A method for training an eye tracking model is disclosed, as well as a corresponding system and storage medium. The eye tracking model is adapted to predict eye tracking data based on sensor data from a first eye tracking sensor. The method comprises receiving sensor data obtained by the first eye tracking sensor at a time instance and receiving reference eye tracking data for the time instance generated by an eye tracking system comprising a second eye tracking sensor. The reference eye tracking data is generated by the eye tracking system based on sensor data obtained by the second eye tracking sensor at the time instance. The method comprises training the eye tracking model based on the sensor data obtained by the first eye tracking sensor at the time instance and the generated reference eye tracking data.

A fingerprint identification apparatus and an electronic device are provided. The fingerprint identification apparatus is used to be disposed under a display screen of an electronic device, including: a sensor chip, where the sensor chip includes a light detecting array and a chip seal ring, and the chip seal ring is disposed around the light detecting array; a light shielding layer, formed on the light detecting array, where the light shielding layer is provided with a plurality of light passing apertures, and the light shielding layer covers an whole region of the light detecting array and at least covers partial region of the chip seal ring; and the fingerprint light signal, returned after reflection or scattering via a finger above the display screen, is transmitted to the light detecting array through the plurality of light passing apertures on the light shielding layer for fingerprint identification.

Provided herein are a calibration method for a fingerprint sensor and a display device using the calibration method, where, in the calibration method for a fingerprint sensor, the fingerprint sensor includes a substrate, a light-blocking layer located on a first surface of the substrate and having openings formed in a light-blocking mask, a light-emitting element layer located on the light-blocking layer and having a plurality of light-emitting elements, and a sensor layer located on a second surface of the substrate and having a plurality of photosensors; and the calibration method includes generating calibration data through white calibration and dark calibration, and applying offsets to the plurality of photosensors using the calibration data.

Provided herein are a calibration method for a fingerprint sensor and a display device using the calibration method, where, in the calibration method for a fingerprint sensor, the fingerprint sensor includes a substrate, a light-blocking layer located on a first surface of the substrate and having openings formed in a light-blocking mask, a light-emitting element layer located on the light-blocking layer and having a plurality of light-emitting elements, and a sensor layer located on a second surface of the substrate and having a plurality of photosensors; and the calibration method includes generating calibration data through white calibration and dark calibration, and applying offsets to the plurality of photosensors using the calibration data.

A display panel and a control method thereof are provided. The method includes steps of: providing a display panel; receiving light through a TFT photosensitive sensor and converting the light into an electrical signal, wherein the light includes at least one of ambient light and reflected light; converting the electrical signal into at least one of fingerprint information, proximity sensing information, and ambient light monitoring information through a driving chip; and providing an action signal to a display module according to at least one of the fingerprint information, the proximity sensing information, and the ambient light monitoring information to control action of the display module. The application uses a same sensor to implement optical fingerprint, ambient light monitoring, and proximity sensing functions.

A display panel and a control method thereof are provided. The method includes steps of: providing a display panel; receiving light through a TFT photosensitive sensor and converting the light into an electrical signal, wherein the light includes at least one of ambient light and reflected light; converting the electrical signal into at least one of fingerprint information, proximity sensing information, and ambient light monitoring information through a driving chip; and providing an action signal to a display module according to at least one of the fingerprint information, the proximity sensing information, and the ambient light monitoring information to control action of the display module. The application uses a same sensor to implement optical fingerprint, ambient light monitoring, and proximity sensing functions.

A device for monitoring occupants of seats in a passenger compartment of a vehicle includes a plurality of structured light sources. Each of the plurality of structured light sources is attached to one of a plurality of sections and has an optical element that forms a structured light pattern. The plurality of structured light sources are oriented such that the plurality of structured light patterns, in combination, are directed such that they would cover the occupants of the seats of the vehicle. The plurality of structured light patterns, in combination, are directed such that they would cover all occupants of the seats. A camera is attached to a central niche and is configured to capture image patterns that result from distortion of the plurality of structured light patterns by the occupants of the seats.

A device for monitoring occupants of seats in a passenger compartment of a vehicle includes a plurality of structured light sources. Each of the plurality of structured light sources is attached to one of a plurality of sections and has an optical element that forms a structured light pattern. The plurality of structured light sources are oriented such that the plurality of structured light patterns, in combination, are directed such that they would cover the occupants of the seats of the vehicle. The plurality of structured light patterns, in combination, are directed such that they would cover all occupants of the seats. A camera is attached to a central niche and is configured to capture image patterns that result from distortion of the plurality of structured light patterns by the occupants of the seats.

A texture recognition apparatus and a manufacturing method thereof are provided. The texture recognition apparatus includes a base substrate, a light source array and an image sensor array. The light source array is on a side of the base substrate and includes a plurality of light sources; the image sensor array is on a side of the base substrate and includes a plurality of image sensors, the plurality of image sensors are configured to receive light emitted from the plurality of light sources and reflected to the plurality of image sensors by a texture for texture collection; at least part of an photosensitive element of at least one image sensor of the plurality of image sensors is inclined relative to a surface of the base substrate.