A detection device (50) includes an input device (30) and a detector (15). The input device (30) in the detection device (50) receives input of image information output from a camera (11). The detector (15) performs a detection process to detect positions of eyes (5a) of a user (13). The detector (15) performs, as the detection process, a first process to detect first positions of the eyes (5a) based on the image information by template matching, and a second process to detect a position of a face (5) based on the image information by template matching and detect second positions of the eyes (5a) based on the detected position of the face (5).

A detection device (50) includes an input device (30) and a detector (15). The input device (30) in the detection device (50) receives input of image information output from a camera (11). The detector (15) performs a detection process to detect positions of eyes (5a) of a user (13). The detector (15) performs, as the detection process, a first process to detect first positions of the eyes (5a) based on the image information by template matching, and a second process to detect a position of a face (5) based on the image information by template matching and detect second positions of the eyes (5a) based on the detected position of the face (5).

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.

In some aspects, a device may detect that an object is contacting a display of the device. The device may illuminate, based at least in part on detecting that the object is contacting the display, a plurality of pixel regions of the display. The plurality of pixel regions may be illuminated sequentially. The device may obtain, using one or more photosensors, a set of data relating to light that is reflected from at least a portion of the object based at least in part on illuminating the plurality of pixel regions. The set of data may include respective data for each sequential illumination of the plurality of pixel regions. The device may generate an image of at least the portion of the object based at least in part on the set of data. Numerous other aspects are described.

Provided a fingerprint identification substrate and a manufacturing method therefor, a identification method, and a display apparatus. The fingerprint identification substrate includes a substrate and at least two kinds of identification pixels disposed on the substrate, a first identification pixel includes a first photodiode and a second identification pixel includes a second photodiode. The first photodiode includes a first electrode, a first photoelectric conversion layer and a second electrode, the second photodiode includes the first electrode, a second photoelectric conversion layer and the second electrode, and the first photoelectric conversion layer and the second photoelectric conversion layer have different spectral response characteristics to red light or infrared light.

Provided a fingerprint identification substrate and a manufacturing method therefor, a identification method, and a display apparatus. The fingerprint identification substrate includes a substrate and at least two kinds of identification pixels disposed on the substrate, a first identification pixel includes a first photodiode and a second identification pixel includes a second photodiode. The first photodiode includes a first electrode, a first photoelectric conversion layer and a second electrode, the second photodiode includes the first electrode, a second photoelectric conversion layer and the second electrode, and the first photoelectric conversion layer and the second photoelectric conversion layer have different spectral response characteristics to red light or infrared light.

A system and method interpret optical characterization examinations performed with a set of optical devices. Each device comprises one or more arrays of optical metasurface structures and have arrays tailored to have distinct properties making them differ from one another. First data and second data are accessed that capture a physical fingerprint of each device and an outcome of an optical characterization examination performed with each device, respectively. The outcomes of examinations performed are impacted by the respective, distinct properties of the arrays. Each device is identified based on the first data accessed, which makes it possible to obtain a readout key associated with the identified device. This readout key accounts for the respective one of the distinct properties. Finally, the second data are interpreted according to the readout key obtained to elucidate the outcome of the optical characterization examination. The invention is further directed to related computer program products.

In one aspect, a device may include at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to access a first frame of RGB video content corresponding to a first time, access a first frame of IR video content corresponding to the first time, and access data from a depth sensor corresponding to the first time. The instructions may also be executable to determine whether at least a portion of the first frame of the RGB video content correlates to at least a portion of the first frame of the IR video content and/or the data from the depth sensor. Responsive to a determination that it does, the instructions may be executable to authenticate the RGB video content and indicate the RGB video content as being authenticated via a graphical user interface.

Disclosed is a process for performance monitoring and feedback for facial recognition systems. A first image for image matching from a camera capture device at a first location is received for purposes of image matching. A highest match confidence score of the first image to a particular stored enrollment image is determined. One or more image or user characteristics associated with the first image or first user is identified. The identified image or user characteristics and highest match confidence score are added to a facial recognition monitoring and feedback model. Subsequently, a particular one of the stored image or user characteristics consistently associated with a below-threshold highest match confidence score is identified, and a notification is displayed or transmitted including an indication of an identified facial recognition low match pattern and identifying the particular one of the stored image characteristics or user characteristics.

A fingerprint sensor comprising a plurality of electrically conductive sensing structures arranged in a sensing plane for capacitively sensing a fingerprint of a finger placed on the finger receiving surface of the fingerprint sensor arrangement, the plurality of electrically conductive sensing structures including: a first set of electrically conductive sensing structures, each sensing structure in the first set of electrically conductive sensing structures covering an area in the sensing plane being within a first area range; and a second set of electrically conductive sensing structures, each sensing structure in the second set of electrically conductive sensing structures covering an area in the sensing plane being within a second area range only including areas greater than the areas within the first area range.