The Workplace Safety and Health (WSH) Act defines the responsibilities for each stakeholder group, such as employers, occupiers, employees and self-employed, who have it within their control to ensure safety at the workplace. It imposes higher penalties for non-compliance and risky behaviour. When an accident occurs, it can result in serious injuries or even death. As a consequence, the PTW is a very crucial process used in investigations. Any breach in administering it can lead to heavy fines and jail terms such as in this case.

Although PTW systems are commonplace, they are mainly manual paperwork and even if digitised, do not take into consideration the many various factors around the job site that can greatly impact the outcome of any assessed risk. Hence, Magicsoft Asia has decided to enhance this requirement with the use of Industry 4.0 technologies like video analytics, IoT sensors and artificial intelligence. This will allow stakeholders to continuously monitor all types of work to assist safety personnel in enforcing WSH practices.

Through the use of timely alerts, breaches in environmental or safety parameters such as excessive noise or the removal of helmets when work is in progress, allow supervisors to act quickly before dire consequences can occur. This is in addition to improving existing risk controls with the use of smart tags for tracking people and assets. And with further enhancements through the use of artificial intelligence via Google’s Tensorflow 2.0, we aim to develop useful machine learning models in risk assessment for the construction industry.