The present invention provides an image processing apparatus comprising: a first camera obtaining a true-color image by capturing a subject; a second camera spaced apart from the first camera and obtaining an infrared image by capturing the subject; and a control unit connected to the first camera and the second camera, wherein the control unit matches the true-color image and the infrared image and obtains three-dimensional information of the subject by using the matched infrared image in a region corresponding to the matched true-color image and a valid pixel.

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.

A technology that can make the touch detection results at corner portions proper is proposed. A display device includes a display panel, a sensor substrate formed on the display panel, and plural drive electrodes and plural detection electrodes extended in a direction so as to intersect with the plural drive electrodes on the sensor substrate. Among the plural drive electrodes, any of the lengths of N first drive electrodes (where N represents the number), which are continuously adjacent to one another, is shorter than any of the lengths of the other drive electrodes. An area where at least one drive electrode among the N first drive electrodes and at least one detection electrode overlap each other is larger than the area of an intersectional portion where any of the other drive electrodes and any of the other detection electrodes overlap each other.

A display device includes a window on which a fingerprint detection region in which fingerprint information is detected is defined, an optical layer disposed below the window and in which at least one transmission hole overlapping the fingerprint detection region is defined, a protection layer disposed below the optical layer, and a sensor. A refractive index of the protection layer is greater than a refractive index of the window. A distance from the optical layer to the window is less than a distance from the optical layer to the sensor.

System and methods are disclosed for rapid license plate reading. A first image having a first resolution may be generated. A location of a license plate in the first image may be detected. The license plate may be read from a second image in accordance with the location of the license plate. The second image may have a second resolution greater than the first resolution. In embodiments, reading the license plate may comprise tracking the license plate across a plurality of license plate images.

A fingerprint sensor comprising a plurality of electrically conductive sensing structures arranged in a sensing plane for capacitively sensing a fingerprint of a finger placed on the finger receiving surface of the fingerprint sensor arrangement, the plurality of electrically conductive sensing structures including: a first set of electrically conductive sensing structures, each sensing structure in the first set of electrically conductive sensing structures covering an area in the sensing plane being within a first area range; and a second set of electrically conductive sensing structures, each sensing structure in the second set of electrically conductive sensing structures covering an area in the sensing plane being within a second area range only including areas greater than the areas within the first area range.

The present invention relates to a system and method for inspecting object using a plurality of interlacing radiation energies. The system comprising a radiation module configured for producing and capturing radiation in multiple energy levels to scan the content of the cargo and converting the captured radiation into a plurality of images; and a controller configured for signalling the radiation module to start or to stop producing radiation and for controlling the energy level and pulse frequency of the radiation produced by the radiation module. The system further comprising a processor configured for determining whether the cargo contains any contraband or not by analysing the plurality of images, classifying the cargo based on types of materials and substance groups and highlighting region on an analysed image of the same substance by bounding perimeter of the object within a material-colour image for the material.

A smart chip assembly capable of communicating with each other and variable array in packaging contains at least two intelligent single-chip, which can be easily formed into a smart chip assembly by cutting after packaging. Each intelligent single-chip has a camera lens module, and each lens module is arranged in a different position and angle to separately obtain images of different angles or depths of field of the object to be recognized, and provide each intelligent single-chip to independently process the image and judge by itself. The result of each judgment based on the obtained images of different angles or depths of field can also be used as one of the options for reference judgment. Then through the mutual communication between the intelligent single-chips, they calculate and analyze different image and image dynamics, and make comprehensive judgments to obtain the best interpretation. Finally, the command is sent to the connected power mechanism to perform corresponding actions to achieve more flexible application and improve the accuracy of identification.

Systems and methods for performing direct conversion of image sensor data to image analytics are provided. One such system for directly processing sensor image data includes a sensor configured to capture an image and generate corresponding image data in a raw Bayer format, and a convolution neural network (CNN) coupled to the sensor and configured to generate image analytics directly from the image data in the raw Bayer format. Systems and methods for training the CNN are provided, and may include a generative model that is configured to convert RGB images into estimated images in the raw Bayer format.

Systems and methods for performing direct conversion of image sensor data to image analytics are provided. One such system for directly processing sensor image data includes a sensor configured to capture an image and generate corresponding image data in a raw Bayer format, and a convolution neural network (CNN) coupled to the sensor and configured to generate image analytics directly from the image data in the raw Bayer format. Systems and methods for training the CNN are provided, and may include a generative model that is configured to convert RGB images into estimated images in the raw Bayer format.