A system and method for operating a Vehicle to Infrastructure (V2I) system. The method includes receiving images from an infrared (IR) camera, determining whether a non-uniform noise exists within the received images, performing a calibration, upon determining that the non-uniform noise exists, performing a Non-Uniformity Correction (NUC) on the IR, upon determining that there is residual non-uniform noise, after performing the calibration, and determining that the IR camera has not detected a moving object that is approaching the IR camera, determining whether a Field of View (FOV) of the IR camera is occluded, after performing the NUC, and cleaning the IR camera, upon determining that the FOV of the infrared camera is occluded.

One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

Embodiments described herein can address these and other issues by using radar machine learning to address the radio frequency (RF) to perform object identification, including facial recognition. In particular, embodiments may obtain IQ samples by transmitting and receiving a plurality of data packets with a respective plurality of transmitter antenna elements and receiver antenna elements. I/Q samples indicative of a channel impulse responses of an identification region obtained from the transmission and reception of the plurality of data packets may then be used to identify, with an autoencoder, a physical object in the identification region.

Person recognition device for person re-identification in a monitoring region, having a camera apparatus and an evaluation module, wherein the camera apparatus comprises a first camera unit and a second camera unit, wherein the first camera unit is configured to record a first monitoring image of a portion of the monitoring region, wherein the second camera unit is configured to record a second monitoring image of the portion of the monitoring region, wherein the camera apparatus is configured to feed the first monitoring image and the second monitoring image to the evaluation module, wherein the evaluation module is configured to re-identify a person in the monitoring region based on the first monitoring image and the second monitoring image, wherein the second camera unit has a cut-off filter for wavelength cutting of incident light in a stop band.

Person recognition device for person re-identification in a monitoring region, having a camera apparatus and an evaluation module, wherein the camera apparatus comprises a first camera unit and a second camera unit, wherein the first camera unit is configured to record a first monitoring image of a portion of the monitoring region, wherein the second camera unit is configured to record a second monitoring image of the portion of the monitoring region, wherein the camera apparatus is configured to feed the first monitoring image and the second monitoring image to the evaluation module, wherein the evaluation module is configured to re-identify a person in the monitoring region based on the first monitoring image and the second monitoring image, wherein the second camera unit has a cut-off filter for wavelength cutting of incident light in a stop band.

The present disclosure discloses a communication connection method. The method includes: capturing an image containing a marker and identifying the marker in the image; acquiring an identifier of a controller corresponding to the marker when the marker is a controller marker, the identifier being used for pairing during a communication connection with the controller; and establishing the communication connection with the controller based on the identifier.

Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data, the frame of thermal image data captured in the media environment, a comparator to compare the heat blob count to a prompted people count, the prompted people count based on one or more responses to a prompting message, and when the heat blob count and the prompted people count match, cause a timer that is to trigger generation of the prompting message to be reset.

Systems and methods for through-display imaging. An optical imaging sensor is positioned at least partially behind a display and is configured to emit shortwave infrared light at least partially through the display to illuminate an object, such as a fingerprint, in contact with an outer surface of the display. Surface reflections from the object are received and an image of the object can be assembled.

A system comprises a camera for capturing an image, at least one processor and at least one memory, the at least one memory storing instructions configured to cause the processor to: obtain an image of a scene captured using the camera, the scene comprising a footprint of a user of the system; identify the footprint in the image; identify a first plurality of reference points each having a fixed position relative to the footprint in the image; identify a second plurality of reference points each having a fixed position relative to a three-dimensional model of the user's foot constructed based on at least one known dimension of the user's foot; determine a transformation matrix by mapping the second plurality of reference points of the three-dimensional model to the first plurality of reference points; and determine, based on the transformation matrix, a three-dimensional position of the camera relative to the footprint in the scene at the time of capturing the image.