Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway
With the increase in the number of surveillance cameras being deployed globally, an important topic is person re-identification (Re-ID), which identifies the same person from multiple different angles and different directions across multiple cameras. However, because of the privacy issues involved i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/10/18/2264 |
| _version_ | 1797519563471978496 |
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| author | Ching-Han Chen Chao-Tsu Liu |
| author_facet | Ching-Han Chen Chao-Tsu Liu |
| author_sort | Ching-Han Chen |
| collection | DOAJ |
| description | With the increase in the number of surveillance cameras being deployed globally, an important topic is person re-identification (Re-ID), which identifies the same person from multiple different angles and different directions across multiple cameras. However, because of the privacy issues involved in the identification of individuals, Re-ID systems cannot send the image data to cloud, and these data must be processed on edge servers. However, there has been a significant increase in computing resources owing to the processing of artificial intelligence (AI) algorithms through edge computing (EC). Consequently, the traditional AI Internet of Things (AIoT) architecture is no longer sufficient. In this study, we designed a Re-ID system at the AIoT EC gateway, which utilizes a microservice to perform Re-ID calculations on EC and balances efficiency with privacy protection. Experimental results indicate that this architecture can provide sufficient Re-ID computing resources to allow the system to scale up or down flexibly to support different scenarios and demand loads. |
| first_indexed | 2024-03-10T07:44:32Z |
| format | Article |
| id | doaj.art-7e9172de5535404592376a9644fb4686 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T07:44:32Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-7e9172de5535404592376a9644fb46862023-11-22T12:48:23ZengMDPI AGElectronics2079-92922021-09-011018226410.3390/electronics10182264Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing GatewayChing-Han Chen0Chao-Tsu Liu1Department of Computer Science and Information Engineering, National Central University, Taoyuan 32001, TaiwanDepartment of Computer Science and Information Engineering, National Central University, Taoyuan 32001, TaiwanWith the increase in the number of surveillance cameras being deployed globally, an important topic is person re-identification (Re-ID), which identifies the same person from multiple different angles and different directions across multiple cameras. However, because of the privacy issues involved in the identification of individuals, Re-ID systems cannot send the image data to cloud, and these data must be processed on edge servers. However, there has been a significant increase in computing resources owing to the processing of artificial intelligence (AI) algorithms through edge computing (EC). Consequently, the traditional AI Internet of Things (AIoT) architecture is no longer sufficient. In this study, we designed a Re-ID system at the AIoT EC gateway, which utilizes a microservice to perform Re-ID calculations on EC and balances efficiency with privacy protection. Experimental results indicate that this architecture can provide sufficient Re-ID computing resources to allow the system to scale up or down flexibly to support different scenarios and demand loads.https://www.mdpi.com/2079-9292/10/18/2264AIoTartificial intelligencecontaineredge computingInternet of ThingsKubernetes |
| spellingShingle | Ching-Han Chen Chao-Tsu Liu Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway Electronics AIoT artificial intelligence container edge computing Internet of Things Kubernetes |
| title | Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway |
| title_full | Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway |
| title_fullStr | Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway |
| title_full_unstemmed | Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway |
| title_short | Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway |
| title_sort | person re identification microservice over artificial intelligence internet of things edge computing gateway |
| topic | AIoT artificial intelligence container edge computing Internet of Things Kubernetes |
| url | https://www.mdpi.com/2079-9292/10/18/2264 |
| work_keys_str_mv | AT chinghanchen personreidentificationmicroserviceoverartificialintelligenceinternetofthingsedgecomputinggateway AT chaotsuliu personreidentificationmicroserviceoverartificialintelligenceinternetofthingsedgecomputinggateway |