AI Construction Takeoff highlights detected materials and room contours on floor plans.
WALTHAM, MA, Nov 14, 2024 – 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.
With increasing materials expenses in the construction industry, mastering takeoff calculations is a crucial step for accurately forecasting project expenses and enhancing bidding strategies.
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.
Utilizing an ML framework to detect objects accurately, the prototype demonstrates how to solve numerous business cases across the construction industry that involve a labor-intensive process of reviewing and analyzing construction drawings. It can benefit the accuracy and reliability of construction plans, the speed of the construction takeoff, the planning and management of maintenance and repair, the verification of plans compliance with building codes.
AMC Bridge’s AI Construction Takeoff demonstration technology has the potential to address the critical challenge of inefficiency and inaccuracy in the construction takeoff process. By significantly enhancing cost estimation accuracy, project timelines, and overall project quality, ultimately contributing to more successful construction projects, this technology can revolutionize the construction industry.
To see the current functionality of the AI Construction Takeoff technology demonstration, watch a short demo video.
For more information about AMC Bridge, visit amcbridge.com.
