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Posted by Informed Infrastructure - AMC Bridge’s AI Construction Takeoff technology demonstration aims to show what the future of construction takeoff can be. By automating the process of extracting information from the construction drawing, AI Construction Takeoff reveals the power of artificial intelligence (AI) and machine learning (ML) technologies in streamlining cost estimation, eliminating manual work, improving project estimates, and reducing the risks of costly rework in construction and facility management, property development, architecture and design, and building inspection areas.

The takeoff calculations hold certain challenges:

  • Large and complex projects have extensive details that are time-consuming.
  • Manual calculations are prone to human error and can lead to inaccurate estimates and project issues.
  • Editing project plans and specifications requires redoing the takeoff process, increasing workload and complexity.

Aiming to address key business challenges in the industry, AMC Bridge has created AI Construction Takeoff, a new proof-of-concept tool that aims to show what the future of construction takeoff can be.

By applying the power of AI and ML technologies, the new technology demonstration reveals a way to streamline cost estimation and reduce manual evaluation and the risks of costly rework in construction, facility management, property development, architecture, design, and building inspection areas.

While existing products offer similar functionalities, AMC Bridge’s AI Construction Takeoff differentiates itself by incorporating an advanced ML/AI framework for symbol detection, room square footage calculation, and exporting results to CSV.

AI Construction Takeoff offers the following functionality:

  • Automating labor-intensive tasks by detecting, labeling, and counting symbols on electrical construction plans.
  • Detecting rooms and calculating the room square footage.
  • Highlighting detected materials and room contours over the floor plan.
  • Exporting the results of object detection and room square footage to CSV.

To see the current functionality of the AI Construction Takeoff technology demonstration, watch a short demo video.

Read the full article on Informed Infrastructure.

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  • Streamlining Construction Takeoff Process: AMC Bridge Presents New AI-Based Technology Demonstration

    AMC Bridge’s AI Construction Takeoff technology demonstration aims to show what the future of construction takeoff can be. By automating the process of extracting information from the construction drawing, AI Construction Takeoff reveals the power of artificial intelligence (AI) and machine learning (ML) technologies in streamlining cost estimation, eliminating manual work, improving project estimates, and reducing the risks of costly rework in construction and facility management, property development, architecture and design, and building inspection areas.
  • AMC Bridge Presents New AI-Based Technology Demonstration

    AMC Bridge’s AI Construction Takeoff technology demonstration aims to show what the future of construction takeoff can be. By automating the process of extracting information from the construction drawing, AI Construction Takeoff reveals the power of artificial intelligence (AI) and machine learning (ML) technologies in streamlining cost estimation, eliminating manual work, improving project estimates, and reducing the risks of costly rework in construction and facility management, property development, architecture and design, and building inspection areas.
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  • Construction Takeoff Automation for Civil 3D Using Procore: AMC Bridge Releases a New Technology Demonstration

    AMC Bridge’s Civil 3D® takeoff using Procore® Budget integration shows a way to automate the construction takeoff process. It demonstrates how to seamlessly transfer a Civil 3D Bill of Materials (BOM) to Procore Budget. Connecting BIM authoring tool with Budget application improves the takeoff workflow by enhancing accuracy, as it eliminates the need for manual data entry and reduces the risk of errors. It increases the fidelity of the construction project cost estimation by ensuring that the latest BIM data is reflected in the project’s budget.
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