fields of expertise. His work has garnered attention for its practical applications and advancements in technology.
Collaborations
Some of his coworkers include Yusuf Abdulaziz Al-Turki and Abdullah Abusorrah, who collaborate with him on various projects and research initiatives.
Conclusion
Qi Kang's contributions to innovation in computer vision and photovoltaic technology demonstrate his commitment to advancing these fields. His patents reflect a deep understanding of complex systems and a drive to improve efficiency and performance.