CAMERA PLATFORM AND OBJECT INVENTORY CONTROL

• Main Authors: WANG QIAOSONG, ZHENG SHUAI, PIRAMUTHU ROBINSON, YANG FAN, TULSI JAPJIT S, KIAPOUR MOHAMMADHADI
• Format: Patent
• Language: English; Korean
• Published: 13.11.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PICTORIAL COMMUNICATION, e.g. TELEVISION; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

카메라 플랫폼 및 객체 재고 제어 기법들이 설명된다. 구현예에서, 디지털 이미지들의 라이브 피드는 컴퓨팅 디바이스에 의해 사용자 인터페이스에서 출력된다. 사용자 선택은 디지털 이미지들 중의 적어도 하나의 사용자 인터페이스와의 상호작용을 통해 수신된다. 적어도 하나의 디지털 이미지 내에 포함된 객체는 머신 러닝을 이용하여 인식된다. 인식된 객체에 속하는 메타데이터가 그 다음으로 획득된다. 증강 현실 디지털 컨텐츠는 획득된 메타데이터에 적어도 부분적으로 기초하여 생성된다. 증강 현실 디지털 컨텐츠는 객체와 연관된 바와 같은 디지털 이미지들의 라이브 피드의 일부로서 디스플레이된다. Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.