公开(公告)号：US20210295543A1

公开(公告)日：2021-09-23

申请号：US16827468

申请日：2020-03-23

Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.

Inventor： Xibeijia GUAN ,  Chandra Suwandi WIJAYA ,  Vasileios VONIKAKIS ,  Ariel BECK

IPC: G06T7/33 ,  G06T7/00

Abstract: The present subject matter refers a method for training image-alignment procedures in a computing environment. The method comprises communicating one or more images of an object to a user and receiving a plurality of user-selected zones within said one or more through a user-interface. An augmented data-set is generated based on said one or more images comprising the user-selected zones, wherein such augmented data set comprises a plurality of additional images defining variants of said one or more communicated images. Thereafter, a machine-learning based image alignment is trained based on at-least one of the augmented data set and the communicated images.

公开(公告)号：US20200240829A1

公开(公告)日：2020-07-30

申请号：US16257807

申请日：2019-01-25

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： James Juzheng ZHANG ,  Vasileios VONIKAKIS ,  Ariel BECK ,  Chandra Suwandi WIJAYA

IPC: G01G19/414 ,  A47F9/04 ,  G06K9/00

Abstract: The present disclosure relates to smart weighing scale and methods related thereto. According to a method, at least one image corresponding to each of one or more grocery items resting on a pressure sensing platform of the smart weighing scale is captured. Further, at least a range profile and a range-azimuth signature corresponding to each of the one or more grocery items are obtained from a radar. Further, each of the one or more grocery items is automatically identified based on the at least one image, the range profile, and the range-azimuth signature corresponding to the said grocery item.

公开(公告)号：US20190303967A1

公开(公告)日：2019-10-03

申请号：US15941144

申请日：2018-03-30

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Chandra Suwandi WIJAYA

IPC: G06Q30/02 ,  H04L29/08 ,  G06F21/60

Abstract: A system that utilizes data from use of a handheld device such as a smart phone to generate an encrypted profile of the user is described. Data can be collected from use of the camera, microphone, accelerometer, GPS and/or software applications. An algorithm can generate a digital profile card that includes characteristics of the user such as emotion, habit and personality. The profile can be shared with external devices and media platforms for targeted advertisements. The profile can also be shared with IOT devices and vendors.