Data analysis for workplace safety: mems-based sensor application

• Main Author: Tan, Zu An
• Other Authors: Li King Ho, Holden
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Data analysis
• Online Access: https://hdl.handle.net/10356/177512
• Institution: Nanyang Technological University

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.