An improved automated electronic sensor system with IOT
An existing automated electronic sensor system for surface roughness profiling is improved and renamed “ProSight Surface Profiler”. It is aimed to integrate a newly developed automated surface roughness data analysis programme that connects with the prototype surface profiler. The application is man...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2022
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| Online Access: | http://eprints.utar.edu.my/4829/ http://eprints.utar.edu.my/4829/1/fyp_ES_OCWY_2022.pdf |
| _version_ | 1848886253832896512 |
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| author | Ong, Crement Wen Yao |
| author_facet | Ong, Crement Wen Yao |
| author_sort | Ong, Crement Wen Yao |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | An existing automated electronic sensor system for surface roughness profiling is improved and renamed “ProSight Surface Profiler”. It is aimed to integrate a newly developed automated surface roughness data analysis programme that connects with the prototype surface profiler. The application is managed able to automate the output
of surface roughness parameters, including RMS and autocorrelation length. The software supports real-time data analysis. The software can merge effortlessly with the hardware. The resulting graph is flexible, allowing the user to examine it from any angle desired. Moreover, the user can convert the graph into an image with a single
click. The software installation is straightforward, with an executable link. The Blynk app is used to operate the Raspberry Pi's GPIO remotely. The data is uploaded automatically to the cloud storage without the need to extract the data using a cable. With these two functionalities, an Internet of Things-integrated contactless machine is
developed. The ProSight Surface Profiler application is user-friendly, fast, and effortlessly controlled for surface roughness analysis. |
| first_indexed | 2025-11-15T19:35:34Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-4829 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:35:34Z |
| publishDate | 2022 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-48292022-12-29T14:42:47Z An improved automated electronic sensor system with IOT Ong, Crement Wen Yao T Technology (General) TH Building construction An existing automated electronic sensor system for surface roughness profiling is improved and renamed “ProSight Surface Profiler”. It is aimed to integrate a newly developed automated surface roughness data analysis programme that connects with the prototype surface profiler. The application is managed able to automate the output of surface roughness parameters, including RMS and autocorrelation length. The software supports real-time data analysis. The software can merge effortlessly with the hardware. The resulting graph is flexible, allowing the user to examine it from any angle desired. Moreover, the user can convert the graph into an image with a single click. The software installation is straightforward, with an executable link. The Blynk app is used to operate the Raspberry Pi's GPIO remotely. The data is uploaded automatically to the cloud storage without the need to extract the data using a cable. With these two functionalities, an Internet of Things-integrated contactless machine is developed. The ProSight Surface Profiler application is user-friendly, fast, and effortlessly controlled for surface roughness analysis. 2022-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4829/1/fyp_ES_OCWY_2022.pdf Ong, Crement Wen Yao (2022) An improved automated electronic sensor system with IOT. Final Year Project, UTAR. http://eprints.utar.edu.my/4829/ |
| spellingShingle | T Technology (General) TH Building construction Ong, Crement Wen Yao An improved automated electronic sensor system with IOT |
| title | An improved automated electronic sensor system with IOT
|
| title_full | An improved automated electronic sensor system with IOT
|
| title_fullStr | An improved automated electronic sensor system with IOT
|
| title_full_unstemmed | An improved automated electronic sensor system with IOT
|
| title_short | An improved automated electronic sensor system with IOT
|
| title_sort | improved automated electronic sensor system with iot |
| topic | T Technology (General) TH Building construction |
| url | http://eprints.utar.edu.my/4829/ http://eprints.utar.edu.my/4829/1/fyp_ES_OCWY_2022.pdf |