Systems and methods for communicating in a network using parcel theft share signals in accordance with various embodiments of the present disclosure are provided. In one embodiment, an audio/video (A/V) recording and communication device comprises: a camera configured to capture first image data of a drop-off zone; a communication module; and a processing module comprising: a processor; and a parcel theft deterrence application that configures the processor to: monitor a parcel in the drop-off zone, wherein the parcel is associated with parcel tracking data; determine that the parcel has been removed from the drop-off zone; generate a parcel theft share signal using the first image data and the parcel tracking data, wherein the parcel theft share signal includes a command to share the first image data with a network of users; and transmit the parcel theft share signal to the backend server using the communication module.

An example computer-vision system to convert images includes an image converter (112) to convert a near infrared light first image (202) to form a visible light image (206), and to update a coefficient of the image converter (112) based on a difference (214), an object recognizer (102) to recognize an object (208) in the first visible light image (206), and an object recognition analyzer (210) to determine the difference (214) between the object (208) recognized in the first visible light image (206) and an object (212) associated with the near infrared light image (202).

An example computer-vision system to convert images includes an image converter (112) to convert a near infrared light first image (202) to form a visible light image (206), and to update a coefficient of the image converter (112) based on a difference (214), an object recognizer (102) to recognize an object (208) in the first visible light image (206), and an object recognition analyzer (210) to determine the difference (214) between the object (208) recognized in the first visible light image (206) and an object (212) associated with the near infrared light image (202).

An electronic device includes a base layer, a circuit layer on the base layer, a display element layer on the circuit layer, the display element layer including a pixel defining film having an opening part, and a light emitting element and a light receiving element divided by the pixel defining film, an input detection layer on the display element layer and overlapping the light emitting element, and a liquid crystal member on the display element layer and overlapping the light receiving element.

A shooting score identifying method and device, and an electronic device are provided. The method includes the steps of capturing a picture of a shooting operation on target paper to acquire a shooting image formed on the target paper; forming a thermal imaging image of the target paper after the shooting image is acquired; performing target identification on the shooting image to obtain a target image related to a shooting point, and performing direction correction on the shooting point present in the target image to obtain a correction image; and performing interference removal processing on the correction image through the thermal imaging image to obtain an identification image, thereby identifying a shooting score based on the identification image.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a biometric authentication system. In one aspect, a method includes receiving, at one or more processing devices, data corresponding to a first set of pixels of an image sensor. The first set of pixels are exposed under illumination by a first source. Data corresponding to a second set of pixels of the image sensor is received, at the one or more processing devices. The second set of pixels are exposed under illumination by a second source that is spatially separated from the first source. A three-dimensional image is generated using the data corresponding to the first set of pixels as a first image of a pair of photometric stereo images, and the data corresponding to the second set of pixels as a second image of the pair of photometric stereo images.

Embodiments of the present application disclose a fingerprint identification apparatus and an electronic device. The fingerprint identification apparatus is used to be disposed under a display screen and includes a first filter layer and a fingerprint sensor, and the first filter layer is disposed above the fingerprint sensor, the first filter layer includes a plurality of first filter units, and the plurality of first filter units are disposed in a region of the first filter layer corresponding to an edge region of the fingerprint sensor; sensing units of the edge region of the fingerprint sensor are configured to receive a light signal returned by a finger above the display screen and filtered by the plurality of first filter units; and sensing units of a middle region of the fingerprint sensor are configured to receive a light signal returned by the finger, to generate a fingerprint image of the finger.

A spectrometry method used by a spectrometry apparatus including a spectrometry section including a spectrometer and an imaging device that captures a spectroscopic image, a spectroscopic controller that controls the action of the spectrometer, and an image generator that generates the spectroscopic image, the method including generating the spectroscopic image, dividing the range of the spectroscopic image into a plurality of regions including at least a first region, determining a reference value of a color value, generating a first region spectrum based on the spectroscopic image of the first region, calculating first region tristimulus values based on the first region spectrum, calculating a first region color value based on the first region tristimulus values, and calculating a first region color difference that is the color difference between the first region color value and the reference value by using a color difference formula.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for red eye detection are provided. In one aspect, a system includes an image acquisition device, first and second illuminators, and at least one processor. The first illuminator is arranged closer to the image acquisition device than the second illuminator. The image acquisition device is configured to capture a first facial image of a face of a subject with the first illuminator being on and the second illuminator being off and a second facial image of the face of the subject with the second illuminator being on and the first illuminator being off. The processor can process the first facial image based on the second facial image to determine whether at least one eye of the subject is live by determining that the first facial image includes a red eye reflection from the at least one eye.

A framework for safely operating autonomous machinery, such as vehicles and other heavy equipment, in an in-field or off-road environment, includes detecting, identifying, classifying and tracking objects and/or terrain characteristics from on-board sensors that capture images in front and around the autonomous machinery as it performs agricultural or other activities. The framework generates commands for navigational control of the autonomous machinery in response to perceived objects and terrain impacting safe operation. The framework processes image data and range data in multiple fields of view around the autonomous equipment to discern objects and terrain, and applies artificial intelligence techniques in one or more neural networks to accurately interpret this data for enabling such safe operation.