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Leveraging AI For Project Lifecycle Tracking


What if your team could leverage artificial intelligence (AI) to travel to an earlier phase of a project, such as a relocation of a primary crusher, or adding a new production line?

New technology aims to give workers a photographic memory, which enables them to visually look at the first week, month or year of a project, as if they were there in-person all over again.

Here’s how it works: An aggregates professional would attach a camera to a standard hard hat, which would then allow him or her to record video of everything they see on a project. This is then uploaded and combined into video frames.

This is where the artificial intelligence technology comes into play, as it can fill in the gaps. As one example, OpenSpace allows workers the ability to move backward, and forward again, in time to create a visual record.

With this kind of technology, aggregates operations can better manage request for information updates and promote security inspections. The team will also be able to see a photographic view at any point of the project.

One of the challenges with artificial intelligence is a certain critical mass of data is needed to train an AI algorithm. According to McKinsey, AI’s adoption in the aggregates, engineering and construction sector will be modest, but it does predict that AI will play a more significant role in construction in the coming years.

Some of the areas where AI can be used in construction include:

  • Optimizing the project schedule.
  • Image recognition.
  • Enhanced analytics platforms that can collect data from sensors.

Going forward, artificial intelligence, in combination with machine learning and robotics, has the potential to change the way construction companies do business at the jobsite.