Currency processing systems, coin processing machines, coin imaging sensor assemblies and methods of making and methods of using the same are presented herein. A currency processing system is disclosed which includes a housing with a coin input area for receiving coins and coin receptacles for stowing processed coins. A disk-type coin processing unit, which is coupled to the coin input area and coin receptacles, includes a rotatable disk for imparting motion to coins, and a sorting head for separating and discharging coins to the coin receptacles. A sensor assembly is mounted to, adjacent or within the sorting head adjacent the rotatable disk. The sensor assembly includes a linear array of sensors, wherein the linear array of sensors is configured to sense coins processed by the coin processing unit, and to output a signal indicative of coin image information for processing the coins.

A security check system using face ID sensing for secure access to an electronic platform includes a camera. The camera includes an imaging lens configured to form a modulated image of an object positioned in front of the camera. The modulated image of the object includes deviations from an ideal image. The security check system further includes a computer memory configured to store face ID data of an authorized person. The face ID data is generated from one or more modulated images of a live face of the authorized person acquired by the camera during a registration process. The security check system further includes a processing module configured to analyze the modulated image of the object to extract facial signatures, compare the facial signatures to the face ID data, and determine whether the object is the live face of the authorized person based on the comparison.

An anti-counterfeiting method and a system for under-screen fingerprint identification are provided. A fingerprint sensing apparatus includes a display device and a fingerprint sensor, and the method includes the following steps. A fingerprint sensing image is captured for an object on the display device through the fingerprint sensor. The fingerprint sensing image is calibrated by using a color calibration parameter to generate a calibrated image. Whether the object is a real finger is determined by using an anti-counterfeiting algorithm and the calibrated image.

An optical device includes an optical sensor, one or more diffusive optical elements disposed on a surface of a display screen and configured to diffuse and to distribute a first portion of light associated with a subject across an array of sensor elements of the optical sensor, and one or more processors. The display screen includes one or more transmissive components that allow the first portion of light to pass through the display screen via the surface of the display screen, and one or more blocking components that prevent a second portion of light associated with the subject from passing through the display screen. The one or more processors are configured to obtain, from the optical sensor, sensor data associated with the first portion of light, process the sensor data to determine an image of the subject, and perform one or more actions based on the image of the subject.

System that allows devices of an autonomous store, such as sensors in product display areas, to receive power and communicate data over conductive rails of store fixtures. By using fixtures to transmit data and power, the need for cabling to these devices, or for batteries to power the devices, is eliminated or greatly reduced, thereby dramatically simplifying installation and maintenance. Illustrative fixtures over which devices can communicate include slatwalls, pegboards, and rectangular support bars. Power and data may be multiplexed onto the same pair of conductive rails. Embodiments may use device hubs to coordinate communication with devices and to act as gateways between devices and centralized store servers. Devices may communicate their identities and locations to store servers to facilitate installation; for example, they may display their identities on electronic labels that are imaged by store cameras, so that the store server can learn the location of each device automatically.

A vehicle includes a camera unit disposed in the vehicle to have a plurality of channels and configured to obtain an image around the vehicle, the camera unit including one or more cameras, a sensing device including an ultrasonic sensor, the sensing device configured to obtain distance information between an object and the vehicle, and a controller configured to match a part of the image around the vehicle with at least one mask, form map information based on the at least one mask and the distance information, determine at least one control point based on the map information, and obtain the image around the vehicle based on a priority of the camera unit corresponding to a surrounding type of the vehicle determined based on the control point.

A fingerprint identification module and a driving method therefor, and a display apparatus. The fingerprint identification module includes a base substrate and a plurality of fingerprint identification regions located on the base substrate, each fingerprint identification region includes a plurality of receiving electrodes, a piezoelectric material layer and a plurality of driving electrodes; and the plurality of receiving electrodes, the piezoelectric material layer and the plurality of driving electrodes form a plurality of ultrasonic sensors. Each fingerprint identification region is correspondingly provided with at least one driving chip, the plurality of driving electrodes in each fingerprint identification region is connected to an output terminal of the at least one driving chip; and the at least one driving chip is configured to apply a driving voltage to the plurality of driving electrodes to driving the plurality of ultrasonic sensors in the corresponding fingerprint identification region to perform fingerprint identification.

A touch display device includes a display unit including pixels disposed in an active area, an encapsulation unit disposed on the display unit, and a touch-fingerprint fusion sensor unit having a touch sensor function and a fingerprint sensor function in the active area on the encapsulation unit. The touch-fingerprint fusion sensor unit includes first fingerprint sensor electrodes disposed in a fingerprint sensor area on the encapsulation unit, a first touch insulating layer disposed on the first fingerprint sensor electrodes, second fingerprint sensor electrodes disposed in the fingerprint sensor area on the first touch insulating layer, a second touch insulating layer disposed on the second fingerprint sensor electrodes, and a plurality of first and second touch electrodes disposed on the second touch insulating layer. The first fingerprint sensor electrodes, the second fingerprint sensor electrodes, and the first and second touch electrodes overlap the non-emissive area.

An information processing method is executed by a computer, and includes: obtaining a first image generated by a multi-pinhole camera; extracting at least one point spread function (PSF) in each of a plurality of regions in the first image; obtaining a second image different from the first image, and reference data used in machine learning for the second image; generating a third image, by convolving each of a plurality of regions in the second image with at least one PSF extracted in a corresponding region of the plurality of regions in the first image; and outputting a pair of the reference data and the third image.

An object identification method determines whether a first monitoring image and a second monitoring image captured by a monitoring camera apparatus have the same object. The object identification method includes acquiring the first monitoring image at a first point of time to analyze a first object inside a first angle of view of the first monitoring image, acquiring the second monitoring image at a second point of the time different from the first point of time to analyze a second object inside the first angle of view of the second monitoring image, estimating a first similarity between the first object inside the first angle of view of the first monitoring image and the second object inside the first angle of view of the second monitoring image; and determining whether the first object and the second object are the same according to comparison result of the first similarity with a threshold.