A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer
In Indonesia, assistance for small enterprises has grown in recent years. However, a monitoring system is required to support these enterprises and ensure their expansion and survival. Using a single-board computer and the YOLO algorithm, we construct a visitor tracking system in this study to meet...
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| Format: | Article |
| Language: | English |
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Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2023-06-01
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| Series: | Journal of Applied Engineering and Technological Science |
| Subjects: | |
| Online Access: | http://www.yrpipku.com/journal/index.php/jaets/article/view/1872 |
| _version_ | 1827860468683767808 |
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| author | Tati Erlina Muhammad Fikri |
| author_facet | Tati Erlina Muhammad Fikri |
| author_sort | Tati Erlina |
| collection | DOAJ |
| description |
In Indonesia, assistance for small enterprises has grown in recent years. However, a monitoring system is required to support these enterprises and ensure their expansion and survival. Using a single-board computer and the YOLO algorithm, we construct a visitor tracking system in this study to meet this demand. To capture objects and categorize them as human or non-human, we employ the YOLOv4-tiny model, which has a mAP of 89.21%. Human visitors are welcomed with the use of a speaker. A telegraph bot that notifies the owner of the retail establishment of the visitor's presence also makes the presumption as to whether the visitor is a potential customer or an intruder. Our research demonstrates that the created monitoring system effectively recognizes and categorizes visits, enabling retail store owners to make defensible choices regarding visitor interaction and security precautions. Small business owners can save personnel costs while still maintaining high levels of client engagement and security. The theoretical application of this research is the creation of a visitor monitoring system that is affordable and may be used in small enterprises, particularly in Indonesia. The practical ramifications of our research include the possibility for small retail business owners to boost profits by lowering labor expenses while raising customer satisfaction and security. The importance of our study lies in its role in creating a monitoring system that will support small enterprises and increase their sustainability.
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| first_indexed | 2024-03-12T13:24:24Z |
| format | Article |
| id | doaj.art-83c7a86510064977972a08ae4eccdb9a |
| institution | Directory Open Access Journal |
| issn | 2715-6087 2715-6079 |
| language | English |
| last_indexed | 2024-03-12T13:24:24Z |
| publishDate | 2023-06-01 |
| publisher | Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) |
| record_format | Article |
| series | Journal of Applied Engineering and Technological Science |
| spelling | doaj.art-83c7a86510064977972a08ae4eccdb9a2023-08-25T11:29:26ZengYayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)Journal of Applied Engineering and Technological Science2715-60872715-60792023-06-014210.37385/jaets.v4i2.1872A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board ComputerTati Erlina0Muhammad Fikri1Universitas AndalasUniversitas Andalas In Indonesia, assistance for small enterprises has grown in recent years. However, a monitoring system is required to support these enterprises and ensure their expansion and survival. Using a single-board computer and the YOLO algorithm, we construct a visitor tracking system in this study to meet this demand. To capture objects and categorize them as human or non-human, we employ the YOLOv4-tiny model, which has a mAP of 89.21%. Human visitors are welcomed with the use of a speaker. A telegraph bot that notifies the owner of the retail establishment of the visitor's presence also makes the presumption as to whether the visitor is a potential customer or an intruder. Our research demonstrates that the created monitoring system effectively recognizes and categorizes visits, enabling retail store owners to make defensible choices regarding visitor interaction and security precautions. Small business owners can save personnel costs while still maintaining high levels of client engagement and security. The theoretical application of this research is the creation of a visitor monitoring system that is affordable and may be used in small enterprises, particularly in Indonesia. The practical ramifications of our research include the possibility for small retail business owners to boost profits by lowering labor expenses while raising customer satisfaction and security. The importance of our study lies in its role in creating a monitoring system that will support small enterprises and increase their sustainability. http://www.yrpipku.com/journal/index.php/jaets/article/view/1872Monitoring SystemSmall Retail StoreRaspberry PiYOLO |
| spellingShingle | Tati Erlina Muhammad Fikri A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer Journal of Applied Engineering and Technological Science Monitoring System Small Retail Store Raspberry Pi YOLO |
| title | A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer |
| title_full | A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer |
| title_fullStr | A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer |
| title_full_unstemmed | A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer |
| title_short | A YOLO Algorithm-based Visitor Detection System for Small Retail Stores using Single Board Computer |
| title_sort | yolo algorithm based visitor detection system for small retail stores using single board computer |
| topic | Monitoring System Small Retail Store Raspberry Pi YOLO |
| url | http://www.yrpipku.com/journal/index.php/jaets/article/view/1872 |
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