How might we explore and integrate new technologies and behavioural analytics solutions to enhance existing protocols and improve the safety of workers whilst they perform works at height, including external building facade cleaning?
Background/Context
Capitaland has an extensive presence in India, operating multiple business parks, warehouses and data centres across the country.
They have several Safety Management Systems (SMS) in various facilities and development sites. These systems have been in place for the past five years to achieve zero fatalities and prevent serious injuries at their worksites.
However, as Capitaland expands its real estate portfolio, there has been a crucial need to build on these existing systems to shift from a reactionary approach to a more stable and scalable model that can be applied to all their pre-existing and upcoming facilities, through the adoption of innovation and automation.
The main cause for injuries and death in India is falls from height. Despite sufficient personal protective equipment and safety protocols in place, there are challenges in fostering a culture of safety amongst workers. Some of the current safety protocols include “Kaizen” initiatives, incentives for hazard identification, safety promotional activities, online work permits, and online training modules.
Facade cleaning is an area of interest. At present, operations are carried out using two methods:
- “Spiderman”, which due to building designs and other external factors, is the primary method used by Capitaland for facade cleaning
- Cradle or gondola
Objective
Capitaland wants to develop a solution to improve safety for work-at-height, utilising existing technologies to protect workers and prevent fatal injuries. Proposed solutions could also utilise behavioural science to drive behavioural change and embed a safety-first mindset.
Solutions
The solution should consider the following features:
- The reduction or elimination of the need of a human operator in current protocols;
- The application of computer vision technology, video analytics, and drone-based monitoring;
- Video analytics to track and understand operator behaviour; and/or
- The application of behavioural analytics to educate and train operators.
- For a facade-cleaning solution, consider that Capitaland’s facilities have a ratio of 60% flat and simple surface structures to 40% complex surface structures. Being able to cater to complex surface structures is a big plus.
Solutions that mitigate the risk of injuries/death from the above methods are welcomed.
Reward
- Successful company will conduct a pilot project with Capitaland spanning 3 to 6 months to validate the solution and immediately enter into a commercial deployment after incorporating all the learnings from the pilot phase.
- The pilot project will be supported by a SGD20,000 grant from Enterprise Singapore and close guidance from the Capitaland team.
