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Home Membership Identification System

A technology for identifying systems and members, applied in biometric identification, character and pattern recognition, instruments, etc., can solve problems such as high frequency of family members changing clothes, restricting pedestrians, and large identifiable features, etc., to achieve high inspection rate, Strong practicability and the effect of improving search speed

Pending Publication Date: 2019-03-26
SHANGHAI JIAO TONG UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

At the same time, since clothes account for a large proportion of pedestrians' identifiable features, clothing in this task has a great influence on the recognition effect. When pedestrians change clothes, the original collected information will not be able to correctly complete the recognition; due to the long-term use of smart homes The frequency of family members changing clothes is high, so this shortcoming will seriously limit the use of pedestrian re-identification technology in smart homes

Method used

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Embodiment Construction

[0035] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] Such as figure 1 As shown, the present invention provides a family member identification system, including: a data input module 100, a face recognition module 200, a member data collection module 300, a family member identification module 400, and a member data update module 500, wherein,

[0037] The data input module 100 includes several camera acquisition modules and a raspberry pie transmission module connected with the camera acquisition module, for collecting indoor video and realizing distributed video stream transmission, avoiding the USB interface in the host computer when using the USB camera Insufficient, but also used for distributed calls to other smart devices;

[0038] Here, the Raspberry Pi is designed for ...

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Abstract

A household member identification system is provided. A member identity corresponding to member information collection is obtained by face recognition, The method can realize family member recognitionby using pedestrian detection and pedestrian re-recognition technology, and can realize multi-person recognition in a video frame. The algorithm can extract the features of all the people to be identified in the picture only once, and the searching speed is fast. In addition, the information database of family members can be updated in time so as not to be unrecognizable due to the change of clothes, and the actual demand of smart home can be met; At that same time, the method only require a plurality of ordinary USB cameras, and the device is simple, low in cost and strong in practicability.

Description

technical field [0001] The invention relates to a household member identification system. Background technique [0002] In smart home applications, family member identification is a very critical technology. Through the identification of members, it can realize the analysis of family members' behavior habits, the positioning of specific people, and the assistance of stranger intrusion alarms. The "people-oriented" thinking in the application can better understand the needs of the head of the household and improve the functions of the smart home. [0003] In the past, member identification in smart homes was mainly done through face recognition. However, since face recognition is a passive recognition method, the face information of the person to be recognized needs to be collected, and the person cannot ensure that the face is always facing the camera during activities, resulting in a high rate of misdetection. At the same time, face recognition technology needs to extract...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/166G06V40/172G06V40/10G06F18/24
Inventor 钱久超陈俊泓朱肖光戴俊宇刘佩林应忍冬耿相铭文飞
Owner SHANGHAI JIAO TONG UNIV
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