Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

A fingerprint identification apparatus and an electronic device are provided, which can improve the fingerprint imaging quality while achieving the lightness and thinness of the fingerprint identification apparatus. The fingerprint identification apparatus is applicable to be under a display screen, including a plurality of fingerprint identification units arranged in an array, where each fingerprint identification unit includes: a micro-lens; at least one light shielding layer, where each light shielding layer is provided with a light passing hole, a bottom light shielding layer is provided with N light passing hole, and a largest aperture D.sub.1 of each light passing hole and a largest aperture CA of the micro-lens satisfy 0.02D.sub.1/CA0.4, to form N light guiding passages in different directions; N pixel units, disposed under the at least one light shielding layer, and disposed in one-to-one correspondence with bottoms of N light guiding passages.

A fingerprint identification apparatus and an electronic device are provided, which can improve the fingerprint imaging quality while achieving the lightness and thinness of the fingerprint identification apparatus. The fingerprint identification apparatus is applicable to be under a display screen, including a plurality of fingerprint identification units arranged in an array, where each fingerprint identification unit includes: a micro-lens; at least one light shielding layer, where each light shielding layer is provided with a light passing hole, a bottom light shielding layer is provided with N light passing hole, and a largest aperture D.sub.1 of each light passing hole and a largest aperture CA of the micro-lens satisfy 0.02D.sub.1/CA0.4, to form N light guiding passages in different directions; N pixel units, disposed under the at least one light shielding layer, and disposed in one-to-one correspondence with bottoms of N light guiding passages.

A video monitoring system includes a camera head, which includes an infrared illumination source and an image sensor and is configured to transmit streaming video signals generated by the image sensor. A mount is configured to hold the camera head in a fixed location and orientation above a bed such that the image sensor captures images from a bird's eye view of a child in the bed. A processor is configured to receive and analyze the video signals so as to extract and provide information to a client device with regard to a behavior of the child.

A video monitoring system includes a camera head, which includes an infrared illumination source and an image sensor and is configured to transmit streaming video signals generated by the image sensor. A mount is configured to hold the camera head in a fixed location and orientation above a bed such that the image sensor captures images from a bird's eye view of a child in the bed. A processor is configured to receive and analyze the video signals so as to extract and provide information to a client device with regard to a behavior of the child.

A display device includes light emitting and receiving pixels, a reset line, a fingerprint scan line, a fingerprint sensing line, and first and second voltage lines in a display region. Each light receiving pixel includes a light receiving element including a first electrode and a second electrode connected to the second voltage line, a sensing transistor connecting the first electrode to the fingerprint sensing line according to a fingerprint scan signal applied to the fingerprint scan line and a reset transistor to connect the first voltage line to the first electrode according to a reset signal applied to the reset line. A first voltage applied to the first voltage line is greater than a second voltage applied to the second voltage line, and a third voltage applied to the fingerprint sensing line is greater than the second voltage and smaller than the first voltage.

An optical fingerprint imaging device, including a substrate, an imaging module, at least one light emitting element, a light shielding element, a case, and a pressing substrate, is provided. The light shielding element is disposed between the imaging module and the light emitting element. The optical fingerprint imaging device satisfies conditional expressions, h≤H≤h+(R/tan(θ/2)) and Ravg<S<5Ravg, where h is a height from a field angle origin of the imaging module to the substrate, H is a height of the light shielding element at a measurement position, R is a distance from a center of the imaging module to the measurement position, θ is an angle of a field angle of the imaging module, Ravg is an average value of distances from the center to measurement positions of the light shielding element, and S is a distance from the center to a center of the light emitting element.

An optical fingerprint imaging device, including a substrate, an imaging module, at least one light emitting element, a light shielding element, a case, and a pressing substrate, is provided. The light shielding element is disposed between the imaging module and the light emitting element. The optical fingerprint imaging device satisfies conditional expressions, h≤H≤h+(R/tan(θ/2)) and Ravg<S<5Ravg, where h is a height from a field angle origin of the imaging module to the substrate, H is a height of the light shielding element at a measurement position, R is a distance from a center of the imaging module to the measurement position, θ is an angle of a field angle of the imaging module, Ravg is an average value of distances from the center to measurement positions of the light shielding element, and S is a distance from the center to a center of the light emitting element.

An image capturing apparatus includes an image sensor section and a signal processor for processing an image input from the image sensor section via a signal line. A control arithmetic unit switches the signal processor to a recognition mode or a learning mode. The image sensor section includes an image capturing section for generating the image, and a sensor recognition section for performing recognition processing based on the image. The signal processor includes a recognition section for performing, in the recognition mode, recognition processing by inputting the image input from the image sensor section to a learning model, and a learning section for performing, in the learning mode, machine learning of the learning model based on a recognition result obtained by the sensor recognition section and the image input from the image sensor section.