There is provided a computer implemented method of extracting information about a person. Incoming sensor signals for monitoring people within a field of view of a sensor system are received and processed. In response to detecting a person located within a notification region, an output device outputs a notification to the detected person. Processing of the incoming sensor signals continues in order to monitor behaviour patterns of the person and determine from his behaviour patterns whether he is currently in a consenting or non-consenting state. An extraction function attempts to extract information about the person irrespective of his determined state. A sharing function determines whether or not to share an extracted piece of information about the person with a receiving entity in accordance with his determined state, the information not being shared unless and until it is subsequently determined that the person is in the consenting state.

A method by a computing device obtains a digital image of a physical map, identifies features in the digital image, and obtains map augmentation information based on the identified features. The method then generates an augmented map based on the map augmentation information, and provides the augmented map for display. Related mobile devices and computer program products are disclosed.

A method for monitoring a mobile input device with a screen on which information can be displayed in a first pixel raster of image elements and which comprises a flat optical fingerprint reader and a second pixel raster of light-sensitive sensor elements. A fingerprint and fingerprint characteristics, comprising position of the finger on the screen are detected. The sensor elements detect the light intensity incident on them. The intensity levels are assembled into a static pattern of the fingerprint. The combination of the static pattern and the fingerprint characteristics are compared with a database. If the combination is in the database, a check is carried out whether an action is associated with this combination, which is then carried out, or whether no action is associated with this combination, whereupon a first standard action is carried out. If the combination is not stored, a second standard action is carried out.

A facial verification method includes separating a query face image into color channel images of different color channels, obtaining a multi-color channel target face image with a reduced shading of the query face image based on a smoothed image and a gradient image of each of the color channel images, extracting a face feature from the multi-color channel target face image, and determining whether face verification is successful based on the extracted face feature.

A shelf space allocation management device manages products allocated on shelves in a store by use of an imaging device. The shelf space allocation management device acquires an image including a position assumed to be changed in allocation status of each product on each shelf; it determines whether each product reflected in the image matches one of pre-recorded images, thus executing a product allocation inspection. Herein, the shelf space allocation management device specifies a position at which a person causes any change in the allocation status of each product on each shelf, and therefore it may control the imaging device to capture an image including the position. It is possible to carry out a product allocation inspection for each period determined in advance depending on the type of each product, or it is possible to carry out a product allocation inspection being triggered by a customer purchasing each product.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

A scanning system and method for controlling an aiming light source (7), comprising: an image sensor (4), which sequentially exposes a pixel array through a rolling shutter to acquire an image of the target, the pixel array includes effective pixels (5) and non-imaging pixels (6), the effective pixels (5) are pixels that are actually used for image decoding, and the non-imaging pixels (6) are pixels that are not actually used for image decoding; an aiming light source (7) for projecting an aiming pattern (8) to aim at a target; a control unit (12) for controlling the image sensor (4) and the aiming light source (7), so that the aiming light source (7) is in turned off state during the exposure time of the effective pixel (5), and the aiming light source (7) is turned on during at least part of the exposure time of the non-imaging pixels (6).

The present disclosure relates to a safety management system. The safety management system calculates a real-time data risk score and an incident data risk score based on real-time data received from a wearable device and incident data selected from big data, calculates a total risk score by summing all values obtained by multiplying calculated risk for respective data by weights for respective data, compares the total risk store with a preset threshold score, and transmits a dangerous situation message to a risk recognition subject when it is determined that a user is at risk. The safety management system of the present disclosure may transmit the real-time data, the incident data, and the dangerous situation message using a 5G communication system, and a safety management server for determining whether or not the user is at risk may be implemented using an artificial neural network.

The present disclosure relates to an information processing apparatus and method, an electronic device and computer readable medium. According to an embodiment, an information processing apparatus includes processing circuitry configured to compare environment data acquired by a user equipment with reference data; determine, based on the comparison, an adjustment for an acquisition manner of the environment data; and perform a control to notify the user equipment of indication information related to the adjustment.

An information processing device for a retail merchandise registration system includes a communication interface configured to connect to product scanners and processing requests and image data from the scanners. The processor compares a present device load value to a threshold and sends a positive response when the present device load is less than the threshold and a negative response when the present device load is equal to or greater than the threshold load. An image processing unit is configured to perform recognition processing on the image data from the scanner devices to detect an object depicted in the image data. The processor sends a recognition result to the scanner after the recognition processing has been performed by the image processing unit.