The invention comprises using a photodetector that it sensitive in the MWIR band, performing image differencing on two successive images at a time, and defining thresholds for said differences in order to extract only those exceeding the threshold used.

A fingerprint identification apparatus and an electronic device are provided, which can improve the fingerprint imaging quality while achieving the lightness and thinness of the fingerprint identification apparatus. The fingerprint identification apparatus is applicable to be under a display screen, including a plurality of fingerprint identification units arranged in an array, where each fingerprint identification unit includes: a micro-lens; at least one light shielding layer, where each light shielding layer is provided with a light passing hole, a bottom light shielding layer is provided with N light passing hole, and a largest aperture D.sub.1 of each light passing hole and a largest aperture CA of the micro-lens satisfy 0.02D.sub.1/CA0.4, to form N light guiding passages in different directions; N pixel units, disposed under the at least one light shielding layer, and disposed in one-to-one correspondence with bottoms of N light guiding passages.

An insect capturing device having an imaging function for harmful insect information management, according to the present invention, comprises: a collection unit having a collection net so as to collect harmful insects, and having a passage tube, provided on one side of the collection net, through which the collected harmful insects pass; a support unit provided on the other side of the collection unit so as to support the collection unit; a capturing analyzer having an outer filter connected to the collection unit through the passage tube so as to separate moisture from air introduced with the harmful insects, an inner filter connected to the outer filter and maintaining constant temperature and humidity conditions, a capturing tube unit connected to the inner filter and having a count sensor for sensing the harmful insects having passed there through and counting the number of harmful insects, and a gathering unit connected to the capturing tube unit and having a gathering net for enabling the harmful insects suctioned in and moved through the capturing tube unit to be finally filtered; an imaging unit provided at a position aimed at the gathering unit in the capturing tube unit, and photographing harmful insects being moved to the upper part of the gathering net; and a capture unit provided between the imaging unit and the gathering net such that the imaging unit obtains images of the harmful insects suctioned in and moved through the capturing tube unit, and enabling the harmful insects to be temporarily filtered before being filtered in the gathering net. Therefore, it is possible to provide an insect capturing device having an imaging function for harmful insect information management, the device simply classifying and analyzing harmful insects according to the occurrence frequency and types of the harmful insects by easily obtaining, in real time, without an expensive high speed camera, images of harmful insects collected in the insect capturing device for collecting harmful insects such as flies or mosquitoes.

A method, system, and apparatus for video frame alignment comprises collecting video data comprising at least two video frames; extracting a line profile along at least one line profile in each of the at least two video frames; selecting one of the at least two video frames as a reference video frame; segmenting each of the at least one line profiles into a plurality of segmented line profile group segments; aligning the plurality of segmented line profiles with the segmented line profiles in the reference video frame; translating each of the at least two video frames for each of the plurality of corresponding segmented line profile alignments; and removing a camera shift from the at least two video frames according to the translation and alignment of the plurality of segmented line profiles with the plurality of segmented line profile in the reference video frame.

A method includes capturing a first image of a scene, detecting a face in a section of the scene from the first image, and activating an infrared (IR) light source to selectively illuminate the section of the scene with IR light. The IR light source includes an array of IR light emitting diodes (LEDs). The method includes capturing a second image of the scene under selective IR lighting from the IR light source, detecting the face in the second image, and identifying a person based on the face in the second image.

A photosensitive thin film device includes a substrate that is transparent and insulative; a first electrode on the substrate; a circular semiconductor layer on the substrate and surrounding a perimeter of the first electrode; a circular second electrode on the substrate and surrounding a perimeter of the semiconductor layer; an interlayer insulating layer on the semiconductor layer and the first and second electrodes and having a first aperture exposing the first electrode; and a conductive layer including an upper surface light barrier arranged on the interlayer insulating layer and covering an upper surface of the semiconductor layer, and a contact plug extending from the upper surface light barrier and connected to the first electrode via the first aperture.

A wrist-worn athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the performance monitoring system may be based, at least in part, on gestures performed by the user, and offer an alternative to making selections on the performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activities. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring systems such that a reduction in power consumption may be achieved.

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

Signal detection and recognition employees coordinated illumination and capture of images under to facilitate extraction of a signal of interest. Pulsed illumination of different colors facilitates extraction of signals from color channels, as well as improved signal to noise ratio by combining signals of different color channels. The successive pulsing of different color illumination appears white to the user, yet facilitates signal detection, even for lower cost monochrome sensors, as in barcode scanning and other automatic identification equipment.