Panasonic I-pro Sensing Solutions Co., Ltd.

Panasonic Intellectual Property Management Co., Ltd.

I-pro Co., Ltd.

Takeshi Wakako

Takahiro Yoshimura

Rie Sakito

Tetsurou Kakizawa

Kazuhiro Yanagi

Takamitsu Arai

Youhei Koide

Koji Kawamoto

Yuumi Miyake

Kazuya Ozawa

Masaki Yamaguchi

Haru Kamada

Yasuo Yomogida

Eisaku Miyata

Masashige Tsuneno

Kaoru Tsurumi

Junichi Ishikawa

Akihiko Fukada

A monitoring camera video sharing system includes a user terminal for viewing of video data of a monitoring camera, and a server for storing access permission data including first user information and monitoring camera information. The first user information includes an access right to the video data of the monitoring camera, and the monitoring camera information indicates information of the monitoring camera. The server updates the access permission data by adding an access right to the video data of the selected monitoring camera to second user information based on sharing processing of the access permission data to the second user information, and sets the video data of the selected monitoring camera linked to the access permission data and specified by the monitoring camera information such that the video data of the selected monitoring camera is accessible by the user terminal based on the second user information.

Monitoring camera video sharing system and monitoring camera video sharing method

The present disclosure accurately detects the position of a shelf label disposed on a display shelf. A shelf label detection device may be provided with a shelf label position correction unit and a shelf label position identification unit. The shelf label position correction unit corrects a manual shelf label position set including a shelf label position that has been set in advance for a reference camera image, using an automatic shelf label position set which includes a shelf label position detected from a monitoring camera image using image recognition, thereby generating a corrected shelf label position set. The shelf label position identification unit uses the corrected shelf label position set to identify the shelf label position in the monitoring camera image.

Shelf label detection device, shelf label detection method, and shelf label detection program

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.

Face authentication system and face authentication method

A monitoring area setting device includes a storage unit storing information of one area and card reader information of a card reader corresponding to the area, an input unit receiving an administrator operation, and a processor generating, based on the administrator operation, an access control rule including information of a monitoring area to be monitored by a camera in the area and person information of a person that allows access to the monitoring area. When the card reader information corresponding to the monitoring area is input, the processor generates the access control rule further including the card reader information. When the card reader information corresponding to the monitoring area is not input, card reader information of a virtual reader designated by the administrator operation for access to the monitoring area is generated, and the access control rule further including generated card reader information of the virtual reader is generated.

Monitoring area setting device, monitoring area setting method, and alert notification method

A shelf monitoring device may be provided with a detector, a setter, a monitoring section, and an output section. The detector detects shelf labels attached to a display shelve to correspond to articles to be displayed on the display shelves, with video recognition of video data that includes the display shelves. Based on the position of the detected shelf label, the setter sets a monitoring area in which articles to be displayed on the display shelves in video data. The monitoring section monitors the shelving condition of the articles on the display shelves based on a change in video in response to the presence or absence of the article in the monitoring area. The output unit outputs the monitoring results according to the monitoring unit.

Shelf monitoring device, shelf monitoring method, and shelf monitoring program

A client terminal displays, on a display device, a visual feature of each of a plurality of vehicles passing through an intersection at a location where an incident occurred and map data indicating a passing direction of each of a plurality of vehicles passing through the intersection and sends, in response to a designation of any one of the plurality of vehicles, an instruction to set the designated vehicle as a tracking target vehicle to the server. When the instruction is received, a server specifies a camera of the intersection at which the tracking target vehicle is highly likely to enter next based on at least a current time and a passing direction of the tracking target vehicle at the intersection and sends camera information of the specified camera to the client terminal. When the camera information is received, the client terminal displays, on the display device, a position of a camera corresponding to the camera information to be superimposed on the map data identifiably.

Vehicle detection system and vehicle detection method

An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras respectively in correlation with a capturing time, camera information, and intersection information. The processor retrieves a vehicle satisfying a retrieval condition based on a captured video of the camera specified by camera information corresponding to designated intersection information specifying at least one intersection of the plurality of intersections. The processor superimposes a traveling direction of a selected vehicle at the time of passing through an intersection corresponding to the designated intersection information on a position of the intersection on the road map in response to selection of the information on the vehicle.

Investigation assist system and investigation assist method

A monitoring video analysis system includes a wearable camera and a back end server that receives video data files of a captured video. The back end server detects an object appearing in frames constituting the received video data file, for each frame. The back end server stores a position of the object detected for each frame, for each object, as tracking information. The back end server displays the object detected for each frame, on monitor, by using identifiable solid-line border.

Monitoring video analysis system and monitoring video analysis method

An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras in correlation with a capturing time, camera information, and intersection information. The processor retrieves at least one vehicle satisfying a retrieval condition and extracts a traveling direction of the vehicle when passing through each of the plurality of intersections based on the captured videos of the plurality of cameras in response to a designation of the retrieval condition including information on time when an incident occurs and feature information on a vehicle causing the incident. The processor superimposes a traveling route of the vehicle on the road map based on the traveling direction extracted for each of the intersections and outputs the traveling route to an output unit.

A vehicle detection system includes a server connected to be able to communicate with a camera installed at an intersection and a client terminal connected to be able to communicate with the server. The client terminal sends, in response to input of information including date and time and a location at which an incident occurred and a feature of a vehicle which caused the incident, an information acquisition request relating to a vehicle which passes through the intersection at the location at the date and time to the server. The server extracts vehicle information and a passing direction of the vehicle passing through the intersection at the location in association with each other based on a captured image of the camera of the camera installed at the intersection at the location at the date and time in response to a reception of the information acquisition request and sends an extraction result to the client terminal. The client terminal displays a visual feature of the vehicle passing through the intersection at the location and the passing direction of the vehicle on a display device.

A monitoring video analysis system includes a wearable camera that is held or possessed by a user, and a back end server that receives a captured video. The wearable camera records a captured video by capturing a video of a scene for each ten minutes. The back end server determines a face of a person appearing in n (n is an integer of two or more) captured videos by using a plurality of captured videos of the scene for each 10 minutes, and displays a thumbnail list UI in which the determined face of the person is registered, on a monitor.

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Fukuoka, Japan

Takeshi Wakako