Dan Song

Title: Dan Song - Innovator in Multi-Spectral Data Fusion

Introduction

Dan Song is a prominent inventor based in Beijing, China. He has made significant contributions to the field of multi-spectral data fusion, holding a total of 4 patents. His innovative work focuses on enhancing detection methods and testing devices, which have applications in various industries.

Latest Patents

Dan Song's latest patents include a "Detection method, system, medium and device based on multi-spectral data fusion." This invention provides a comprehensive method that involves collecting near-infrared (NIR) and mid-infrared (MIR) spectra of a substance to be detected. The process includes constructing and training a detection model to predict detection indexes effectively. Another notable patent is the "Testing method and testing device," which outlines a method for configuring testing parameters for objects. This method allows for multi-dimensional testing, improving efficiency and reliability in assessing performance indices.

Career Highlights

Throughout his career, Dan has worked with esteemed organizations such as the National Institute of Metrology, China, and Lenovo (Beijing) Limited. His experience in these institutions has allowed him to refine his skills and contribute to significant advancements in technology.

Collaborations

Dan has collaborated with notable colleagues, including Ying Kan and Ke Li, who have contributed to his innovative projects and research endeavors.

Conclusion

Dan Song's work in multi-spectral data fusion and testing methodologies showcases his dedication to innovation and technology. His patents reflect a commitment to improving detection and testing processes, making a lasting impact in his field.