Egress Analysis AI
AI verification of building egress paths and exit requirements.
Definition
Egress Analysis AI automatically verifies that building designs meet code requirements for emergency egress. These systems analyze floor plans to identify exit paths, measure travel distances, verify corridor widths, check exit door configurations, and ensure proper exit signage. AI can instantly flag egress deficiencies that might take experienced code reviewers significant time to identify manually.
In Depth
Egress analysis is among the most critical code compliance tasks in building design. The consequences of getting it wrong are severe — insufficient egress capacity can delay permitting, require expensive redesign, or in the worst case, endanger building occupants. The analysis involves calculating occupant loads, travel distances, exit capacities, exit separation distances, and common path of travel limits — all of which interact with the building's occupancy classification and sprinkler status.
AI-powered egress analysis begins by identifying each room's occupancy type and calculating the occupant load using the applicable load factor from the building code. It then traces all available egress paths, measuring travel distances to the nearest exit, common path of travel to a point where two distinct paths become available, and the total travel distance to the exit discharge. Each measurement is compared against the applicable code limit.
Where AI excels is in handling the interactions between requirements. Adding a sprinkler system increases the allowable travel distance, which might make a previously non-compliant layout acceptable. Changing a room's occupancy classification changes its load factor, which changes the exit capacity requirements for every exit serving that space. The AI recalculates all of these dependencies instantly, allowing designers to explore options and understand the code implications of design decisions in real time.
Examples
Calculating travel distances from all points to nearest exits
Verifying corridor widths meet occupant load requirements
Checking that exit discharge paths are unobstructed
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Egress Analysis AI automatically verifies that building designs meet code requirements for emergency egress. These systems analyze floor plans to identify exit paths, measure travel distances, verify corridor widths, check exit door configurations, and ensure proper exit signage. AI can instantly flag egress deficiencies that might take experienced code reviewers significant time to identify manually.
Calculating travel distances from all points to nearest exits. Verifying corridor widths meet occupant load requirements. Checking that exit discharge paths are unobstructed.
Automated Code Compliance: Check drawings against 380+ building codes and standards with cited answers. Automated Drawing Review: Automatically review drawings against building codes, internal standards, and client requirements.


