AMC Bridge is working on a prototype web-based technology that applies machine learning to identify workers that do not wear hard hats on a construction site.
AMC Bridge is working on a prototype web-based technology that applies machine learning to identify workers that do not wear hard hats on a construction site.
The AEC industry has often lagged behind manufacturing and process industries in implementing 3D design and other digital technologies, but digital twin technology may be gaining traction in construction at a brisker pace than other technologies. AMC Bridge President Igor Tsinman shared his vision of the digital twins in the AEC industry.
The latest webinar hosted by AMC Bridge saw a panel of experts explore the role of some simulation technology in the accurate modelling of products, systems and processes.
Metal additive manufacturing (AM) opens up a lot of opportunities for manufacturing capability improvement. At the same time, more and more challenges occur on the way to reaching material and cost efficiency, design flexibility, and better performance. Keeping pace with the latest technology advancements, AMC Bridge successfully applied its vast expertise in CAD interoperability development and extensive AM domain knowledge to help Desktop Metal unlock the full potential of their Live Parts™ technology.
Nowadays, digital twin technology is considered a powerful toolset for modeling scenarios, identifying issues before they happen, and making better decisions that improve the overall client experience. Still, many stakeholders cannot achieve its full potential and are stuck in their legacy methods and approaches on the route to adopt it. As a result, the value of the digital twin concept may be perceived differently depending on the environment.
The technology helps visualize and mitigate materials and workforce shortages before they choke a project's progress.