The project will focus on developing productivity-driven insights for the construction site team purely through deep-learning computer vision techniques.

CCTVs are present at almost all construction sites and are mainly used for manual monitoring of progress or to review past footage if something goes wrong. It is still a huge challenge for companies to understand their progress on a macro level as it is hard to make sense of all the information from so many different subcontractors. This results in a lack of visibility of ongoing issues at the sites that can cause delays such as a delay in concreting works due to underutilisation of the assets that will delay the progress of building that floor or a subcontractor promising that he will send 10 workers to work on this area but in reality only sends 4. It's information like these that we will be focused on tracking through the already existing CCTVs at the sites to give the project team meaningful insights and information to understand progress and identify potential risks early on.