Abstract: A face authentication system including a storage to store a face image of each of a plurality of persons who are permitted to enter in advance and information on a zone; an image processing unit to detect a face of at least one person in an image captured by at least one camera having identification information, and generate a face cut-out image of the at least one person; a zone determination unit to determine a zone where a person in the face cut-out image is captured; a collation unit to collate the face cut-out image with the face image of each of the plurality of persons; and an output control unit to, when it is determined that there is not a face of a person appearing in the face cut-out image, superimpose a detection frame indicating a face of a person who is not permitted to enter the zone.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in a video image sent from a monitoring camera and store a whole body image obtained by cutting out the whole body of the person and a face image obtained by cutting out the face of the person. In response to designation of a person of interest, the server executes first collation processing targeted for the whole body image of the person of interest and second collation processing targeted for the face image of the person of interest. Also, in response to identification of a person matching at least one of the whole body image and the face image of the person of interest by at least one of the first collation processing and the second collation processing, the server outputs a notification that the person of interest is found.

Abstract: There is provided a person monitoring system including at least one camera and a server that is communicably connected to the at least one camera. The server, based on reception of detection information of a predetermined event from a gate that regulates passage in response to a detection of the predetermined event, requests a first camera, that captures an image of a capturing area including the gate, for a face image of a person near the gate when the predetermined event occurs. The first camera captures an image of the person near the gate when the predetermined event occurs and transmits, to the server, a face image obtained by cutting out a range having a face of the person from the image of the person. The server outputs alarm information based on the face image and register the face image in a database.

Abstract: A monitoring camera is equipped with artificial intelligence. The monitoring camera includes an imaging unit configured to capture an image of a monitoring area, an acquisition unit configured to acquire schedule information indicating a time range in which at least one learning model used for the artificial intelligence that detects an object is validated, a detection unit configured to detect the object from an image captured by the imaging unit based on the learning model, and a processor configured to generate and output an alarm indicating that the object is detected when the object is detected by the detection unit. The processor is configured to switch the learning model based on the schedule information.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in a video image sent from a monitoring camera and store a whole body image obtained by cutting out the whole body of the person and a face image obtained by cutting out the face of the person. In response to designation of a person of interest, the server executes first collation processing targeted for the whole body image of the person of interest and second collation processing targeted for the face image of the person of interest. Also, in response to identification of a person matching at least one of the whole body image and the face image of the person of interest by at least one of the first collation processing and the second collation processing, the server outputs a notification that the person of interest is found.

Abstract: A face detection method to be implemented by a camera and a server that are communicably connected to each other includes the steps of: acquiring a captured video captured by the camera; detecting a face of one or more persons based on the captured video; generating one or more face cut-out images by cutting out a region of the detected face; counting a number of detection times that a person who is the same as or similar to a person in the face cut-out image is detected in a predetermined detection period; determining a category of the person based on the number of detection times; and outputting the face cut-out image corresponding to the person, the number of detection times corresponding to the person, and the category corresponding to the person in association with each other.

Abstract: A face authentication system including a storage to store a face image of each of a plurality of persons who are permitted to enter in advance and information on a zone; an image processing unit to detect a face of at least one person in an image captured by at least one camera having identification information, and generate a face cut-out image of the at least one person; a zone determination unit to determine a zone where a person in the face cut-out image is captured; a collation unit to collate the face cut-out image with the face image of each of the plurality of persons; and an output control unit to, when it is determined that there is not a face of a person appearing in the face cut-out image, superimpose a detection frame indicating a face of a person who is not permitted to enter the zone.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in each of video images from a plurality of monitoring cameras and stores a whole body image and a face image as an analysis result. In response to designation of the whole body image and the face image of a person of interest, a client terminal sends a request for execution of each of first collation processing and second collation processing to the server. When a person matching at least one of the whole body image and the face image of the person of interest is specified by at least one of the first collation processing and the second collation processing, the server sends an alarm notification to the client terminal that the person of interest is found to the client terminal.

Abstract: An information processing device and a determination method for determining whether a person other than the persons determined to be permitted to enter each zone has entered the zone is provided. The information processing device has a communication section for receiving face image data from cameras for photographing respective plurality of zones in a building and a control section for collating the face image data with the registered face image data of the persons permitted to enter each zone and for determining whether the entry of the person corresponding to the face image data is permitted or not.

Abstract: An information processing device receives face image data from cameras for photographing respective plurality of zones in a building and includes a memory and a processor. The memory stores first information in which camera identification information of respective plurality of cameras is associated with the plurality of zones, and second information in which registered face image data is associated with a zone into which an entry of a person corresponding to the registered face image data is permitted. The processor refers to the first information and the second information, determines a photographing zone in which a person corresponding to the received face image data has been photographed, and determines whether or not the entry of the person corresponding to the face image data is permitted.

Abstract: An information processing device and a determination method for determining whether a person other than the persons determined to be permitted to enter each zone has entered the zone is provided. The information processing device has a communication section for receiving face image data from cameras for photographing respective plurality of zones in a building and a control section for collating the face image data with the registered face image data of the persons permitted to enter each zone and for determining whether the entry of the person corresponding to the face image data is permitted or not.

Abstract: There is provided a person monitoring system including at least one camera and a server that is communicably connected to the at least one camera. The server, based on reception of detection information of a predetermined event from a gate that regulates passage in response to a detection of the predetermined event, requests a first camera, that captures an image of a capturing area including the gate, for a face image of a person near the gate when the predetermined event occurs. The first camera captures an image of the person near the gate when the predetermined event occurs and transmits, to the server, a face image obtained by cutting out a range having a face of the person from the image of the person. The server outputs alarm information based on the face image and register the face image in a database.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in each of video images from a plurality of monitoring cameras and stores a whole body image and a face image as an analysis result. In response to designation of the whole body image and the face image of a person of interest, a client terminal sends a request for execution of each of first collation processing and second collation processing to the server. When a person matching at least one of the whole body image and the face image of the person of interest is specified by at least one of the first collation processing and the second collation processing, the server sends an alarm notification to the client terminal that the person of interest is found to the client terminal.

Abstract: An information processing device and a determination method for determining whether a person other than the persons determined to be permitted to enter each zone has entered the zone is provided. The information processing device has a communication section for receiving face image data from cameras for photographing respective plurality of zones in a building and a control section for collating the face image data with the registered face image data of the persons permitted to enter each zone and for determining whether the entry of the person corresponding to the face image data is permitted or not.