It was all about data, and a little bit about safety, at last week’s HxGN LIVE, Hexagon’s global digital solutions conference. Let’s me share a few examples with you to give you a glimpse into how it envisions automating data processing in construction.
One of the big new announcements is the Leica DSX, which is a portable GPR (ground penetrating radar) solution for underground utility detection. This will allow construction professionals to detect, map, and visualize underground utilities.
What makes this announcement so unique is its software, DXplore, which translates correlated signals into results. Here users do not need to have expertise interpreting raw radar data, rather a smart algorithm generates digital utility maps within minutes, displaying results while users are still in the field.
In this case, it’s all about the data, and a little bit about the AI (artificial intelligence) and the machine learning that is working behind the scenes, right?
Hexagon’s focus on safety also took center stage at the conference last week. There were big announcements for public safety (a new OnCall portfolio of products), as well as well as some announcements that could potentially help construction workers.
One announcement caught my eye, especially considering we recently recognized the 2019 Constructech Women Heavy Equipment Operators.
Hexagon introduced a solution that can detect fatigue and distraction in operators of light vehicles. HxGN MineProtect Operator Alertness System Light Vehicle continuously monitors operator alertness inside the cab. This builds on the company’s previous alertness system for heavy vehicles.
Here’s how it works: The solution’s in-cab device is installed and scans the operator’s face to detect any signs of fatigue or distraction, such as microsleep. A machine-learning algorithm leverages this facial-feature analysis data to determine if an alert should be triggered. The in-cab hardware is always connected, and data from the vehicle may be transmitted to the cloud or on-site monitoring center.
Again, this is an example of machine learning at work, providing real, tangible value for the construction industry. While these are just a few announcements from the show, it is apparent that the company has its eye on leveraging AI, machine learning, and data to help create a safer construction jobsite.
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