AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO
This study examines how artificial intelligence (AI) can be incorporated into the Internet of Things (IoT), with a particular focus on using the NVIDIA Jetson Nano as a specialized AI platform. The aim is to boost the functional capabilities of IoT devices, allowing them to independently carry out s...
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| Format: | Article |
| Language: | English |
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Dalat University
2024-09-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
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| Online Access: | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/1262 |
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| author | Ngoc Giau Pham Nhien Loc Bui Quang Hien Tran Le Thanh Hai Tong Hong Ngoc Tran |
| author_facet | Ngoc Giau Pham Nhien Loc Bui Quang Hien Tran Le Thanh Hai Tong Hong Ngoc Tran |
| author_sort | Ngoc Giau Pham |
| collection | DOAJ |
| description | This study examines how artificial intelligence (AI) can be incorporated into the Internet of Things (IoT), with a particular focus on using the NVIDIA Jetson Nano as a specialized AI platform. The aim is to boost the functional capabilities of IoT devices, allowing them to independently carry out sophisticated data analysis and decision-making tasks to heighten their efficiency and effectiveness. The paper begins by outlining the motivation for this investigation, then proceeds with a literature review to evaluate the prospective applications, challenges, and benefits of AI in IoT environments. It explores in detail the technical attributes of the NVIDIA Jetson Nano, including its compact design, robust computing power, and the availability of software libraries that facilitate the deployment of AI models on devices with limited resources. A prototype IoT device equipped with the NVIDIA Jetson Nano was developed at Tien Giang University. This device is capable of capturing video and executing AI algorithms for real-time analysis, thereby deriving crucial data for IoT decision-making processes. The outcomes and structure of this prototype exhibit the potential for wider application, particularly in facial recognition technologies. The discussion on this subject extends beyond the confines of this document, indicating ongoing developments and enhancements.
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| format | Article |
| id | doaj-art-de399e99cb544b678b991571509db69a |
| institution | Kabale University |
| issn | 0866-787X |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Dalat University |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Đà Lạt |
| spelling | doaj-art-de399e99cb544b678b991571509db69a2025-02-12T01:00:45ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X2024-09-0114310.37569/DalatUniversity.14.3.1262(2024)AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANONgoc Giau Pham0https://orcid.org/0009-0007-9334-3641Nhien Loc Bui1https://orcid.org/0009-0004-4358-9449Quang Hien Tran2https://orcid.org/0009-0004-9593-4494Le Thanh Hai Tong3https://orcid.org/0009-0000-9771-9553Hong Ngoc Tran4https://orcid.org/0000-0001-6369-5338Tra Vinh UniversityVietnamese-German UniversityTien Giang UniversityTien Giang UniversityVietnamese-German UniversityThis study examines how artificial intelligence (AI) can be incorporated into the Internet of Things (IoT), with a particular focus on using the NVIDIA Jetson Nano as a specialized AI platform. The aim is to boost the functional capabilities of IoT devices, allowing them to independently carry out sophisticated data analysis and decision-making tasks to heighten their efficiency and effectiveness. The paper begins by outlining the motivation for this investigation, then proceeds with a literature review to evaluate the prospective applications, challenges, and benefits of AI in IoT environments. It explores in detail the technical attributes of the NVIDIA Jetson Nano, including its compact design, robust computing power, and the availability of software libraries that facilitate the deployment of AI models on devices with limited resources. A prototype IoT device equipped with the NVIDIA Jetson Nano was developed at Tien Giang University. This device is capable of capturing video and executing AI algorithms for real-time analysis, thereby deriving crucial data for IoT decision-making processes. The outcomes and structure of this prototype exhibit the potential for wider application, particularly in facial recognition technologies. The discussion on this subject extends beyond the confines of this document, indicating ongoing developments and enhancements. https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/1262AIAIoTFace detectionFace recognitionJetson Nano. |
| spellingShingle | Ngoc Giau Pham Nhien Loc Bui Quang Hien Tran Le Thanh Hai Tong Hong Ngoc Tran AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO Tạp chí Khoa học Đại học Đà Lạt AI AIoT Face detection Face recognition Jetson Nano. |
| title | AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO |
| title_full | AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO |
| title_fullStr | AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO |
| title_full_unstemmed | AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO |
| title_short | AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO |
| title_sort | effective approach to face recognition with artificial intelligence and the internet of things using nvidia jetson nano |
| topic | AI AIoT Face detection Face recognition Jetson Nano. |
| url | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/1262 |
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