According to an embodiment, an electronic device may include: a display including a polarization layer, a biometric sensor positioned to at least partially overlap the display, and an optical member including a light condenser positioned between the display and the biometric sensor. The biometric sensor may include a light receiving unit comprising light receiving circuitry configured to receive light emitted from the display and reflected by an external object. A length of the light receiving unit in a first direction, which is a polarization axis direction of the polarization layer, is greater than a length of the light receiving unit in a second direction crossing the first direction.

According to an embodiment, an electronic device may include: a display including a polarization layer, a biometric sensor positioned to at least partially overlap the display, and an optical member including a light condenser positioned between the display and the biometric sensor. The biometric sensor may include a light receiving unit comprising light receiving circuitry configured to receive light emitted from the display and reflected by an external object. A length of the light receiving unit in a first direction, which is a polarization axis direction of the polarization layer, is greater than a length of the light receiving unit in a second direction crossing the first direction.

An imaging apparatus provided inside a vehicle is provided. The imaging apparatus is capable of capturing images with different degrees of sensitivity, and the imaging apparatus captures an image for recognizing an inside of the vehicle with high sensitivity, and captures an image for recognizing an outside of the vehicle with low sensitivity.

An imaging apparatus provided inside a vehicle is provided. The imaging apparatus is capable of capturing images with different degrees of sensitivity, and the imaging apparatus captures an image for recognizing an inside of the vehicle with high sensitivity, and captures an image for recognizing an outside of the vehicle with low sensitivity.

Some embodiments of the present disclosure relate to biometric characteristic detection technology, which provide a method and chip for biometric characteristic acquisition, and a computer readable storage medium. The method for biometric characteristic acquisition includes: acquiring a plurality of configuration parameters, where the plurality of configuration parameters include a first exposure duration, parameters defining a first region and a target photosensitive value, where the first region is a local region in a photosensitive region of the chip for biometric characteristic acquisition; exposing the first region according to the first exposure duration, and acquiring a photosensitive value of the first region; determining a second exposure duration required to acquire the target photosensitive value in the photosensitive region according to the photosensitive value of the first region and the first exposure duration; and acquiring a biometric image according to the second exposure duration.

A system comprising: a document holder; an image sensor directed toward the document holder; a polarized filter between the image sensor and the document holder; a filter motor configured to rotate the polarized filter; one or more processors; and at least one memory having stored thereon computer program code that, when executed by the one or more processors, instructs the one or more processors to: control the filter motor to rotate the polarized filter; control the image sensors to capture a plurality of images of a document within the document holder, the plurality of images corresponding to a respective relative orientations of the polarized filter to the document; identify a feature of the document; and output, in response comparing respective visual characteristics of the feature of the document to corresponding expected visual characteristics of the first feature for the document, an indication of a verification of the document.

A system comprising: a document holder; an image sensor directed toward the document holder; a polarized filter between the image sensor and the document holder; a filter motor configured to rotate the polarized filter; one or more processors; and at least one memory having stored thereon computer program code that, when executed by the one or more processors, instructs the one or more processors to: control the filter motor to rotate the polarized filter; control the image sensors to capture a plurality of images of a document within the document holder, the plurality of images corresponding to a respective relative orientations of the polarized filter to the document; identify a feature of the document; and output, in response comparing respective visual characteristics of the feature of the document to corresponding expected visual characteristics of the first feature for the document, an indication of a verification of the document.

An image or a video may include a spherical capture of a scene. A punchout of the image or the video may be generated by placement of a viewing window at a center of a two-dimensional plane onto which the image or the video is mapped. The punchout of the image or the video may provide a panoramic view of the scene.

An image or a video may include a spherical capture of a scene. A punchout of the image or the video may be generated by placement of a viewing window at a center of a two-dimensional plane onto which the image or the video is mapped. The punchout of the image or the video may provide a panoramic view of the scene.

A system for detecting scan and non-scan events in a self-check out (SCO) process includes a a scanner for scanning objects and generating point of sale (POS) data, a video camera for generating a video of the scanning region, proximity sensors proximal to the video camera for defining an Area of Action (AoA), wherein the video camera starts capturing scanning region, when the objects enter the AoA, and the POS data includes non-zero values, an Artificial neural network (ANN) for receiving an image frame and generating one or more values, each indicating a probability of classification of the image frame into one or more classes respectively, and a processing unit for processing the POS data, and probabilities of one or more classes to detect a correlation between video data and POS data, and detect one of: scan and non-scan event in the image frame based on the correlation.