Company Filing History:
Years Active: 2025
Title: Jey Yoon Ru: Innovator in Food Identification and Auto Segmentation Technologies
Introduction
Jey Yoon Ru is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of food identification and image segmentation through his innovative patents. With a total of 3 patents, Jey Yoon Ru continues to push the boundaries of technology in his area of expertise.
Latest Patents
One of his latest patents is titled "Method and apparatus for identifying food using multimodal model." This invention provides a method and apparatus for identifying food by utilizing a multimodal model. The process involves setting a variety of food images from different classes as pre-learning targets. A multimodal model is pre-learned for each food image, ensuring that the text feature paired with an image feature is more similar to the image feature than other text features. This allows for accurate identification of food from input images using the pre-learned model.
Another notable patent is "Methods and apparatuses for auto segmentation using bounding box." This invention outlines a method and apparatus for auto segmentation that employs a bounding box. The method includes receiving an object image labeled with a bounding box as a pre-learning target. A segmentation model is learned by classifying the object and background from the bounding box of the received image. This model is then used to segment an object from a second image that serves as the identification target.
Career Highlights
Jey Yoon Ru is currently employed at Nuvi Labs Co., Ltd., where he applies his expertise in developing innovative solutions. His work has garnered attention for its practical applications in food technology and image processing.
Collaborations
He collaborates with talented individuals such as Dae Hoon Kim and Luca Pimenta Medeiros, contributing to a dynamic work environment that fosters innovation.
Conclusion
Jey Yoon Ru is a dedicated inventor whose work in food identification and image segmentation is paving the way for advancements in technology. His innovative patents reflect his commitment to enhancing the capabilities of multimodal models and segmentation techniques.