Iritech, Inc.

Nuvi Labs Co., Ltd.

Other

Samsung Electronics Co., Ltd.

Roborus Co., Ltd.

Hyundai Pharm Co., Ltd.

Dae Hoon Kim

Hyeong In Choi

Seung Min Paik

Sang Ki Lee

Seung Sik Kim

Byoung Jin Jun

Jey Yoon Ru

Jin Woong Kim

Sung Jin Lee

Han Kyu Lee

Haeng Moon Kim

Dong Seok Cho

Ji-Youn Song

Jung Kyo Sohn

Hwan Pyo Moon

Jae Hoon Jeon

KangMook Lim

Song Hwa Kwon

Luca Pimenta Medeiros

Tae Hyun Lee

Jae Hyun Kim

Jin Wook Yang

Ji Yoon Kim

Sang In Lee

Min Woong Seo

Dong Mo Im

Kyu Hwan Lee

Hyung-Ho Choi

Chang Mo Son

Hee Jeong Jeong

Jeong Un Hwang

Hyung Ho Choi

Jang Soo Ryoo

Jae Keol Rhee

Chang Bok Lee

Hong Gi Kim

Jun Sung Park

Jeong-Un Hwang

Cheul Min Kim

Seung-Tae Kang

Myoung Ki Baek

Seung Woo Ji

Hyuck-Joo Lee

Jung-In Jang

Min Su Oh

Tran Ho Truc Phan

Kyu-Hwan Lee

Hyun-Hwa La

Neul Ha

Seung Woon Ryu

Hyun-Ho Yoon

Thi Thanh Tuyen Nguyen

Vladimir Novik

Jung Woon Ryu

Provided are a method and an apparatus for identifying food using a multimodal model. A method for identifying food using a multimodal model according to one embodiment of the present disclosure comprises setting a plurality of food images belonging to different classes as pre-learning targets; pre-learning a multimodal model for each of the plurality of food images set as the pre-learning target so that a text feature paired with an image feature is more similar to the image feature than the other text features not paired with the image feature; and identifying food to be identified from input food images using the pre-learned multimodal model.

Method and apparatus for identifying food using multimodal model

Provided are a method and an apparatus for auto segmentation using a bounding box. A method for auto segmentation using a bounding box according to one embodiment of the present disclosure comprises receiving a first object image including an object labeled with a bounding box, which is a pre-learning target, learning a segmentation model by classifying an object and a background from the bounding box of the received first object image, and segmenting an object from a second object image, which is an identification target, using the learned segmentation model.

Methods and apparatuses for auto segmentation using bounding box

The present invention relates to a compound represented by Formula 1 wherein A, B, L, X, and Rto Rare as described herein, or a pharmaceutically acceptable salt thereof, which serves as a GLP-1 receptor agonist and may be useful in the prevention or treatment of a disease associated with GLP-1 activity.

GLP-1 receptor agonist

An image sensor includes a plurality of unit pixels, each including: a substrate including first and second sides which are opposite to each other, a photoelectric conversion layer in the substrate, and a wiring structure on the first side of the substrate. The wiring structure may include: a first capacitor, a second capacitor spaced from the first capacitor, a plurality of edge vias arranged along edges of the unit pixel, and a plurality of central vias interposed between the first capacitor and the second capacitor.

Image sensor

Provided are a method and an apparatus for analyzing food using image captioning. A method for analyzing food using image captioning according to one embodiment of the present disclosure comprises generating image captioning data using food image features extracted from a food image; and generating a food name for the food image using the generated image captioning data.

Methods and apparatuses for analyzing food using image captioning

Provided are a food-information inputting method and apparatus. The food-information inputting method may include operating in a photographing mode where an input guide and an input button moved along the input guide are displayed on a photographing screen; and receiving at least one piece of food information using the input guide and the input button, while operating in the photographing mode.

Method and apparatus for inputting food information

The present invention relates to a meal service management system and an operating method therefor, the system being capable of providing information on food ingested by a user to whom a meal service is to be provided and customized information related thereto, and managing food leftover in a meal service. According to an embodiment of the present invention, a scanner device is used such that a user to whom a meal service is to be provided and a food tray before and after meals are identified, and thus a meal service amount and a leftovers food amount are acquired, and leftovers food information of each user and useful information associated therewith are provided on the basis of the same, and thus users can easily determine their eating habits, nutritional status and the like and the users can be induced to attempt reducing leftovers food by themselves.

Meal service management system and operating method therefor

A semiconductor device and an image sensor, the semiconductor device including a substrate; a photoelectric conversion device in the substrate; a first floating diffusion region adjacent to the photoelectric conversion device; a transfer transistor connected to the photoelectric conversion device and the first floating diffusion region; a reset transistor connected to the first floating diffusion region; a dual conversion gain (DCG) transistor between the first floating diffusion region and the reset transistor; a second floating diffusion region between the DCG transistor and the reset transistor; and an extension pattern, a first portion of the extension pattern being in contact with the second floating diffusion region.

Semiconductor device including floating diffusion and extension pattern

The present invention relates to an apparatus and a method for acquiring an iris image outdoors and indoors and, specifically, to an apparatus and a method for acquiring an iris image outdoors and indoors, the apparatus comprising: a lens for receiving the iris image; an image sensor for sensing the iris image inputted through the lens; and a memory for storing the iris image sensed by the image sensor, wherein a band-pass filter using all or parts of outdoor iris recognition wavelength bands (920-1,500 nm) in order to acquire the iris image in which a reflected image is prevented or a reflected noise is reduced, which are generated when the iris image is photographed indoors and outdoors and, particularly, outdoors, is provided at the front end of the image sensor, and an infrared lighting having at least one wavelength passing through the wavelength bands of the provided band-pass filter is provided.

Apparatus and method for acquiring iris image outdoors and indoors

Robot

The present invention relates to a cyclohexene derivative, a preparation method thereof, and a pharmaceutical composition for preventing or treating metabolic disease containing the cyclohexene derivative as an active ingredient. The cyclohexene derivative according to the present invention increases the intracellular activity of cyclic adenosine monophosphate (cAMP) by activating G protein-coupled receptor 119 (GPR-119) and simultaneously exhibits weight loss and hypoglycemic effects by inducing the release of glucagon-like peptide-1 (GLP-1), which is a neuroendocrine protein, and thus can be useful as a pharmaceutical composition for preventing or treating metabolic diseases such as obesity, type 1 diabetes, type 2 diabetes, inadequate glucose tolerance, insulin resistance, hyperglycemia, hyperlipidemia, hypertriglyceridemia, hypercholesterolemia, dyslipidemia and syndrome X.

Cyclohexene derivative, preparation method thereof, and pharmaceutical composition for preventing or treating metabolic disease comprising the same as active ingredient

Computer screen with menu display

A concierge robot system, a concierge service method, and a concierge robot are provided. The system provides an artificial intelligence type of concierge service, and includes: a user interface device that receives an external image and an external voice, and outputs the received image or voice on a screen or by voice; a storage device where a program that provides data through the user interface device based on learning data generated by using a neural network model is stored; and a processor that executes the program, wherein the program includes instructions for recognizing an emotion of a user, identified from the external image based on the learning data, outputting data that represents an emotion according to the emotion recognition to the screen, generating a conversation sentence that corresponds to natural language of web data externally collected through web scraping based on the learning data and outputting it by voice, generating user recommendation data for the identified user based on the learning data, and outputting the user recommendation data on the screen or processing it into natural language and outputting a corresponding conversation sentence by voice.

Concierge robot system, concierge service method, and concierge robot

Growing community of inventors

Seoul, South Korea

Dae Hoon Kim