Company Filing History:
Years Active: 2021-2024
Title: **Innovative Contributions of Siheng Xiong in Power Equipment Image Recognition**
Introduction
Siheng Xiong is an accomplished inventor based in Shanghai, China. He has made significant strides in the field of image recognition, particularly pertaining to power equipment. With a commendable portfolio comprising three patents, Xiong's work embodies advancements that benefit the automation and inspection of power systems.
Latest Patents
One of Siheng Xiong’s latest patents, titled "High-precision identification method and system for substations," introduces a sophisticated framework that utilizes a Mask R-CNN object recognition network model. This method enhances the accuracy of image recognition for substations by integrating convolutional neural networks. The system processes input image data for initial recognition and employs an information entropy-based semantic decision tree for result correction, ultimately yielding a precise identification of objects involved in substation operations. The invention is expected to play a crucial role in the development of automated inspection equipment for robotic applications.
In another notable invention, "Method for identifying power equipment targets based on human-level concept learning," Xiong presents a technique that efficiently identifies power equipment using a dataset of annotated images. By training both a neural network and a Bayesian network on this dataset, the method achieves accurate identification through calculated conditional probabilities, allowing for recognition even with limited data samples. This innovation significantly enhances the performance of Mask R-CNN models in power equipment recognition.
Career Highlights
Siheng Xiong is currently affiliated with Shanghai Jiaotong University, where he actively engages in research and development projects alongside esteemed colleagues. His work is characterized by a commitment to pushing the boundaries of technology in image recognition and machine learning applied to power systems.
Collaborations
Throughout his career, Xiong has collaborated with prominent coworkers, including Yadong Liu and Xiuchen Jiang. Their combined expertise contributes to the robust research environment at Shanghai Jiaotong University, fostering innovations that address real-world challenges in power equipment monitoring and automated inspections.
Conclusion
Siheng Xiong’s inventive contributions significantly impact the field of image recognition within the power sector. His cutting-edge patents not only showcase his technical prowess but also highlight the potential for advancements in automation and inspection technologies. As he continues to innovate, the implications of his work stand to enhance operational efficiency and safety in power management systems.