Toshiba Tec Kabushiki Kaisha

Mitsubishi Electric Corporation

Nec Corporation

Nec Electronics Corporation

Mitsubishi Denki Kabushiki Kaisha

Japan Aviation Electronics Industry, Limited

Sinka Corporation

Atsushi Okamura

Takayuki Matsuzuka

Toshio Wakayama

Kenichiro Anjo

Kazuya Yamamoto

Naoki Kosaka

Kenichiro Chomei

Rokuzou Hara

Noriyuki Fukui

Yoshihito Hirano

Shumpei Kameyama

Masayoshi Ito

Yoshinobu Sasaki

Toshiyuki Ando

Keijiro Take

Koichi Kai

Masashi Mitsumoto

Kenichi Horiguchi

Takahiro Saitou

Yuta Sasaki

Takashi Sekiguchi

Hiroshi Sakamaki

Katsuya Kato

Shinichi Miwa

Noriyoshi Hara

Shohei Imai

Kimio Asaka

Takahide Kubota

Takayuki Inaba

Masachika Kurata

Toshiyuki Hirai

Xiaozhou Wang

Eri Fukuda

Shigeru Fujiwara

Connector

A detection device for detecting a fraud behavior of a customer at a point-of-sale (POS) terminal in a store, including a first interface circuit configured to receive a first image of the customer from a camera, a second interface circuit configured to receive a second image that is displayed on the POS terminal, and a processor configured to acquire one or more first images via the first interface circuit and determine one or more behaviors of the customer based on the acquired first images, acquire one or more second images via the second interface circuit and determine, based on the acquired second images, one or more operations that have been made by the customer on the POS terminal, and determine that one of the behaviors is fraudulent based on one or more of the operations that have been made by the customer before said one of the behaviors.

Fraud behavior recognition device, control program thereof, and fraud behavior recognition method

A sales management system includes a first device including a first processor that is configured to detect a customer moving an item of merchandise in an extraction direction away from a merchandise display, a second device including a second processor that is configured to detect movement of an item of merchandise from the merchandise display and determine a movement direction thereof, and a third processor that is configured to determine whether the extraction and movement directions are substantially identical when the first processor detects the customer moving an item away from the merchandise display and the second processor detects movement of an item from the merchandise display at substantially the same time, and determine the item as a first merchandise to be purchased by the customer when the extraction and movement directions are determined to be the substantially identical.

Sales management system and sales management method

A camera abnormality detecting device according to an embodiment includes an acquiring section and a notifying section. The acquiring section acquires, from an image photographed by a camera provided in a conveyance body to be capable of photographing an inside of a basket placed on a basket receiving section of the conveyance body, an image of a region where an upper edge of the basket is surmised to be reflected. The notifying section notifies, based on the image acquired by the acquiring section, whether an angle of view of the camera is blocked.

Camera abnormality detecting device and program

According to an embodiment, a store management system includes a store entry management device and a sales management device. The store entry management device reads identification data, of a shopper, for using the electronic receipt service from an information terminal of a shopper who wants to enter the store. The sales management device causes the store entry management device to permit the shopper to enter the store when the settlement data can be acquired based on the read shopper identification data.

Store management system, electronic receipt system, and store management method

An object detection system includes a first detection device configured to control a first camera to acquire a first image of a container and detect an object in the container based on the first image, and a second detection device configured to control a second camera to acquire a second image of the container. The second image is a more detailed or accurate image than the first image for detecting the object in the container based on the second image. The first detection device is further configured to train a learning model for detecting the object in the container based on the first image using detection results from the second detection device as an indication of the correct result, and then use the trained learning model for detecting the object in the container based on the first image.

Object detection system, object detection device, and object detection method

According to one embodiment, a feature amount management apparatus includes a data generation unit, an ID generation unit, a storage unit, and a deletion unit. The data generation unit generates, from an image, feature amount data indicating a feature amount of biometric information of a person. The ID generation unit generates identification information including expiration date information used for determining an expiration date of the feature amount data. The storage unit stores the feature amount data in correlation with the identification information. The deletion unit deletes the feature amount data when the feature amount data pass the expiration date.

Feature amount management apparatus and method

In accordance with an embodiment, a data processing apparatus includes a memory configured to store a determination table, a camera configured to image a commodity package, and a processor. The processor is configured to extract an area having a predetermined shape from the imaged commodity package, recognize characters in the extracted area; determine whether the recognized characters meet a criterion described in the determination table, and output the recognized characters to a display or a printer connected to the data processing apparatus when the recognized characters meet the criterion.

Data processing apparatus and method, and non-transitory computer readable medium

In accordance with an embodiment, a weighing apparatus includes a plurality of weighing scales and a processor. Each of the plurality of weighing scales measures weight of the object to be weighed which is placed on the plurality of weighing scales. The processor calculates net weight of the object to be weighed on the basis of the weight measured by each of the plurality of weighing scales.

Weighing apparatus that determines container of object and net weight of the object using weight of the container

Provided is a beam transmission/reception method, which is executed in a wireless communication system in which a terminal and a base station are configured to use a beam to communicate to and from each other. The beam transmission/reception method includes a first step of setting, by the base station, when receiving a random access signal transmitted by the terminal as a connection request, a beam direction group at a time of reception of the random access signal by adding a further outer beam direction to beam directions used at a time of transmission of a notification signal for measuring a signal before the reception.

Beam transmission/reception method, base station, terminal, and wireless communication system

A thermal printer according to this embodiment forms a stereoscopic image by applying heat to a printing medium having a surface evenly coated with foaming capsules which foam when heated. More specifically, the thermal printer includes a conveyance guide which is formed into a convex shape whose apex is an image formation position where heat is applied to the printing medium, and regulates the position of the conveyed printing medium, and a thermal head assembly which is installed such that a thermal head distal end portion contacts with the printing medium conveyed by the conveyance roller from below the image formation position, and forms a stereoscopic image by applying heat to the printing medium.

Image formation apparatus

Growing community of inventors

Tokyo, Japan

Atsushi Okamura