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.

A system, a wearable device and method for monitoring picking activities. The method comprises: obtaining a visual input from a sensor located on a wearable device, wherein the wearable device is worn on a hand of a picker, wherein the sensor is configured to capture at least an interior portion of a hand of the picker, wherein the picker is tasked with picking items to fulfill a shopping order of a customer, wherein the shopping order comprises a list of items; determining, based on the visual input, that the picker picked up an item and placed the item in a tote associated with the shopping order of the customer, wherein said determining that the picker picked up the item and placed the item comprises identifying the item; and in response to said determining: performing a fulfillment-related action.

A card reader, includes card reader housing, a camera mounted on the card reader housing and a document input tray supported by the card reader housing. A light source is oriented to provide indirect light to the document when the document is within the document input tray. A direct light barrier shields the document from receiving direct light from the light source. A controller instructs the camera to capture an image of the document.

Image capture devices for monitoring parking at various geographic locations and systems for monitoring parking are described herein.

Disclosed is a process for performance monitoring and feedback for facial recognition systems. A first image for image matching from a camera capture device at a first location is received for purposes of image matching. A highest match confidence score of the first image to a particular stored enrollment image is determined. One or more image or user characteristics associated with the first image or first user is identified. The identified image or user characteristics and highest match confidence score are added to a facial recognition monitoring and feedback model. Subsequently, a particular one of the stored image or user characteristics consistently associated with a below-threshold highest match confidence score is identified, and a notification is displayed or transmitted including an indication of an identified facial recognition low match pattern and identifying the particular one of the stored image characteristics or user characteristics.

The present invention provides a method of a control circuit for controlling a fingerprint sensing operation of a display panel. The fingerprint sensing operation includes a reset operation, an exposure operation and a sample operation. The method includes steps of: performing the reset operation, the exposure operation and the sample operation of a fingerprint sensing cycle during a display frame interval in which a polarity of display data voltage on the display panel remains unchanged; and adjusting an exposure time of the exposure operation to be within the display frame interval.

A driving device and an operation method thereof are provided. The driving device includes a first driving circuit and a second driving circuit. The first driving circuit performs a display driving operation to a display panel. The second driving circuit performs a fingerprint sensing operation (including a sensor reset operation and an image capture operation) to the display panel according to a timing control signal of the first driving circuit. The fingerprint sensing operation is operated with a same frame polarity configuration rule. The operation of “the same frame polarity configuration rule” comprises fixing a relation between a first polarity configuration (which is the frame polarity configuration of the display panel when performing the sensor reset operation on a same fingerprint frame) and a second polarity configuration (which is the frame polarity configuration of the display panel when performing the image capture operation on the same fingerprint frame) whenever the fingerprint sensing operation is performed.

A computer-implemented method for computing a prediction on images of a scene includes: receiving one or more polarization raw frames of a scene, the polarization raw frames being captured with a polarizing filter at a different linear polarization angle; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and computing a prediction regarding one or more optically challenging objects in the scene based on the one or more first tensors in the one or more polarization representation spaces.

A computer-implemented method for computing a prediction on images of a scene includes: receiving one or more polarization raw frames of a scene, the polarization raw frames being captured with a polarizing filter at a different linear polarization angle; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and computing a prediction regarding one or more optically challenging objects in the scene based on the one or more first tensors in the one or more polarization representation spaces.

An image processing apparatus includes a separation unit configured to separate luminance information of each pixel in a processing area of an input image into an intrusion component and an object component, a determination unit configured to determine whether each of intrusion components is a first component or a second component, a processing unit configured to generate first information based on the first component, and an image generating unit configured to generate an output image based on the first information, the second component, and the object component.