Quantity Survey
QuantityAI propels a transformative approach to quantity surveying, infusing traditional practices in architectural and construction engineering with advanced technology. Utilizing machine learning and particularly deep learning paradigms, it automates and enhances surveying processes in architectural drawings. This amalgamation of conventional surveying practices with innovative computational techniques, such as U-Net for precise image segmentation, heralds an era characterized by unparalleled precision and efficient methodology in navigating the nuanced demands of construction and architectural projects. Consequently, QuantityAI not only optimizes existing processes but also paves the way for novel, technology-driven approaches in the domain.
Algorithmic Precision: Advancements in Quantitative Analyses
Addressing the multifaceted challenges of architectural and construction projects, QuantityAI employs a novel approach, integrating sophisticated computational solutions like U-Net, a convolutional neural network used for biomedical image segmentation. The advanced algorithms of QuantityAI automate the analytical processes, eliminating the need for manual calculations for determining metrics such as surface finishes and materials. U-Net, with its encoder-decoder architecture, aids in effectively segmenting images of construction elements, ensuring precise data extraction for robust analysis. This not only diminishes the potential for human error but also expedites project timelines, enabling professionals to allocate their focus towards more refined aspects of project design and execution.
Robot-Assisted Quantity Surveying
Seamless Integration of Formats:
From Drawing to Data Analysis
Quantity AI, through its advanced algorithmic framework, supports the ingestion of architectural blueprints across multiple formats, including PDF, JPEG, and PNG. This versatility ensures comprehensive adaptability to diverse data sources prevalent in construction and architectural domains.
Post data ingestion, the system embarks on a feature recognition phase, identifying hatch patterns and subsequently computing the corresponding areas. The extracted metrics are then streamlined and exported to structured CSV formats, facilitating data-driven decision-making in procurement phases.
Advanced Hatch & Label Recognition Algorithms
Spot on! Quantity AI’s strength resides in the nuanced use of robust feature extraction algorithms, intricately tailored to interpret the subtleties of architectural drawings. It delves into rooms, navigates through diverse hatch patterns, and adeptly identifies associated labels, all through precise machine learning methodologies.
These extracted features, fundamental to accurate and rigorous quantity surveying, enable Quantity AI to redefine traditional approaches. By harnessing deep learning’s capabilities, the process is streamlined and accuracies in surface area computations are ensured, minimizing the margin of manual errors commonly associated with conventional surveying methodologies. This synergy between architectural knowledge and computational proficiency propels Quantity AI into a pivotal role in modern architectural and construction engineering.
Area Aggregation with Polylines:
A Hybrid Approach
Ensuring Data Fidelity in Quantity Surveying with QuantityAI
Practical Functionality with API
QuantityAI offers a subtle approach to architectural quantity surveying, facilitating work on multiple layers to manage architectural plans with added detail. The provision to merge areas and customize units offers a level of flexibility in spatial analysis and adherence to various standards. Moreover, its API availability provides a modest yet effective integration with different digital platforms, supporting diverse workflows in architecture and construction.
Collaboration and Engagement
We offer extensive expertise in our research domain and actively seek partnerships for collaborative projects. Additionally, for organizations requiring specialized solutions, our team is available to provide tailored services to address your challenges. To discuss collaboration or engage our services, contact us at hello@nested.ai or reach out to us below. We’re eager to explore how our skills can benefit your needs.
