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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.14444 |
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| _version_ | 1866929600190218240 |
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| author | Yaghoubi, Hamidreza Randhawa, Navtaj Ivkić, Igor |
| author_facet | Yaghoubi, Hamidreza Randhawa, Navtaj Ivkić, Igor |
| contents | Traditional access control systems, such as key cards, PIN pads, and physical keys, face challenges in scalability, security, and user experience in today's digital world. We present a cloud-based entry system using Raspberry Pi hardware and Amazon Web Services (AWS) technologies like Lambda, Simple Storage Service (S3), and Rekognition. This solution (AWSecure Entry System) enhances security, streamlines authentication, and increases operational efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_14444 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Unlocking the Future: A Cloud-Based Artificial Intelligence Access Control System Yaghoubi, Hamidreza Randhawa, Navtaj Ivkić, Igor Cryptography and Security Traditional access control systems, such as key cards, PIN pads, and physical keys, face challenges in scalability, security, and user experience in today's digital world. We present a cloud-based entry system using Raspberry Pi hardware and Amazon Web Services (AWS) technologies like Lambda, Simple Storage Service (S3), and Rekognition. This solution (AWSecure Entry System) enhances security, streamlines authentication, and increases operational efficiency. |
| title | Unlocking the Future: A Cloud-Based Artificial Intelligence Access Control System |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2411.14444 |