Data analysis for workplace safety: mems-based sensor application
Workplace Safety is often overlooked due to the nature of dispensable workplace labor in many developing countries. Organization profitability and productibility are prioritized and the hazardous working environment for the foreign workers further exacerbates their standard of living. This...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177512 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Workplace Safety is often overlooked due to the nature of dispensable workplace labor in
many developing countries. Organization profitability and productibility are prioritized and
the hazardous working environment for the foreign workers further exacerbates their standard
of living.
This report focuses on enhancing workplace safety within Singapore, aligning with the
Singaporean government recent initiatives in fostering safer workplace environment. In
Singapore, the most concerning workplace safety hazard is fall from heights as identified in
Workplace Safety and Health Report 2023. However, there is a lack of comprehensive data
on the specific hazards which are contributing to these reported numbers. Therefore, data
collection methods are investigated to support this research gaps. The proposed engineering
solution involves utilizing the various Micro-Electrical Mechanical System (MEMS) based
sensors and data analytical concepts to determine the most efficient sensor. |
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