The present disclosure discloses methods and systems for automatically detecting Infrared (IR) security mark based on unknown halftone frequency information. The method includes receiving a document from a user including an IR security mark. The document is scanned. Then, one or more halftone frequencies associated with the IR security mark portion are estimated. Based on the estimation, the IR security mark portion is classified into a background region and the IR marked region including the IR security mark. The IR security mark is extracted and pixels falling in the IR marked region are reconstructed to identify content in the IR security mark. Finally, the identified content is compared with one or more pre-stored IR security marks to ascertain the presence of the IR security mark in the document for further assessment. This way, the method automatically detects the IR security mark in the document.

A non-transitory computer-readable storage medium storing instructions causing a computer of a case search apparatus to: execute a case search using a dynamic image, and output at least one of a similar case image similar to the dynamic image and a case candidate related to the dynamic image.

A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and/or an occupancy/vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy/vacancy sensor mode, the visible light sensor may be configured to detect an occupancy/vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and/or a special sensor.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for finding lost objects. In some implementations, a video frame is displayed. An input drawing a shape around an area of the video frame is received. A second video frame is displayed. An indication of the shape in the second video frame is displayed. An input to adjust the shape such that the shape is drawn around a second area is received.

A reception unit receives an eye direction input that is an input based on an eye tracking process, and a control unit controls movement of a selected position based on an operation on an operation member. The control unit performs control such that, in a first state in which the selected position is not designated based on the eye direction input, the selected position is moved, in response to the operation member being operated by a predetermined operation amount, by a first amount from a position set before the operation member is operated, and that, in a second state in which the selected position is designated based on the eye direction input, the selected position is moved, in response to the operation member being operated by the predetermined operation amount, by a second amount smaller than the first amount from a position based on the eye direction input.

A method for determining damage caused to a property includes receiving a first image of an object, the first image being captured at a first time. The method further includes receiving a second image of the object, the second image being captured at a second time different from the first time. The method further includes determining that the object in the first image is a same object in the second image and aligning features of the object in the first image to the features of the object in second image. The method further includes determining at least one difference based on a comparison between the first image and the second image. The method further includes determining that the at least one difference indicates damage to the object that exceeds wear and tear depreciation damage based on an amount of elapsed time between the first time and the second time.

Disclosed is a data augmentation-based object analysis model learning apparatus including one or more processors, wherein the operation performed by the processor includes acquiring a first space image including a first object image and generating a second space image by changing pixel information included in the first space image, specifying a bounding box in a region including the first object image in the first space image and labeling a first class specifying the first object image in the bounding box, and primarily learning a weight of a model designed based on a predetermined object detection algorithm, for deriving a correlation between the first object image in the bounding box and the first class, by inputting the first space image to the model, specifying an object image included in a space image based on the correlation.

An information processing method and an electronic device are provided. The method includes: acquiring an instruction for processing an image including a plurality of objects; in response to the instruction for processing the image, obtaining one or more objects, wherein a first object among the one or more objects has an object type consistent with a type of the image; and generating an interactive interface including the one or more objects and the interactive interface being configured for selecting a target object.

A fingerprint image display means displays an input fingerprint image being a fingerprint image which is input and a registered fingerprint image being a fingerprint image which has been registered. A marker acquisition means acquires a position of an input marker which is input by a user with respect to the input fingerprint image being displayed. A marker applying means applies a correspondence marker at a position corresponding to an input marker in the registered fingerprint image. A matching means matches the input fingerprint image to which the input marker is input with the registered fingerprint image to which the correspondence marker has been applied.

The disclosure herein describes generating an application from input content. Input content of a content type is obtained, such as an image file, digital document file, or the like. A content data extractor is selected from a set of content data extractors based on the content type. A set of content entities is extracted from the obtained input content using the selected content data extractor, such as text labels, text boxes, buttons, or the like. The set of content entities are normalized according to a standard interface schema and an application template is generated using the normalized set of content entities, whereby an application can be developed using the generated application template. The disclosure enables application interfaces to be designed using a variety of methods and for those different types of designs to be efficiently converted to a functional application.