Abstract: A reception interface (121) is configured to receive first authentication information related to first contactless authentication for authenticating a user and second authentication information related to second contactless authentication for authenticating the user in a different manner from the first contactless authentication. A processor (122) is configured to determine whether the first contactless authentication and the second contactless authentication are respectively approved based on the first authentication information and the second authentication information, and to control operation of a controlled device (21) in a case where it is determined that both the first contactless authentication and the second contactless authentication are approved.

Abstract: An image processing device includes a reception interface and a processor. The reception interface receives image data corresponding to an image in which a subject is captured. The processor detects, based on the image data, a left shoulder feature point and a right shoulder feature point of the person. The processor estimates a hidden body part of the person that is not captured in the image due to obstruction by another body part of the person based on a distance between the left shoulder feature point and the right shoulder feature point.

Abstract: An image processing device includes a reception interface and a processor. The reception interface is configured to receive image data corresponding to an image in which a subject is captured. The processor is configured to perform, with respect to the image data, processing that a skeleton model in which a plurality of feature points corresponding to four limbs are connected to a center feature point corresponding to a center of a human body is applied to the subject.

Abstract: An image processing device includes a reception interface and a processor. The reception interface receives image data corresponding to an image in which a subject is captured. The processor detects, based on the image data, a left shoulder feature point, a right shoulder feature point, and a face feature point of the person. The processor acquires a first value corresponding to a distance between the left shoulder feature point and the face feature point. The processor acquires a second value corresponding to a distance between the right shoulder feature point and the face feature point. The processor estimates presence or absence of a body twist of the person based on a ratio between the first value and the second value.

Abstract: A reception interface receives image data corresponding to an image in which a person is captured. In a case where at least one of feature points belonging to a left upper limb group is estimated to be included in a hidden body part and at least one of the feature points belonging to a right upper limb group is estimated to be included in the hidden body part, one of all the feature points belonging to the left upper limb group and all the feature points belonging to the right upper limb group are handled as feature points included in the hidden body part, and the other one of all the first feature points and all the second feature points are handled as feature points included in a non-hidden body part.