Method to customize an application associated with a television experience based on the recognition of users located in front of a display and in the field of view of a camera, comprising the following steps: an initialization step during which each user is enrolled in a database of a computer system and is defined by a profile referenced by a profile ID and comprising the user name, biometric data and additional personal data, a finding step during which a wide image, acquired by said camera is scanned to isolate at least one user's faces, to define a marking area surrounding it, to memorize the position of said marking areas, a matching step to extract the biometric data from said marking area, to match them with the biometric data of the profiles stored in the database, and to assign the detected profile ID with the marking area.

While subsequent identification is requested by the application, the following steps are executed acquiring a wide image with the camera, extracting the areas of said image according to the marking areas, extracting for a particular marking area the biometric data of a face, starting the comparison of the extracted biometric data with the biometric data of the profile ID related to this marking area, and in absence of match, continuing with the other biometric data of the database until one profile is found, transmitting the found profile ID to the application.

A biometric capture device is operative to adjust one or more environmental parameters to enhance a range (e.g., distance) at which a biometric may be captured from a subject. For example, a sample biometric capture device may be, include, or otherwise incorporate a retinal or iris scanner configured to capture an image of the retina or iris (e.g., a biometric) when the retina or iris is illuminated by infrared light. Generally, the amount of infrared light required to accurately image the retina or iris increases with the distance of the subject's retina or iris from the image capture device. The biometric capture device may capture a facial image using a first image sensor, identify a face in the facial image, capture an iris image using a second image sensor guided by the facial image, and identify a person using the iris image.

A fingerprint identification device and a fingerprint identification method are provided. The fingerprint identification device includes a self-emitting display panel, a fingerprint sensor and a processor. The self-emitting display panel displays at least one light pattern in a sensing region. The fingerprint sensor senses a finger object located above the sensing region of the self-emitting display panel to generate a first fingerprint image and a second fingerprint image corresponding to the at least one light pattern. The processor is coupled to the fingerprint sensor. The processor determines whether the first fingerprint image and the second fingerprint image have opposite tones to identify the finger object is a real finger or a fake finger.

An inspection device having a plurality of functions is achieved. The performance of an inspection device is improved. A structure of an inspection device is simplified. A structure of an imaging device is simplified. The inspection device includes a light source having a function of emitting infrared light, a light source having a function of emitting visible light, and an imaging portion which are provided over a substrate having flexibility, and inspects a fruit or vegetable. A first image based on light including reflected light of the infrared light, and a second image and a third image based on tight including reflected light of the visible light are captured by the imaging portion. The inspection device has a function of detecting one or more of the sugar content, the acidity, and a physiological disorder of a fruit or vegetable on the basis of the first image. The inspection device has a function of detecting at least one of the color and a scratch of a surface of the fruit or vegetable on the basis of the second image. The inspection device has a function of determining the grade of the fruit or vegetable on the basis of the first image and the second image. The inspection device has a function of detecting the size of the fruit or vegetable and determining the class on the basis of the third image.

A depth sensing device, situated above a threshold to a room, collects asynchronous, non-personally-identifiable data regarding a count of people entering and exiting across the threshold. Phase shift of modulated infrared light reflected from a light source to an object is measured and converted into depth data indicating the depth of the pixels therein. The depth data is used to classify detected objects as human, and to track their movement bi-directionally through the threshold. A running count of humans entering or exiting the room is streamed to a remote server, which aggregates data collected from a number of depth sensing devices. The server then makes that data available at various levels of visualization corresponding to different levels of a hierarchy of nested virtual spaces, such as a multi-entrance room, or a building. Entities that access this data may see a real-time, accurate count of humans currently occupying the virtual space, as well as historical data.

A system including circuitry configured to process multispectral image data of a meal to obtain information on the contents of the meal; and generate, based on the obtained information, a query with guidance to change image capture settings.

Disclosed herein is a system for facilitating monitoring an environment. Accordingly, the system comprises a camera, an artificial intelligence (AI) processing unit, a radio unit, and at least one alternative energy capturing device. Further, a camera device is configured for capturing video of an environment. Further, an AI processing unit is responsible to analyze captured videos, detect whether certain relevant events occurred, make a decision, then generate relevant alert. Further, the radio unit is capable to send the generated alert to different devices. Further, the alternative energy capture device can use solar or other energy source to keep the entire system running.

Methods and apparatus for applying data analytics such as deep learning algorithms to sensor data. In one embodiment, an electronic device such as a camera apparatus including a deep learning accelerator (DLA) communicative with an image sensor is disclosed, the camera apparatus configured to evaluate unprocessed sensor data from the image sensor using the DLA. In one variant, the camera apparatus provides sensor data directly to the DLA, bypassing image signal processing in order to improve the effectiveness the DLA, obtain DLA results more quickly than using conventional methods, and further allow the camera apparatus to conserve power.

Disclosed is a surface sensing apparatus, one embodiment having a source of coherent radiation capable of outputting wavelength emissions to create a first illumination state to illuminate a surface and create a first speckle pattern, an emission deviation facility capable of influencing the emission to illuminate the surface and create a second illumination state and a second speckle pattern, and a sensor capable of sensing a representation of the first and a second speckle intensity from the first and second speckle pattern. Also disclosed are methods of sensing properties of the surface, one embodiment comprising the steps of illuminating the surface having a first surface state with the source of coherent radiation emission, sensing a first speckle intensity from the surface, influencing a relationship of the surface to the emission to create a second surface state and sensing a second speckle intensity from the surface at the second surface state.

Systems and methods for assessing the effectiveness of a decontamination event to decontaminate a portion of at least one of skin or a covering of the skin of an individual. A water dispenser housing a light source and an agent dispensing system. The light source to emit light in accordance with a predetermined field of view, and to emit the light at a sufficient intensity and wavelength to cause a fluorescent agent dispensed by the agent dispensing system to fluoresce. The field of view defines an inspection space in which the portion of the individual can be positioned to detect at least one of a presence or an absence of the fluorescent agent during the decontamination event.