US Patent Application 18233623. ARTICLE DEDUCTION APPARATUS, ARTICLE DEDUCTION METHOD, AND PROGRAM simplified abstract
Contents
ARTICLE DEDUCTION APPARATUS, ARTICLE DEDUCTION METHOD, AND PROGRAM
Organization Name
Inventor(s)
Motoyuki Nakamura of Tokyo (JP)
ARTICLE DEDUCTION APPARATUS, ARTICLE DEDUCTION METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18233623 titled 'ARTICLE DEDUCTION APPARATUS, ARTICLE DEDUCTION METHOD, AND PROGRAM
Simplified Explanation
The patent application describes an apparatus that deduces information about articles based on weight change data and movement data.
- The apparatus includes an acquisition unit and an output unit.
- The acquisition unit acquires data based on changes in weight detected by a weight sensor.
- The acquisition unit also acquires data indicating the movement of a person's hand in a shelf-front space.
- The output unit uses the weight change data and movement data to determine which article the person is taking out from the shelf.
- The apparatus provides article determination information to assist in the retrieval of articles.
Original Abstract Submitted
An article information deduction apparatus () includes an acquisition unit () and an output unit (). The acquisition unit () acquires data based on a change in a detected value of a weight sensor () (hereinafter described as weight change data). For example, the acquisition unit () determines data acquired by chronologically arranging data acquired from the weight sensor () as weight change data. Further, the acquisition unit () acquires data indicating a movement of a hand of a person positioned in a shelf-front space (hereinafter described as movement data). For example, the acquisition unit () acquires data acquired by chronologically arranging data output from a depth sensor () to the article information deduction apparatus () as movement data. The output unit () outputs article determination information of the article deduced to be taken out by the hand of the person positioned in the shelf-front space, by using the weight change data and the movement data.