Abstract:
Disclosed herein are a method and apparatus for detecting a disaster based on images. The apparatus includes an image capture unit for capturing video using at least one camera and controlling the camera based on a camera control signal received from the outside; a disaster detection unit for generating a disaster log based on the video captured using the camera; a disaster analysis unit for calculating a disaster occurrence probability value based on the disaster log and determining whether to enter a camera control mode based on the disaster occurrence probability value; and a disaster alert unit for warning of a disaster based on a disaster alert request signal.
Abstract:
Disclosed herein are an experience ride representation apparatus and method for a real-sense media service based on a multi-vision. An experience ride representation apparatus for a real-sense media service based on a multi-vision in which a motion of a user is reflected so as to move in a plurality of screen units depending on a first signal received from the user, a second signal is transmitted to the user based on real-sense media contents reproduced on the screen unit, and metaverse contents are provided to a plurality of users when the screen unit is shared by the plurality of users.
Abstract:
Provided is a sensory effect representation apparatus including a collection unit configured to collect user status information about a user status, a storage unit configured to store sensory effects; an analysis unit configured to analyze the user status information to generate a user status prediction pattern, a sensory effect recommendation unit configured to recommend a sensory effect corresponding to the user status prediction pattern, from among the stored sensory effects; and a sensory effect provision unit configured to read a sensory effect corresponding to the sensory effect prediction pattern, from the storage unit and provide the read sensory effect. Accordingly, it is possible to provide a sensory effect appropriate for a user characteristic by predicting a user status and reflecting a feedback on a recommended sensory effect.