Environmental information is managed by a neural network.

An image detection module includes a first neural network, a first communication module, a first position sensor, a first processor, and a passive element. The first neural network includes an imaging device. The imaging device has a function of obtaining an image, and the first position sensor has a function of detecting positional information on where the image is obtained. When the first neural network determines whether the image has learned features, the first processor can transmit the positional information on where the image is obtained. The first processor receives a detection result through the first communication module, and the first processor can operate the passive element in accordance with the detection result.

The invention relates to a method of operating a textile treatment device comprising a heatable soleplate intended to be in contact with a textile for treating the textile. The method comprises a first step (1001) of setting a first temperature target for the heatable soleplate, and a step (1002) of detecting movement of said textile treatment device. If the step (1002) of 5 detecting movement did not detect any movement of said textile treatment device during more than a given first time duration, a step (1004) of actively decreasing the temperature of the heatable soleplate (4) up to reaching a first given temperature having a value below said first temperature target.

An information processing apparatus according to an embodiment of the present technology includes a projection controller and a mode controller. The projection controller controls projection of first information and projection of second information that is classified as information of which a type is different from a type of the first information. The mode controller is capable of performing switching between a first projection mode and a second projection mode, the first projection mode being a projection mode in which the first information and the second information are projected onto a projection-target object, the second projection mode being a projection mode in which the first information is projected onto the projection-target object, and the second information is projected onto a region outside of the projection-target object.

A conveyor debris detection system and method detects foreign objects on a conveyor based on size or matching a preset image stored in a database. Non-debris objects such as eggs are filtered out by color. The debris detection system includes a frame and housing for placement above the conveyor, a lighting unit attached to the frame for illuminating the conveyor below the frame, and a camera attached to the frame for capturing images of the objects moving along the conveyor wherein the images are captured at preset time intervals. A processor unit receives the images and identifies the foreign objects and initiates a debris signal when foreign objects are identified. An alarm sounds when foreign objects are detected so that the foreign objects can be removed to prevent damage or contamination from the foreign objects.

A camera device includes a windshield information detection camera and a vehicle exterior information detection camera. The windshield information detection camera captures an image to obtain information about a surface of a windshield. The vehicle exterior information detection camera captures an image to obtain information about the vehicle exterior. The windshield information detection camera and the vehicle exterior information detection camera are fixed to a vehicle in a state in which they are also fixed to each other.

An endoscope system includes an identification unit that identifies the type of an image obtained by image capturing of a photographic subject, a recognition unit that performs a recognition process of recognizing the photographic subject by using the image, and a notification unit that gives a notification of whether the recognition process functions for the image of a specific type identified by the identification unit. The identification unit identifies the type of the image by determining an operation mode, the model of an endoscope used in image capturing of the photographic subject, or whether or not a drug is administered to the photographic subject.

An object classification method includes: acquiring image data of an image including feature information indicating a feature of an object; and classifying the object included in the image, based on the feature information. The image data is acquired by causing a first image capture device to capture the image. The first image capture device includes: an image sensor; and a filter array that is arranged on an optical path of light that is incident on the image sensor and that includes translucent filters two-dimensionally arrayed along a plane that crosses the optical path, the translucent filters including two or more filters in which wavelength dependencies of light transmittances are different from each other, and light transmittance of each of the two or more filters having local maximum values in a plurality of wavelength ranges.

An apparatus for capturing animal nose pattern images on a mobile device using a camera embedded in the mobile device and a mount unit attached to the mobile device that facilitates simple and secure attachment onto the mobile device. A shell unit connects and encloses a space between the animal nose and the camera of the mobile device. A lens attachment unit placed over the camera and having one or more lenses allows a regular mobile device camera to take animal nose pattern images with no internal hardware modification. An illumination unit provides additional light to improve an image quality. The mount unit is a mechanism by which the shell unit, the lens attachment unit and the illumination unit are fastened onto the mobile device.

There is provided a biometric imaging device configured to be arranged under an at least partially transparent display panel and configured to capture an image of an object in contact with an outer surface of the display panel. The biometric imaging device comprises: an image sensor comprising a photodetector pixel array; a transparent substrate arranged to cover the image sensor; an opaque layer covering an upper surface of the transparent substrate, wherein the opaque layer further comprises a plurality of separate openings; and a plurality of microlenses, each microlens being arranged in alignment with a respective opening of the opaque layer; wherein each microlens is configured to redirect light through the transparent substrate and onto a subarray of pixels in the photodetector pixel array.

A display includes: a display panel having display pixels and providing visible light to display information; an optical sensor sensing an object disposed above the display panel; and an infrared (IR) source providing initial IR light penetrating through the display panel to illuminate the object, which generates to-be-sensed IR light penetrating through the display panel and received by the optical sensor, which obtains an image signal, wherein the IR source is disabled in a first period when the display pixels are enabled, and is enabled in a second period of a disable period when the display pixels are disabled. The second period lags behind the first period by a third period. An optical sensing module is also provided.