Disclosed is a medical system for displaying and recording injection sites of patients. After patient identification based on the patient's vein patterns, the system can retrieve and display previous injection sites (e.g., for blood draw or injection) of the patient as overlaid at actual positions of the injection sites. The system can determine potential new injection sites based on the locations of the previous injection sites. The system can also ensure workflow compliance by displaying and tracking procedures performed by the healthcare professional.

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.

A fingerprint recognition device includes a light source, a light conversion layer, a light detector, and a light filter. The light source is configured to emit a first light having a first wavelength. The light conversion layer is configured to convert the first light to a second light having a second wavelength different from the first wavelength. The light detector is configured to detect the second light reflected by a fingerprint. The light filter is disposed between the light conversion layer and the light detector, and configured to substantially filter out the first light and substantially pass the second light.

A carrier includes a body, a sensor, and an output unit. The body has the ability to travel autonomously and includes a holding mechanism for holding a burden. The sensor is provided for the body and detects a situation surrounding the body. The output unit outputs detected information, collected by the sensor, about the situation to a management device that manages operation of another carrier.

According to various embodiments of the present invention, an electronic device can comprise: a light source configured to allow light, excluding a visible light band, to be incident on a designated pattern; a memory for storing designated pattern information; a camera configured to receive the light, which is incident from the light source and reflected by an external object; and a processor. The processor can be configured to: acquire a first image on an external object by using a camera, wherein the first image includes a pattern formed when the designated pattern is deformed by a curve of the surface of the external object; extract deformed pattern information from the first image by using the first image and the designated pattern information; and generate a second image from which the pattern deformed in the first image has been removed, by using the first image and the extracted deformed pattern information. Additional various embodiments are possible.

Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.

Hand recognition system that compares narrow band ultraviolet-absorbing skin chromophores to identify a subject. Ultraviolet images of hands show much greater detail than visible light images, so matching of ultraviolet images may be much more accurate. A database of known persons may contain reference ultraviolet hand images tagged with each person's identity. Reference images and subject images may be processed to locate the hands, identify features (such as chromophores), compare and match feature descriptors, and calculate correlation scores between the subject image and each reference image. Locating and normalizing hand images may use infrared and visible light cameras in addition to ultraviolet. If the subject is moving, the subject's hand may be tracked, a 3D model of the subject's hand may be developed from multiple images, and this model may be rotated so that the orientation matches that of the reference images.

An imaging apparatus includes: a detector configured to detect a surface position of an object by receiving a second electromagnetic wave of which wavelength is shorter than a first electromagnetic wave; a focusing device configured to collect the first electromagnetic wave reflected on the object; at least one memory and at least one processor which function as a control unit configured to control the focusing device such that a position based on the surface position is focused on; and an image sensor configured to image the object using the first electromagnetic wave collected by the focusing device.

A computer-implemented method of detecting one or more objects in a driving environment located externally to a vehicle, and a vehicle imaging system configured to detect one or more objects. The computer-implemented method includes training a first neural network to detect objects in a color video stream, the first neural network having a plurality of mid-level color features at a plurality of scales, and training a second neural network, operatively coupled to color neural network and an infrared video stream, to match, at the plurality of scales, mid-level infrared features of the second neural network to mid-level color features of the first neural network. A pixel-level invisibility map is then generated from the color video stream and the infrared video stream by determining differences, at each of the plurality of scales, between mid-level color features at the first neural network and mid-level infrared features at the second infrared neural network, and coupling the result to a fusing function.