An electronic device that includes a vision system carried by a bracket assembly is disclosed. The vision system may include a first camera module that captures an image of an object, a light emitting element that emits light rays toward the object, and a second camera module that receives light rays reflected from the object. The light rays may include infrared light rays. The bracket assembly is designed not only carry the aforementioned modules, but to also maintain a predetermined and fixed separation between the modules. The bracket assembly may form a rigid, multi-piece bracket assembly to prevent bending, thereby maintaining the predetermined separation. The electronic device may include a transparent cover designed to couple with a housing. The transparent cover includes an alignment module designed to engage a module and provide a moving force that aligns the bracket assembly and the modules to a desired location in the housing.

An electronic device for optical character recognition (OCR) and method of operation of the electronic device. The electronic device for optical character recognition comprises a memory and a processor electrically connected with the memory. The processor is configured to store, in the memory, at least one content and at least one word position table individually corresponding to the at least one content, obtain an image for at least one character scanned on a printed document by an electronic pen, identify a content corresponding to the image from the at least one content, identify a word position table corresponding to the identified content from the at least one word position table, and obtain resultant information recognized by from the optical character recognition on the image based on the identified word position table and original data of the identified content. Other various embodiments are also possible.

A method and apparatus for controlling an image acquisition device are provided. The method includes that: multiple images photographed by multiple image acquisition devices are acquired; an active image acquisition device and an inactive image acquisition device in the multiple image acquisition devices are determined according to the multiple images; the active image acquisition device is controlled to photograph a first image by using a first configuration, and the inactive image acquisition device is controlled to photograph a second image by using a second configuration; the first image transmitted by the active image acquisition device is acquired, and the second image transmitted by the inactive image acquisition device is acquired, and a bandwidth required by the active image acquisition device to transmit the first image is greater than a bandwidth required by the inactive image acquisition device to transmit the second image.

A method and apparatus for controlling an image acquisition device are provided. The method includes that: multiple images photographed by multiple image acquisition devices are acquired; an active image acquisition device and an inactive image acquisition device in the multiple image acquisition devices are determined according to the multiple images; the active image acquisition device is controlled to photograph a first image by using a first configuration, and the inactive image acquisition device is controlled to photograph a second image by using a second configuration; the first image transmitted by the active image acquisition device is acquired, and the second image transmitted by the inactive image acquisition device is acquired, and a bandwidth required by the active image acquisition device to transmit the first image is greater than a bandwidth required by the inactive image acquisition device to transmit the second image.

An image or a video may include a spherical capture of a scene. A punchout of the image or the video may provide a panoramic view of the scene.

A computer-executable method and system for querying sensor data of a plurality of sensors is provided. Sensor data is received that comprising sensor data values sampled by a first sensor of said plurality of sensors according to a first compressive sampling scheme. The first compressive sampling scheme can be applied by the first sensor within a sampling time window and the received sensor data corresponds to samples of a signal within the sampling time window. The sensor data is stored in a first database. A frequency decomposition of the signal is computed based on a sparsifying transform associated with the first compressive sampling scheme and the received sensor data. The frequency decomposition comprises one or more frequency components. The one or more frequency components are stored in a second database. A query is received from a client. The query specifies an event that indicates a critical signal condition of a signal. It is detected whether the event exists using the received sensor data or the one or more frequency components.

A computer-executable method and system for querying sensor data of a plurality of sensors is provided. Sensor data is received that comprising sensor data values sampled by a first sensor of said plurality of sensors according to a first compressive sampling scheme. The first compressive sampling scheme can be applied by the first sensor within a sampling time window and the received sensor data corresponds to samples of a signal within the sampling time window. The sensor data is stored in a first database. A frequency decomposition of the signal is computed based on a sparsifying transform associated with the first compressive sampling scheme and the received sensor data. The frequency decomposition comprises one or more frequency components. The one or more frequency components are stored in a second database. A query is received from a client. The query specifies an event that indicates a critical signal condition of a signal. It is detected whether the event exists using the received sensor data or the one or more frequency components.

An electronic device that includes a vision system carried by a bracket assembly is disclosed. The vision system may include a first camera module that captures an image of an object, a light emitting element that emits light rays toward the object, and a second camera module that receives light rays reflected from the object. The light rays may include infrared light rays. The bracket assembly is designed not only carry the aforementioned modules, but to also maintain a predetermined and fixed separation between the modules. The bracket assembly may form a rigid, multi-piece bracket assembly to prevent bending, thereby maintaining the predetermined separation. The electronic device may include a transparent cover designed to couple with a housing. The transparent cover includes an alignment module designed to engage a module and provide a moving force that aligns the bracket assembly and the modules to a desired location in the housing.

An electronic device for optical character recognition (OCR) and method of operation of the electronic device. The electronic device for optical character recognition comprises a memory and a processor electrically connected with the memory. The processor is configured to store, in the memory, at least one content and at least one word position table individually corresponding to the at least one content, obtain an image for at least one character scanned on a printed document by an electronic pen, identify a content corresponding to the image from the at least one content, identify a word position table corresponding to the identified content from the at least one word position table, and obtain resultant information recognized by from the optical character recognition on the image based on the identified word position table and original data of the identified content. Other various embodiments are also possible.

A 3D (three dimensional) model reconstruction method that includes the steps outlined below. Depth data of a target object corresponding to a current time spot is received. Camera pose data of the depth camera corresponding to the current time spot is received. Posed 3D point clouds corresponding to the current time spot are generated according to the depth data and the camera pose data. Posed estimated point clouds corresponding to the current time spot are generated according to the camera pose data corresponding to the current time spot and a previous 3D model corresponding to a previous time spot. A current 3D model of the target object is generated according to the posed 3D point clouds based on a difference between the posed 3D point clouds and the posed estimated point clouds.