Abstract:
A virtual content provision apparatus and method for augmenting usability of a real object. The virtual content provision apparatus includes a real object information acquisition unit for acquiring real object information corresponding to a real object through an input module, a virtual content search unit for searching for any one piece of virtual content based on the real object information, a virtual interface projection unit for projecting a virtual interface corresponding to the virtual content onto the real object through an output module, a user input detection unit for detecting user input on the virtual interface based on the input module, and a virtual content provision unit for, when the user input is detected, extracting virtual information related to the user input based on the virtual content, and projecting and providing the virtual information to correspond to the real object information through the output module.
Abstract:
Disclosed herein are a cloud server, an edge server, and a method for generating an intelligence model using the same. The method for generating an intelligence model includes receiving, by the edge server, an intelligence model generation request from a user terminal, generating an intelligence model corresponding to the intelligence model generation request, and adjusting the generated intelligence model.
Abstract:
Disclosed herein is a method for controlling a serving robot based on meal context. The method includes receiving table information from a table robot corresponding to each table in a service area and controlling driving of a serving robot using the meal context and a navigation map, and the meal context includes information about the seating positions of customers and meal status information corresponding to the table.
Abstract:
Disclosed herein are an apparatus and method for providing crosswalk pedestrian guidance based on an image and a beacon. The method for providing crosswalk pedestrian guidance based on an image and a beacon may include estimating a walking location based on a beacon signal corresponding to at least one traffic light and first-person view sensor information, analyzing a hazard factor around a pedestrian based on an image acquired from a camera corresponding to the traffic light, predicting a hazard around the pedestrian in combination by considering together the walking location, the hazard factor, and status information of the traffic light, and providing walking guidance to a pedestrian guidance terminal based on the predicted hazard around the pedestrian.