In one embodiment, a method includes a computer system accessing a curvilinear image captured using a camera lens, generating multiple rectilinear images from the curvilinear image based at least in part on one or more calibration parameters associated with the camera lens, identifying semantic information in one or more of the rectilinear images by processing each of the multiple rectilinear images using a machine-learning model configured to identify semantic information in rectilinear images, and identifying semantic information in the curvilinear image based on the identified semantic information in the one or more rectilinear images.

A wearable apparatus is provided. The wearable apparatus may include: a wearable image sensor configured to capture a plurality of images from an environment of a user; and at least one processor programmed to: receive, from the wearable image sensor, a facial image of an individual with whom a user interacted in a first interaction during a time window; receive sound data captured in a vicinity of the image sensor during a part of the time window; process the sound data to identify a key word; store an association between the key word and the facial image; receive another facial image of the individual during a second interaction; determine that the individual is the individual in the second interaction; access the memory to locate the key word from the first interaction; and cause a display of the key word on a display visible to the user.

Provided are an under-screen biometric identification apparatus and an electronic device. The under-screen biometric identification apparatus includes: a lens disposed under a display screen for receiving an optical signal formed by reflection of a human finger on the display screen, where the optical signal is used to detect biometric information of the finger; a lens barrel, where the lens is fixed in the lens barrel; and a support, where the support is connected to the lens barrel by means of threaded connection for supporting the lens barrel. An under-screen biometric identification apparatus and an electronic device provided in embodiments of the present application can improve the efficiency of under-screen biometric identification.

Provided are an under-screen biometric identification apparatus and an electronic device. The under-screen biometric identification apparatus includes: a lens disposed under a display screen for receiving an optical signal formed by reflection of a human finger on the display screen, where the optical signal is used to detect biometric information of the finger; a lens barrel, where the lens is fixed in the lens barrel; and a support, where the support is connected to the lens barrel by means of threaded connection for supporting the lens barrel. An under-screen biometric identification apparatus and an electronic device provided in embodiments of the present application can improve the efficiency of under-screen biometric identification.

An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.

An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.

A system for digitizing gauges, lights and other human-readable machine gauges and functions and status without interfering with the operation of the machine or requiring reworking or interfering with the existing machine wiring, signaling, electrical or mechanical elements or operating modes, or adding new digitizing equipment to the machine.

A system for digitizing gauges, lights and other human-readable machine gauges and functions and status without interfering with the operation of the machine or requiring reworking or interfering with the existing machine wiring, signaling, electrical or mechanical elements or operating modes, or adding new digitizing equipment to the machine.

A photographing method and device, a storage medium and an electronic apparatus are disclosed. The method includes the following. A current photographing scene is determined based on a current preview image. Based on the current photographing scene, pre-stored historical adjustment information of a photographing parameter matching the current photographing scene is acquired. Current adjustment information is determined based on the historical adjustment information. Adjustment is performed on the current preview image on the basis of the current adjustment information, and an adjusted current preview image is output.

To improve convenience of a passenger using a paid seat. An image transmission unit transmits a plurality of images generated by a first camera to a passenger information processing device. The passenger information processing device performs person specifying processing using the image. A processing result acquisition unit acquires a processing result by the passenger information processing device. This processing result is obtained by associating person specifying information that specifies a person included in the image with attribute information of the passenger. A getting-on station management unit generates getting-on station information using the person specifying information and the attribute information associated with the person specifying information. A getting-off station management unit generates getting-off station information using the person specifying information and the attribute information associated with the person specifying information. The getting-on station information and the getting-off station information are stored in a first storage unit in association with the person specifying information of the passenger.