Company Filing History:
Years Active: 2022-2024
Title: Innovations by Yepeng Liu in Object Detection Technology
Introduction
Yepeng Liu is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of object detection technology, holding a total of 4 patents. His work focuses on enhancing the accuracy and efficiency of object detection models, which are crucial in various applications, including robotics and computer vision.
Latest Patents
One of Liu's latest patents is titled "Object detection model generation method and electronic device and computer readable storage medium using the same." This patent describes a method for generating an object detection model that improves detection accuracy through iterative training. The process involves sequentially determining the detection accuracy of iteration nodes and enhancing mis-detected negative samples to optimize the model's performance.
Another notable patent is the "Method and device for detecting blurriness of human face in image and computer-readable storage medium." This invention outlines a method for detecting the blurriness of human faces in images. It includes steps for face detection, cropping, and utilizing neural network models for both preliminary and deep detection of blurriness, ensuring high accuracy in image processing.
Career Highlights
Yepeng Liu is currently employed at Ubtech Robotics Corp Ltd, a leading company in the robotics industry. His role involves developing advanced technologies that enhance robotic capabilities, particularly in the realm of visual perception and object recognition.
Collaborations
Liu has collaborated with notable colleagues such as Jun Cheng and Yusheng Zeng. Their combined expertise contributes to the innovative projects at Ubtech Robotics, pushing the boundaries of what is possible in robotics and artificial intelligence.
Conclusion
In summary, Yepeng Liu is a key figure in the advancement of object detection technologies. His innovative patents and contributions to the field are paving the way for more intelligent and capable robotic systems.
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