An optical dimensioning system includes one or more light emitting assemblies configured to project one or more predetermined patterns on an object; an imaging assembly configured to sense light scattered and/or reflected off the object, and to capture an image of the object while the patterns are projected; and a processing assembly configured to analyze the image of the object to determine one or more dimension parameters of the object. The light emitting assembly may include a single piece optical component configured for producing a first pattern and second pattern. The patterns may be distinguishable based on directional filtering, feature detection, feature shift detection, or the like. A method for optical dimensioning includes illuminating an object with at least two detectable patterns; and calculating dimensions of the object by analyzing pattern separate of the elements comprising the projected patterns. One or more pattern generators may produce the patterns.

A portable electronic device may include a housing, a display at least partially within the housing, a front cover coupled to the housing and positioned over the display, and a biometric sensor module configured to illuminate an object and capture an image of the object through the front cover. The biometric sensor module may include a first lens positioned below the front cover, a first light source positioned below the first lens and configured to project, through the first lens, a dot pattern on the object, a second light source positioned below the first lens and configured to illuminate, through the first lens, the object with a flood of light, a second lens positioned below the front cover, and a light sensor positioned below the second lens and configured to capture an image of the object.

Various implementations disclosed herein include devices, systems, and methods that detect surfaces and reflections in such surfaces. Some implementations involve providing a CGR environment that includes virtual content that replaces the appearance of a user or the user's device in a mirror or other surface providing a reflection. For example, a CGR environment may be modified to include a reflection of the user that does not include the device that the user is holding or wearing. In another example, the CGR environment is modified so that virtual content, such as a newer version of the electronic device or a virtual wand, replaces the electronic device in the reflection. In another example, the CGR environment is modified so that virtual content, such as a user avatar, replaces the user in the reflection.

A method of face anti-spoofing, a device and a storage medium are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be applied in a face recognition scene. The method includes: acquiring a face image sequence including a plurality of face images; acquiring, based on the face image sequence, a corresponding eye image sequence including a plurality of eye images; recognizing, based on the eye image sequence, a color of an optical spot caused by a pupil in each eye image, so as to obtain a pupil color recognition result; and determining a face anti-spoofing result by using the face image in the face image sequence, in response to the pupil color recognition result indicating that the face image sequence is a sequence of face images captured on site after a face recognition process is started.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

An apparatus includes an interface circuit and a control circuit. The interface circuit may be configured to receive pixel data corresponding to a field of view of a camera. The control circuit may be configured to process the pixel data arranged as video frames and control an exposure time for capturing the pixel data and a turn on time of a structured light pattern to obtain a sequence of images comprising at least one image including the structured light pattern and at least one image where the structured light pattern is absent. The control circuit may be further configured to perform a depth analysis to generate depth information using the at least one image including the structured light pattern. The control circuit may store and execute an artificial neural network trained to (i) discern whether a face is at least one of a real face and a fake face, and (ii) make a liveness determination utilizing the depth information.

The present invention addresses the problem of providing a technique for determining the authenticity of a product without requiring a special device such as an integrated circuit (IC) tag. A means for solving this problem according to the invention is characterized by determining the authenticity of a target product on the basis of the validity of the association between the body of the product and a surface-treated component that is mounted to the body and that has been validated.

A position-determining device, and a milking device, that determines a relative position of an object and includes a 3D time-of-flight camera with a 2D arrangement of pixels configured to repeatedly record an image of a space. A control unit is connected and includes an image-processing device. The 3D time-of-flight camera has a controllable light source and is configured to record a 2D image by means of reflected emitted light and collect distance information. The image-processing device is configured to recognize an object in the 2D image using image-processing criteria and determine distance information and relative position by analysing the 2D image and the distance information. Due to the fact that distance information, which is often much more noisy than 2D brightness information, can be determined with far fewer image points, the position is determined more quickly and reliably.

Systems and methods for blue light adjustment with a wearable display system are provided. Embodiments of the systems and methods for blue light adjustment can include receiving an eye image of an eye exposed to an adjusted level of blue light; detecting a change in a pupillary response by comparison of the received eye image to a first image; determining that the pupillary response corresponds to a biometric characteristic of a human individual; and allowing access to a biometric application based on the pupillary response determination.