A photoelectric fingerprint identification apparatus, a terminal, and a fingerprint identification method are provided. The apparatus includes: a light-emitting unit, where the light-emitting unit generates at least a first light signal and a second light signal; a photoelectric fingerprint sensor, where the photosensitive fingerprint sensor includes a first sensing region and a second sensing region that do not overlap each other, and the first sensing region is covered with an infrared filter; an image detection unit, configured to detect reflected light energy of the first sensing region to obtain fingerprint information; and a living body detection unit, configured to detect reflected light energy of the second sensing region to obtain living body detection information.

An optical fingerprint assembly includes: a fingerprint sensor configured to collect a light signal for fingerprint identification; a color temperature sensing unit configured to collect a light signal for color temperature detection; a fingerprint signal processing circuit connected to the fingerprint sensor and configured to process the light signal collected by the fingerprint sensor to generate a fingerprint signal; a color temperature signal processing unit connected to the color temperature sensing unit and configured to process the light signal collected by the color temperature sensing unit to generate a color temperature signal; and a control unit connected to the fingerprint signal processing circuit and the color temperature signal processing unit, the control unit being configured to generate fingerprint information according to the fingerprint signal and to generate color temperature information of ambient light according to the color temperature signal.

A fingerprint detection apparatus and a terminal device having a fingerprint identification function are disclosed. The terminal device includes: a glass cover, configured to provide a touch interface; a liquid crystal panel, located below the glass cover; a backlight module, located below the liquid crystal panel; and a light-emitting component, located below the glass cover, wherein the light-emitting component and the liquid crystal panel are staggered from each other, and the light-emitting component is configured to emit a light to illuminate the finger to generate a returned light, wherein the returned light is used for the terminal device to perform the fingerprint identification on the finger.

A method of detecting smoke or a fire involves the installation of properly produced cameras in the field. The cameras send recorded photos to a server. A computer downloads the photos from the server and uses attempts to automatically detect smoke with artificial intelligence software. Photos with a detected fire are sent to users which interface with a non-transitory computer readable medium, such as a desktop computer or a mobile phone, capable of executing a software application for verification. Verified smoke or fire threats signal alarms to the designated fire department in an effort to prevent fires from spreading and thus causing unnecessary damage to communities, lives, and ecosystems.

A method for regulating a position of an object includes detecting a plurality of first alignment structures of the object under rotation of the object, wherein a plurality of second alignment structures of the object sequentially face a photosensitive element during the rotation of the object, and when the plurality of first alignment structures have reached a first predetermined state, stopping the rotation of the object and performing an image capturing procedure of the object. The image capturing procedure includes: capturing a test image of the object, wherein the test image includes an image block presenting the second alignment structure currently facing the photosensitive element; detecting the position of the image block in the test image; when the image block is located in the middle of the test image, capturing a detection image of the object.

A method and a system for thermal infrared facial recognition are provided. The method includes: determining a thermal infrared facial image to be recognized; inputting the thermal infrared facial image to be recognized into a trained three-sense component extractor to position eyes, a nose, and a mouth of a face in the image, and to perform regional positioning of a left eye, a right eye, the nose, and the mouth, so as to constitute a corresponding key region group; performing affine transformation on the thermal infrared facial image to be recognized using a difference between a key region group of a standard face and the key region group of the face to be recognized; inputting a thermal infrared image after face alignment calibration into a trained facial feature extraction to extract corresponding facial features; and inputting the extracted facial features into a trained classifier to recognize information of an owner.

Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, are provided. In one aspect, a first image of an eye region of a subject is received, the first image captured under illumination by electromagnetic radiation having a wavelength in the 850 nm-1100 nm range. Based on the first image, a metric indicative of differential absorption of the electromagnetic radiation by an iris of the subject and a sclera of the subject is determined. It is identified, based on the metric, that the subject is a spoof representation of a human. Responsive to identifying that the subject is a spoof representation of a human, access to a secure system is prevented.

Disclosed are systems, devices and methods for quantifying unique features of an object such as an artistic work to identify and authenticate the object and specific characteristics thereof using multi-spectral diagnostic characterization techniques and analytical algorithms. In some aspects, a method for creating an identification for an object includes acquiring image data of an object in two or more electromagnetic spectrums along a coordinated array of sample regions of the object; analyzing the acquired image data to produce a quantitative data set including specific characteristics of the object associated with the two or more electromagnetic spectrums for each sample region; generating a digital identification associated with a unique data fingerprint, based on the specific characteristics, in which the digital identification solely corresponds to the object; and storing the generated digital identification.

Systems and methods for predicting items within content and using improved, fine-grained image classification techniques to produce images used to identify consumer products in the real-world by allowing for the recognition of a product using an image captured under a variety of conditions and environments, such as angles, lighting, camera settings, and the like.

A capturing device has a lens block that includes a lens for focusing light from a subject during a daytime, the subject includes a vehicle. The capturing device further includes an image sensor that captures an image based on light from the subject focused by the lens, and a processor that generates a face image of an occupant riding in the vehicle based on a first number of captured imaged of the subject which are captured by the image sensor at different times. The processor generates the face image of the occupant further based on a second number of captured images in which a luminance value of a region of interest is equal to or smaller than a threshold value among the first number of captured images of the subject.