An electronic device, a method, and computer readable medium are disclosed. The method includes transmitting radar signals via a radar transceiver. The method also includes identifying signals of interest that represent biometric information of a user based on reflections of the radar signals received by the radar transceiver. The method further includes generating an input based on the signals of interest that include the biometric information. The method additionally includes extracting a feature vector based on the input. The method also includes authenticating the user based on comparison of the feature vector to a threshold of similarity with preregistered user data.

A non-transitory computer-readable medium encoded with a computer-readable program which, when executed by a processor, will cause a computer to execute a method of authenticating a 3-D object with a 2-D camera, the method including building a pre-determined database. The method additionally includes registering the 3-D object to a storage unit of a device comprising the 2-D camera, thereby creating a registered 3-D model of the 3-D object. Additionally, the method includes authenticating a test 3-D object by comparing the test 3-D object to the registered 3-D model.

Systems, apparatuses and methods may provide for technology that detects an unidentified individual at a first location along a trajectory in a scene based on a video feed of the scene, wherein the video feed is to be associated with a stationary camera, and selects a non-stationary camera from a plurality of non-stationary cameras based on the trajectory and one or more settings of the selected non-stationary camera. The technology may also automatically instruct the selected non-stationary camera to adjust at least one of the one or more settings, capture a face of the individual at a second location along the trajectory, and identify the unidentified individual based on the captured face of the unidentified individual.

Systems and methods for enrolling and authenticating a user in an authentication system via a user's camera of camera equipped mobile device include capturing and storing enrollment biometric information from at least one first image of the user taken via the camera of the mobile device, capturing authentication biometric information from at least one second image of the user, capturing, during imaging of the at least one second image, path parameters via at least one movement detecting sensor indicating an authentication movement of the mobile device, comparing the authentication biometric information to the stored enrollment biometric information, and comparing the authentication movement of the mobile device to an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.

A merchant and a user register with a payment processing system, which establishes a facial template based on a user image. The user signs into a payment application via a user computing device, which receives an identifier from a merchant beacon device to transmit to the payment processing system. The payment processing system transmits facial templates to the merchant camera device for other users who are also signed in to the payment application in range of the merchant beacon device. The merchant camera device compares a captured facial image against the received facial templates to identify the user. A merchant POS device operator selects an account of the user. The merchant POS device transmits transaction details to the payment processing system, which processes the transaction with an issuer system. The payment processing system receives an approval of the transaction authorization request and transmits a receipt to the merchant POS device.

An operation of a facial recognition authentication process may fail to authenticate a user even if the user is an authorized user of the device. In such cases, the facial recognition authentication process may automatically re-initiate to provide another attempt to authenticate the user using additional captured images. For the new attempt (e.g., the retry) to authenticate the user, one or more criteria for the images used in the facial recognition authentication process may be adjusted. For example, criteria for distance between the camera and the user's face and/or occlusion of the user's face in the images may be adjusted before the new attempt to authenticate the user. Adjustment of these criteria may increase the likelihood that the authorized user will be successfully authenticated in the new attempt.

A facial recognition system, comprising: an automatically adjustable camera rig comprising a plurality of movable cameras, wherein the plurality of movable cameras are moved by a camera control platform according to take enrollment images; a first input for receiving images from the automatically adjustable camera rig; a second input for receiving a plurality of images from an comparative input; a first computing memory for storing a machine learning model that includes a three dimensional and a two dimensional comparison between the received first input and the received second input, wherein the comparison uses key facial points to compute a distance between the first input and the second input; and a match output in a case of a distance within a predetermined threshold.

A first user device includes a camera. The first user device receives a challenge-response message following a request for access to a secure server. The first user device captures a first image of the first user. The first image includes an image of at least a portion of a face of the first user. An authentication result from facial recognition scan of the second user is received. Facial recognition is used to determine that the face of the first user is a face of an authorized user of the secure server. The first user device generates and sends a response to the challenge-response message based on results of facial recognition and the received authentication results.

Video-assisted presence detection is used to enhance a user experience in telephony communications. Image data, video data, or both, from a camera are used to determine whether a user is present at their device before a call is transferred to him or her. The video-assisted presence detection can be implemented based on a privacy setting. For example, one implementation allows a system to have partial access to the camera to perform a scan to detect that there is a human present without capturing facial information, and without identifying that person. Another implementation allows the system to have partial access to the camera to scan the a face of a user, but not have access to the video feed of the camera. Another implementation allows the system to have full access to the camera.

Photochromic formulations including a core material and a photochromic layer overlying the core material and forming a particle are provided. The photochromic layer may include a plurality of photochromic materials, including a first photo-responsive pigment characterized by reversible diffuse reflectance at a first central wavelength from 490 nm to 520 nm in response to irradiation by photons of a first characteristic wavelength, a second photo-responsive pigment characterized by reversible diffuse reflectance at a second central wavelength from 570 nm to 590 nm in response to irradiation by photons of a second characteristic wavelength, and a third photo-responsive pigment characterized by reversible diffuse reflectance at a third central wavelength from 450 nm to 495 nm and a fourth central wavelength from 625 nm to 740 nm in response to irradiation by photons of a third characteristic wavelength. The first, second, and third characteristic wavelengths may be different.