The disclosure discloses a method and a system for generating image adversarial examples based on an acoustic wave. The method includes: acquiring an image containing a target object or a target scene; generating simulated image examples for the acquired image, wherein the simulated image examples have adversarial effects on a deep learning algorithm in a target machine vision system; optimizing the generated simulated image examples to obtain an optimal adversarial example and corresponding adversarial parameters; and injecting the adversarial parameters into an inertial sensor of the target machine vision system in a manner of an acoustic wave, such that the adversarial parameters are used as sensor readings that will cause an image stabilization module in the target machine vision system to operate to generate particular blurry patterns in a generated real-world image so as to generate an image adversarial example in a physical world.

A fingerprint recognition apparatus includes an optical film and an image sensor that are disposed at an interval of a first distance along a first direction. The optical film includes a first area and a second area, transmittances of the first area and the second area are different, the first area and the second area form a first pattern, and when receiving light reflected by a first object, the optical film converts the light into an optical image that has the first pattern and transmits the optical image to the image sensor. The image sensor is configured to receive the optical image and convert the optical image into an electrical signal. The electrical signal is used to construct an image of the first object.

Exemplary embodiments are directed to a system of enhancing biometric analysis matching. A processing device is configured to analyze the probe short-range and broadband iris texture information of a probe image for iris biometric authenticity, and based on the biometric authenticity of the probe short-range iris texture information and the probe broadband iris texture information, determine the biometric authenticity of the subject. Exemplary embodiments are also directed to a system of enhancing biometric analysis matching efficiency. The processing device generates an optimized order of enrollment iris biometric data includes a listing of the enrollment iris biometric data ordered by closest match to furthest match between the probe and enrollment broadband iris texture information. The processing device analyzes the iris biometric data for biometric authenticity starting with the closest match between the probe and enrollment broadband iris texture information.

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.

In some embodiments, apparatuses, systems, and methods are provided herein useful to assessing products. In some embodiments, an enclosure for use in assessing products comprises a housing including a door configured to allow placement of a product within the housing, a product holding surface located within the housing allowing pictures to be taken through the product holding surface and configured to support the product, a first image capture device configured to capture an image of the product from a first perspective, a second image capture device configured to capture an image of the product from a second perspective, and wherein the image of the product from the second perspective is captured through the product holding surface, and a lighting element, wherein the lighting element is located within the housing, and wherein the lighting element is configured to provide lighting within the housing.

An assistance device enabling communication with a wearable device includes: a memory; and a processor including hardware, the processor being configured to acquire line-of-sight information about a line of sight of a user wearing the wearable device, based on the line-of-sight information, generate blind region state information indicating a state of a blind region shielded by a shielding object in a visual field region of the user, and output the blind region state information to the wearable device.

A delivery system generates a pick sheet containing a plurality of SKUs based upon an order. A loaded pallet is imaged to identify the SKUs on the loaded pallet, which are compared to the order prior to the loaded pallet leaving the distribution center. The loaded pallet may be imaged while being wrapped with stretch wrap. At the point of delivery, the loaded pallet may be imaged again and analyzed to compare with the pick sheet.

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.