The present invention provides a method of validating a media item, the method comprising receiving image data corresponding to a plurality of digital images of a media item to be validated, wherein each image is associated with a respective one of a plurality of different channels of an illumination source for illuminating the media item, selecting image data corresponding to two of the plurality of images, dividing a common parameter of the selected image data associated with corresponding locations of the two selected images to create ratio image data representing a ratio image for two different channels of the illumination source, extracting feature information associated with the ratio image, and classifying the extracted feature information with at least one classifier of a validation template to determine whether or not the media item is valid. A computer program and a Self-Service Terminal for validating a media item, such as a banknote, are also provided.

A method for pushing information based on a user emotion including recordings of behavior habits of the user based on a number of predefined emotions within a predefined time period can be implemented in the disclosed electronic device. Based on each predefined emotion, a proportion of each behavior habit of the user is determined at the predetermined time intervals. The device determines information to be pushed according to a current user emotion and the proportions of the behavior habits of the user corresponding to the current user emotion, and the electronic device is controlled to push the determined information.

A dispatch system includes an unmanned aerial vehicle (UAV) interface for interfacing with one or more UAVs for wildfire detection. The UAV interface transmits an instruction for a UAV to navigate to a location of a potential wildfire, and receives data captured by at least one sensor of the UAV. The dispatch system further includes a fire detection engine to process the received data to identify the presence of a wildfire, and a web server to provide a user interface that includes an alert regarding the wildfire. The alert may include the location of the wildfire.

A dispatch system includes an unmanned aerial vehicle (UAV) interface for interfacing with one or more UAVs for wildfire detection. The UAV interface transmits an instruction for a UAV to navigate to a location of a potential wildfire, and receives data captured by at least one sensor of the UAV. The dispatch system further includes a fire detection engine to process the received data to identify the presence of a wildfire, and a web server to provide a user interface that includes an alert regarding the wildfire. The alert may include the location of the wildfire.

A substance detection device includes an illuminator that illuminates a monitoring range with light at a first wavelength and light at a second wavelength at different timings, an image capturer that obtains a first actual image by capturing an image of the monitoring range which is illuminated by the light at the first wavelength and obtains a second actual image by capturing an image of the monitoring range which is illuminated by the light at the second wavelength, and an image processor that acquires a difference in lightness of corresponding pixels between the first actual image and the second actual image that are obtained by the image capturer, compares the acquired difference in lightness of the corresponding pixels with a reference value, and detects a specific substance that is present in the monitoring range based on a result of the comparison.

Systems and methods for utilizing living entities as markers for virtual content in an augmented reality environment are discussed herein. The virtual content may comprise objects, surfaces, textures, effects, and/or other content visibly manifested in views of the augmented reality environment. In some implementations, the virtual content may comprise an avatar and/or other full- or partial-body virtual content object depicted based on the living entity. A living entity and multiple linkage points for the living entity may be detected within the field of view of a user. Based on the arrangement of the linkage points, virtual content may be rendered and appear superimposed over or in conjunction with a view of the living entity in the augmented reality environment. In some implementations, the rendering of virtual content in the augmented reality environment may be triggered by the arrangement of the multiple linkage points for a given living entity.

An optical sensor for imaging a biometric object includes: a cover layer transparent to light reflected off the biometric object; an optical layer, disposed below the cover layer, having a plurality of diffractive optical elements; and a sensing layer, having a plurality of sensing elements disposed below the optical layer, each of the sensing elements being configured to detect light from the biometric object. The plurality of diffractive optical elements of the optical layer are configured to direct light from the biometric object to the plurality of sensing elements.

According to an aspect, a touch detection apparatus includes: a plurality of drive electrodes, wherein at least one of the drive electrodes includes a plurality of subdivided electrodes; a plurality of first touch detection electrodes; a second touch detection electrode; a first shift register circuit in which a plurality of first shift signal output circuits are sequentially coupled to one another; a second shift register circuit in which a plurality of second shift signal output circuits are sequentially coupled to one another; and a selection circuit that supplies a signal of the first shift register circuit to the drive electrode in a first mode, and supplies a signal of the second shift register circuit to the subdivided electrode in a second mode.

The present application discloses an image processing method, an apparatus, a device and a storage medium, and relate to computer vision, augmented reality and deep learning technology in the field of computer technology. A specific implementation includes: determining, by a detection model, a 3D thermal distribution map and a 3D position offset of body key points of a target character in an image to be detected, determining predicted 3D coordinates of the body key points based on the 3D thermal distribution map of the body key points, correcting the predicted 3D coordinates according to the 3D position offset of the body key points, so that accurate 3D coordinates of the body key points can be obtained, and performing corresponding processing according to the gesture or motion of the target character.

An image processing apparatus includes a lighting unit configured to emit light to an object, a first image capturing unit configured to output a first image signal acquired by photographing the object when light is emitted by the lighting unit, a second image capturing unit configured to output a second image signal acquired by photographing the object when no light is emitted by the lighting unit, and a controller configured to acquire an object image by using a difference image between a first image generated based on the first image signal and a second image generated based on the second image signal.