Panasonic I-pro Sensing Solutions Co., Ltd.

I-pro Co., Ltd.

Panasonic Intellectual Property Management Co., Ltd.

Takashi Kamio

Eisaku Miyata

Takamitsu Arai

Koji Kawamoto

Takahiro Yoshimura

Yuumi Miyake

Marie Kanda

Masashige Tsuneno

Norio Saitou

Atsuharu Yamamoto

Kazuma Ohtani

Koji Yano

Kosuke Shinozaki

Hiromichi Sotodate

Nobuhito Seki

Yohei Yamaguchi

Michito Hirose

Yuiko Takase

Ryo Kitamura

Eisuke Hiraoka

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.

Face detection method and server

An information processing device includes a receiving unit for receiving face image data of a student, who takes a class in a classroom, a plurality of times during the class from a camera provided in the classroom; a control unit for comparing the face image data with registered face image data of the student and count the number of times the student of the registered face image data is photographed by the camera during the class; and a transmission unit for transmitting the number of times of photographing to a terminal device used by a teacher who teaches the class.

Information processing device and attendance state management method

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.

Person monitoring system and person monitoring method

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.

A face detection system includes a terminal device and a server communicably connected to the terminal device. The terminal device acquires a recorded video data file selected by user operation and transmits it to the server. The server converts the received recorded video data file into recorded video data having a predetermined format, detects a face of one or more persons based on the converted recorded video data, generates one or more face-cut images by cutting out a region of the detected face, associates information of an image capturing time point at which a person corresponding to the face cut-out image is captured with the face cut-out image, and transmits the associated information to the terminal device. The terminal device displays a thumbnail image of the received face cut-out image and information of the image capturing time point side by side in a time series on a monitor.

Face detection system

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.

Information processing device and determination method

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.

A camera transmits a captured image of a surveillance area to a server. A microphone receives a sound of the surveillance area and transmits the sound to the server. The server detects a warning sound starting based on a harming behavior on a vehicle in a surveillance area and arriving from the vehicle using the sound of the surveillance area, determines an occurrence position of the harming behavior based on the detection of the warning sound, acquires a captured image of the occurrence position, determines the vehicle on which the harming behavior is executed using the captured image of the occurrence position, acquires information regarding the vehicle, and records the information regarding the vehicle and the captured image of the occurrence position in association with each other in an accumulator.

Surveillance camera system and surveillance method

A flying object detection system includes a sensor including a microphone array configured to collect a sound in a first detection area of a monitoring area, a radar configured to measure a distance to a flying object by detecting the flying object in flight in a second detection area of the monitoring area, and a control device configured to detect presence or absence of the flying object based on sound data on the sound in the first detection area collected by the microphone array, and configured to receive the distance to the flying object. The control device is configured to display information on a position of the flying object viewed from arrangement places of the sensor and the radar based on the distance to the flying object and a detection output of the flying object by the radar on a first monitor.

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Kanagawa, Japan

Takashi Kamio