Company Filing History:
Years Active: 2022-2025
Title: Innovations of Yunze Zeng
Introduction
Yunze Zeng is a prominent inventor based in San Jose, California. He has made significant contributions to technology, holding a total of eight patents. His work focuses on advanced systems that enhance detection and recognition capabilities in various applications.
Latest Patents
One of Yunze Zeng's latest patents is titled "Systems and methods for detecting symptoms of occupant illness." This invention involves a storage system configured to maintain a visualization application and data from multiple sources, including image sources. The processor in this system is designed to receive data, execute human-detection models, and recognize symptoms of illness. It can determine the location of these symptoms and display relevant information through a user interface. The visualization application can show a background image with indicators for each recognized symptom location. Additionally, data from audio, image, and radar sources can be fused for enhanced accuracy.
Another notable patent is the "Ultra-wideband intelligent sensing system and method for car states detection." This system determines vehicle states based on UWB signals received at various nodes. It computes channel-impulse responses and extracts features to identify vehicle states using machine learning classification algorithms. This innovative approach enhances the understanding of vehicle dynamics and safety.
Career Highlights
Yunze Zeng is currently employed at Robert Bosch GmbH, where he continues to develop cutting-edge technologies. His work at Bosch allows him to collaborate with other talented professionals in the field.
Collaborations
Some of Yunze Zeng's coworkers include Vivek Jain and Sushanta Mohan Rakshit. Their collaboration fosters an environment of innovation and creativity, contributing to the advancement of technology.
Conclusion
Yunze Zeng's contributions to the field of technology through his patents demonstrate his commitment to innovation. His work not only addresses current challenges but also paves the way for future advancements in detection and recognition systems.