A document scanner includes an enclosure with a scanning area. A transparent platform in the scanning area allows a user to position a document for authentication. A top camera takes a picture of the top of the document and a bottom camera takes a picture of the bottom under multiple light conditions including UV, IR, and white light. Mirrors reduce the enclosure size and multiple computers within the enclosure share work to process image data and determine document type. Types are searched in order based historically detected types. Barcode data is decoded and image samples are filtered as one of the computers finds a match. Security features are checked for the detected type and fake variants of the detected type are checked. Card information and formatting is validated and face data captured from a face camera and as shown on the document are matched against a database of banned users.

A fingerprint sensing device and an operation method thereof are provided. The fingerprint sensing device includes a driver integrated chip and a fingerprint sensor. The driver integrated chip is coupled to a host processor. The fingerprint sensor is coupled to the driver integrated chip and the host processor. The fingerprint sensor obtains a fingerprint image during a period when the host processor is in the sleep mode. The driver integrated chip performs a fingerprint verification on the fingerprint image, and the driver integrated chip determines to wake up the host processor according to whether the fingerprint image passes the fingerprint verification.

System and methods are disclosed for capturing license plate (LP) information of a vehicle in relative motion to a camera device. In one example, the camera system detects the LP in multiple frames, then aligns and geometrically rectifies the image of the LP by scaling, warping, rotating, and/or performing other functions on the images. The camera system may optimize capturing of the LP information by executing a temporal noise filter on the aligned, geometrically rectified images to generate a composite image of the LP for optical character recognition. In some examples, the camera device may include an image sensor, such as a high dynamic range (HDR) sensor, modified to set long and short exposures of the HDR sensor to capture frames of a vehicle's LP, but without consolidating the images into a composite image. The camera system may set optimal exposure settings based on detected relative speed of the vehicle.

Methods for human characteristic and object characteristic identification at a point of sale (POS)) are disclosed herein. An example method includes capturing, a series of image frames of a product scanning region for each item passing through the product scanning region at the POS workstation. A first set of image frames of the series of image frames for each item may be captured using a first illumination setting configured for a first background brightness level, and a second set of image frames of the series of image frames for each item may be captured using a second illumination setting that is configured for a second background brightness level. The first set of image frames may be analyzed to identify an individual associated with the item, and the second set of image frames may be analyzed to identify the item.

Apparatus for determining information associated with reflection characteristics of a surface comprising a sensor (60) configured to generate sensor output dependent on an intensity of light incident on the sensor and having a field of view directed at an external surface (57) in use; an illumination source (58) configured to emit light onto the external surface in use; an optically transparent window (61) located such as to allow light to pass from the illumination source to the external surface and to allow light to pass to the sensor from the external surface in use; a light concentrator (66) fixed to or integral with the window, the light concentrator being configured to concentrate at least some light from the illumination source onto the external surface in use such that the concentrated light may be reflected from the external surface onto the sensor via the window; and a processor (40) configured to use the sensor output to determine information associated with reflection characteristics of the external surface.

Systems and methods disclosed herein increase a scan rates of parcels within a material handling facility. In some instances, the systems and methods described herein focus an imaging device on a label attached to a parcel to capture image data of the label that is in focus. This permits the image data to be analyzed for discerning shipping identifiers that are used for sortation and/or processing the parcels. For example, a height of the parcel may be determined and a field of view (FOV) associated with capturing the image data may be correspondingly adjusted. Furthermore, other setting(s) associated with imaging the parcels may be adjusted. For example, lighting conditions may be adjusted to reduce glare, contrast, and/or brightness captured within the image(s), and/or other setting(s) of the imaging device may be updated, such as gain and exposure.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an active lighting system. In one aspect, a method includes receiving a first image of the physical document having a first glare signature and a second image of the physical document having a second glare signature that is different from the first glare signature; determining a first glare map of the first image and a second glare map of the second image; comparing the first glare map to the second glare map; and generating the digital image based on the comparison of the first and second glare maps.

This disclosure relates to an exterior lighting system for a motor vehicle. An example system includes a plurality of lights configured to illuminate an area adjacent the motor vehicle, a plurality of sensors, and a controller configured to selectively activate and deactivate the lights based on signals from the sensors. The example system includes various aspects configured to preserve energy, including reducing the polling rate of sensors corresponding to deactivated lights, increasing light intensity in proportion to the speed of detected motion, and only illuminating those lights that correspond to locations of a recognized user.

System and methods are disclosed for capturing license plate (LP) information of a vehicle in relative motion to a camera device. In one example, the camera system detects the LP in multiple frames, then aligns and geometrically rectifies the image of the LP by scaling, warping, rotating, and/or performing other functions on the images. The camera system may optimize capturing of the LP information by executing a temporal noise filter on the aligned, geometrically rectified images to generate a composite image of the LP for optical character recognition. In some examples, the camera device may include an image sensor, such as a high dynamic range (HDR) sensor, modified to set long and short exposures of the HDR sensor to capture frames of a vehicle's LP, but without consolidating the images into a composite image. The camera system may set optimal exposure settings based on detected relative speed of the vehicle.

A device for recognizing wafer identification number with automatically turning on and off recognizing function comprises a base, a support frame, a light source, a plurality of image capturing units, an image recognition unit and a control unit. The base comprises a wafer boat placing portion and a first switch disposed on the wafer boat placing portion. The light source and the image capturing units are disposed on the support frame. The control unit is electrically connected to the first switch, the light source, the image capturing units and the image recognition unit. As such, the device for recognizing wafer identification number with automatically turning on and off recognizing function can automatically turn on and off the light source, the image capturing units, and the image recognition unit, therefore the operation is very easy and convenience.