An electronic device is disclosed herein that includes an infrared light source to emit infrared light, a rolling shutter sensor, and at least one processor. The at least one processor is to: cause the rolling shutter sensor to output a first signal corresponding to a first frame of image data during exposure to the infrared light, reset the rows of the rolling shutter sensor at a same time, cause the rolling shutter sensor to output a second signal corresponding to a second frame of image data without exposure to the infrared light from the infrared light source, determine a difference between the first signal and the second signal to generate an ambient infrared free frame, and recognize a face based on the ambient infrared free frame.

An electronic device is disclosed herein that includes an infrared light source to emit infrared light, a rolling shutter sensor, and at least one processor. The at least one processor is to: cause the rolling shutter sensor to output a first signal corresponding to a first frame of image data during exposure to the infrared light, reset the rows of the rolling shutter sensor at a same time, cause the rolling shutter sensor to output a second signal corresponding to a second frame of image data without exposure to the infrared light from the infrared light source, determine a difference between the first signal and the second signal to generate an ambient infrared free frame, and recognize a face based on the ambient infrared free frame.

Authentication of a user is based on an electronic contact lens that contains a retinal scanner. The retinal scanner captures a retinal scan, which is used to authenticate the user (i.e., what a person is). The contact lens itself may also be used in the authentication process (i.e., what a person has). Authentication based on these two factors are used to control access to assets.

A warning device according to the present invention includes an image acquisition unit configured to acquire an image group including a plurality of images taken in succession, a detection unit configured to perform detection of an object on each of images in the image group, a determination unit configured to compare detection results of the object in the image group in chronological order and determine a degree of movement of the object, and a warning unit configured to issue a warning in accordance with the determined degree of movement, wherein the image acquisition unit acquires a plurality of image groups respectively based on a plurality of filter characteristics and the determination unit compares corresponding images between the plurality of image groups and thereby selects an image with high detection accuracy for each time period, compares the selected images in chronological order, and determines the degree of movement of the object.

A method of imaging comprises: generating a superoscillatory field from coherent electromagnetic radiation; placing an object in the superoscillatory field; detecting one or more intensity distributions of the superoscillatory field scattered by the object; and determining at least one characteristic of the object from the one or more intensity distributions.

A water stress detection method for tomatoes in a seedling stage based on micro-CT and polarization-hyperspectral imaging multi-feature fusion, comprising: using micro-CT to scan microscopic morphological features such as water stress stomata, spongy body, palisade tissue, cilia, vascular bundle, root volume, main root, and root hair density of tomatoes; using a polarization-hyperspectral imaging system to obtain macroscopic morphological features such as crown width, plant height, and leaf inclination of water stress plants, as well as leaf vein distribution, average gray, and leaf margin shaded area under a water-sensitive wavelength of 1450 nm, and macroscopic morphological features such as polarization states, stock vectors, and Mueller matrix variables of 1450 nm feature images at 0°, 45°, 90°, 135°, and 180° feature polarization angles. By fusion of internal and external structures, above-ground, underground, and macroscopic and microscopic morphological features of water stress tomatoes, and mutual fusion of water stress feature wavelength images and polarization state features, advantages are complementary, comprehensive and precise extraction and precise quantitative analysis of water stress features of the tomatoes are implemented, and a basis for scientific management of water and fertilizer integration of facilities is provided.

Systems, devices, and methodologies are provided for training and controlling a neural network. The neural network is trained using definitive and random training modes to train neurons in a monolithic network. The neural network output is used to control an autonomous or semi-autonomous vehicle.

A mobile-platform imaging device uses compression of the target region to generate an image of an object. A tactile sensor has an optical waveguide with a flexible, transparent first layer. Light is directed into the waveguide. Light is scattered out of the first layer when the first layer is deformed. The first layer is deformed by the tactile sensor being pressed against the object, A force sensor detects a force pressing the tactile sensor against the object and outputs corresponding force information. A first communication unit receives the force information from the force sensor. A receptacle holds a mobile device with a second communication unit and an imager that can generate image information using light scattered out of the first layer. The first communication unit communicates with the second communication unit and the mobile device communicates with an external network.

Disclosed is a subject recognizing apparatus and method. The method may include extracting feature points from a target image, respectively measuring movement information of each of a plurality of the extracted feature points, selectively grouping the extracted feature points into one or more groups based on the respectively measured movement information, determining a type of subject present in at least one group of the one or more groups based on at least a portion of the subject present in the at least one group, and recognizing a subject included in the target image based on the determined type of subject.

Multispectral imaging and navigation systems and related techniques are provided to improve the operation of manned or unmanned mobile platforms, including mobile sensor or survey platforms. A multispectral navigation system includes a multispectral imaging system and a logic device configured to communicate with the multispectral imaging system. The multispectral imaging system includes a multispectral imaging module configured to provide multispectral image data corresponding to a projected course for a mobile platform. The logic device is configured to receive the multispectral image data, receive orientation and/or position data corresponding to the multispectral image data, and generate maneuvering obstacle information corresponding to the projected course based on the orientation and/or position data and the multispectral image data.