Image Processing and QR Code Application Method for Construction Safety Management
Construction safety accidents occur due to a combination of factors. Even a minor accident that could have been treated as a simple injury can lead to a serious accident or death, depending on when and where it occurred. Currently, methods for tracking worker behavior to manage such construction saf...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/10/4400 |
| _version_ | 1797534364826861568 |
|---|---|
| author | Joon-Soo Kim Chang-Yong Yi Young-Jun Park |
| author_facet | Joon-Soo Kim Chang-Yong Yi Young-Jun Park |
| author_sort | Joon-Soo Kim |
| collection | DOAJ |
| description | Construction safety accidents occur due to a combination of factors. Even a minor accident that could have been treated as a simple injury can lead to a serious accident or death, depending on when and where it occurred. Currently, methods for tracking worker behavior to manage such construction safety accidents are being studied. However, applying the methods to the construction site, various additional elements (e.g., sensors, transmitters, wearing equipment, and control systems) that must be additionally installed and managed are required. The cost of installation and management of these factors increases in proportion to the size of the site and the number of targets to be managed. In addition, the application of new equipment and new rules lowers the work efficiency of workers. In this paper, the following contents are described: (1) system overview, (2) image processing-QR code-based safety management target recognition methodology, and (3) object location discrimination technique applying the geometric transformation. Finally, the proposed methodology was tested to confirm the operation in the field, and the experimental results and conclusions were described in the paper. |
| first_indexed | 2024-03-10T11:28:37Z |
| format | Article |
| id | doaj.art-4318d595c618404ca71785736e834d8e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:28:37Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4318d595c618404ca71785736e834d8e2023-11-21T19:24:35ZengMDPI AGApplied Sciences2076-34172021-05-011110440010.3390/app11104400Image Processing and QR Code Application Method for Construction Safety ManagementJoon-Soo Kim0Chang-Yong Yi1Young-Jun Park2Intelligent Construction Automation Center, Kyungpook National University, Daegu 41566, KoreaIntelligent Construction Automation Center, Kyungpook National University, Daegu 41566, KoreaIntelligent Construction Automation Center, Kyungpook National University, Daegu 41566, KoreaConstruction safety accidents occur due to a combination of factors. Even a minor accident that could have been treated as a simple injury can lead to a serious accident or death, depending on when and where it occurred. Currently, methods for tracking worker behavior to manage such construction safety accidents are being studied. However, applying the methods to the construction site, various additional elements (e.g., sensors, transmitters, wearing equipment, and control systems) that must be additionally installed and managed are required. The cost of installation and management of these factors increases in proportion to the size of the site and the number of targets to be managed. In addition, the application of new equipment and new rules lowers the work efficiency of workers. In this paper, the following contents are described: (1) system overview, (2) image processing-QR code-based safety management target recognition methodology, and (3) object location discrimination technique applying the geometric transformation. Finally, the proposed methodology was tested to confirm the operation in the field, and the experimental results and conclusions were described in the paper.https://www.mdpi.com/2076-3417/11/10/4400safety managementAI basedQR codeimage processinggeometric transformationyolo |
| spellingShingle | Joon-Soo Kim Chang-Yong Yi Young-Jun Park Image Processing and QR Code Application Method for Construction Safety Management Applied Sciences safety management AI based QR code image processing geometric transformation yolo |
| title | Image Processing and QR Code Application Method for Construction Safety Management |
| title_full | Image Processing and QR Code Application Method for Construction Safety Management |
| title_fullStr | Image Processing and QR Code Application Method for Construction Safety Management |
| title_full_unstemmed | Image Processing and QR Code Application Method for Construction Safety Management |
| title_short | Image Processing and QR Code Application Method for Construction Safety Management |
| title_sort | image processing and qr code application method for construction safety management |
| topic | safety management AI based QR code image processing geometric transformation yolo |
| url | https://www.mdpi.com/2076-3417/11/10/4400 |
| work_keys_str_mv | AT joonsookim imageprocessingandqrcodeapplicationmethodforconstructionsafetymanagement AT changyongyi imageprocessingandqrcodeapplicationmethodforconstructionsafetymanagement AT youngjunpark imageprocessingandqrcodeapplicationmethodforconstructionsafetymanagement |