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Patent Agency Ranking
公开(公告)号：US20220351219A1
公开(公告)日：2022-11-03
申请号：US17641328
申请日：2020-08-26
Inventor： Keisuke SUETSUGI , Masataka SUGIURA
Abstract: Provided is a system which enables a business operator that operates a physical store to identify each customer and acquire related store use information, without any need for management of customers' face images at each store. A store use information distribution device includes a processor and an action history storage for storing action history information about customers' actions in the store. The processor is configured to: acquire face images of customers; generate face image IDs for identifying the face images of the customers; transmit the IDs to a business operator device; perform a customer segmentation operation on action history information based on segmentation criteria related to customers' store usage, to thereby assign the customers to segments; and transmit a set of face IDs of customers assigned to certain segments to the business operator device as the store use information.
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2.发明申请公开(公告)号：US20190095757A1
公开(公告)日：2019-03-28
申请号：US16097968
申请日：2017-12-11
Inventor： Masataka SUGIURA , Yuichi MATSUMOTO
Abstract: Learned model providing system has a configuration including consent acquisition device that acquires use consent that an acquired image of visitor is to be used for generating a learned model from visitor, a plurality of cameras that image visitor, learned model generating device that generates the learned model by machine learning based on a captured image imaged by camera, server device that saves the learned model generated by learned model generating device, user side device that receives the learned model from server device, camera, and member database.
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公开(公告)号：US20190147361A1
公开(公告)日：2019-05-16
申请号：US16098023
申请日：2017-12-11
Inventor： Yuichi MATSUMOTO , Masataka SUGIURA
Abstract: Learned model providing system is configured of learned model providing device in which a plurality of learned models are saved in advance and user side device that receives the learned model from learned model providing device. Learned model providing device can select the learned model to be provided from a plurality of learned models saved in learned model database to user side device based on the performance calculated using test data acquired from user side device. Accordingly, it is possible to select and provide the learned model optimal for use by user side device from the plurality of learned models saved in database in advance.
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公开(公告)号：US20180114182A1
公开(公告)日：2018-04-26
申请号：US15572376
申请日：2016-03-25
Inventor： Hironori AKAMATSU , Masataka SUGIURA
IPC: G06Q10/08 , G08B21/18 , G01G19/415
CPC classification number: G06Q10/087 , B65G1/137 , G01G19/415 , G01G19/42 , G06Q10/08 , G08B21/182
Abstract: Out-of-stock commodity is flexibly managed according to a change in shelf assignment. Each of sensor units (101-1 to 101-N) is configured by at least one pressure sensor and outputs an analog signal corresponding to a weight of a commodity detected by at least one pressure sensor. Sensor output unit (103) converts an analog signal output from each of a plurality of sensor units into a digital signal indicating whether or not the number of commodities in regions where respective sensor units are installed is equal to or less than a predetermined number. Combination setter (104) sets one or more groups obtained by grouping a plurality of sensor units. Output integrator (105) integrates a digital signal for each group. Out-of-stock commodity manager (106) manages an out-of-stock commodity state of commodities in each group, based on an integrated digital signal.
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公开(公告)号：US20190147360A1
公开(公告)日：2019-05-16
申请号：US16097998
申请日：2017-12-11
Inventor： Yuichi MATSUMOTO , Masataka SUGIURA
Abstract: Learned model providing system is configured of learned model providing device in which a plurality of learned models are saved in advance and user side device that receive the learned model from learned model providing device. Since learned model providing device can select a learned model to be provided to user side device from the plurality of learned models saved in learned model database based on needs information acquired from user side device, it is possible to select the learned model suitable for the user side needs.
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