Nec Corporation

Makiko Akiguchi

Hiroshi Hashimoto

Ken Hanazawa

Kan Arai

Kei Shibuya

Azusa Furukawa

Shohei Takeuchi

In a familiarity degree estimation apparatus, a first video process unit calculates a time while a hand being viewed, which is a time when a customer is viewing the hand. A second video process unit calculates a time while an item being held, which is a time when the customer is holding an item. A familiarity degree estimation unit calculates a time while the item being viewed based on the time while a hand being viewed and the time while the item being held, and estimates that the longer the time while the item being viewed, the lower the degree of familiarity of the customer with respect to the item.

Familiarity degree estimation apparatus, familiarity degree estimation method, and recording medium

A customer analysis apparatus () includes an image acquisition unit () and an image processing unit (). The image acquisition unit () acquires a first image generated by a first image capture unit () and a second image generated by a second image capture unit (). The image processing unit () processes the first image and the second image. More specifically, the image processing unit () generates product information indicating a product () taken out from a product shelf (), by processing the first image and the second image. Further, the image processing unit () generates customer attribute information of a customer taking out the product (), by processing the first image. Then, the image processing unit () causes a result storage unit () to store the product information and the customer attribute information in association with each other.

Customer analysis apparatus, customer analysis method, and non-transitory storage medium

The present invention provides a processing apparatus () including: a classification execution unit () that executes class classification, based on an inference device; a computation unit () that computes a precision of a class determined by the class classification; a processing unit () that outputs a class determined by the class classification and accepts a correct/incorrect input from an operator when the precision is less than a reference value; and a registration unit () that registers a product determined by the class classification as a purchase target when the precision is equal to or more than the reference value, and registers a product determined by a correct/incorrect input from the operator as a purchase target when the precision is less than the reference value.

Receive operator input correcting product information when precision of identification of product is less than reference value

The present invention provides a processing apparatus () including: a registration unit () that recognizes, based on image processing, product discrimination information of a product picked up from a product placing space, and registers the recognized product discrimination information in association with customer discrimination information; and a settlement unit () that executes, when it is detected, based on image processing, that a customer having picked up the product performs a predetermined action, a settlement based on a registration content resulting from the registration unit ().

Processing apparatus, processing method, and non-transitory storage medium

An RFID system of the present invention has a plurality of antennas for reading data from an RFID tag; an antenna configuration storage unit for prestoring a position of each of the plurality of antennas; a position detection unit for detecting a position of the RFID tag; and an antenna control unit for selecting one or more of the antennas that read the RFID tag, based on the position of the RFID tag detected by the position detection unit and on the position of each of the plurality of antennas stored in the antenna configuration storage unit, and for preferentially activating the selected one or more of the antennas.

Growing community of inventors

Tokyo, Japan

Makiko Akiguchi