Abstract: Apparatus operative via executable software to quantify building metrics using artificial intelligence analysis of a design plan. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI is used to determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes enforcing fire safety and the Americans with Disabilities Act.

Abstract: Artificial Intelligence systems receive two dimensional design plans (e.g., physical, or electronic documents) that are processed to mimic the perception, learning, problem-solving, and decision-making formerly performed by human workers assessing the design plans for compliance with an applicable code. AI analysis converts vector images into patterns that are conducive to machine learning and generates a dynamic interface that allows a user to interact with the AI findings. The AI assesses whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes enforcing fire safety and the Americans with Disabilities Act.

Abstract: Methods and apparatus for processing two-dimensional references using artificial intelligence to generate items in a construction takeoff. A two-dimensional reference, such as an architectural floor plan is provided as input to a controller operative to be an artificial intelligence engine (AI engine). The AI engine generates a user interactive interface and quantities of items, such as net floor space of a room or a region, and dominance rankings, which may be used to generate the construction takeoff.

Abstract: Artificial Intelligence systems quantify requirements for construction of a building by receiving two-dimensional representations (e.g., physical or electronic documents) and mimicking the perception, learning, problem-solving, and decision-making formerly performed by human workers. AI analysis may be repeated for multiple two-dimensional representations, each two-dimensional reference including a change to a design of a building to be constructed. The AI processes denote and track changes made in the sequence of two-dimensional references, and extrapolate changes to materials and labor that relate to the changes in design of the building to be constructed.

Abstract: Artificial Intelligence systems receive two dimensional representations (e.g. physical or electronic documents) that are processed to mimic the perception, learning, problem-solving, and decision-making formerly performed by human workers. AI analysis is repeated for multiple two dimensional representations over time, each two dimensional reference including a change to a design of a building to be constructed. The AI processes denote and track changes made in the sequence of two dimensional references and extrapolate changes to materials and labor that relate to the changes in design of the building to be constructed.

Abstract: Methods and apparatus for processing two dimensional references using artificial intelligence to generate requirements of a construction project. A two-dimensional reference, such as an architectural floor plan is provided as input to a controller operative to be an artificial intelligence engine (AI engine). The AI engine generates a user interactive interface and quantities of items, such as net floor space of a room or a region, which may be used to manage construction projects.

Abstract: Methods and apparatus operative to quantify building metrics using artificial intelligence analysis of a design plan. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI may determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes enforcing fire safety and the Americans with Disabilities Act.

Abstract: Methods and apparatus for processing two dimensional references using artificial intelligence to generate requirements of a construction project. A two-dimensional reference, such as an architectural floor plan is provided as input to a controller operative to be an artificial intelligence engine (AI engine). The AI engine generates a user interactive interface and quantities of items, such as net floor space of a room or a region, which may be used to manage construction projects.