Key takeaways
- Computer vision interprets a scan: it identifies rooms, openings, features, and finishes instead of just recording geometry.
- Combined with LiDAR, it turns a walk-through into structured data that lines up with UAD 3.6 fields.
- AI output is decision support. The appraiser reviews, classifies, and reconciles.
Introduction
Computer vision is becoming a core technology in property data collection. As UAD 3.6 brings structured, dynamic data requirements, manual workflows get harder to scale. Scanning apps that pair LiDAR with computer vision are designed to cut friction, improve consistency, and extract data automatically.
What is computer vision AI?
Computer vision is the branch of AI that lets software interpret images, video, and spatial scans and convert them into structured, machine-readable data. For real property, it can:
- Identify rooms and their boundaries
- Detect walls, doors, windows, and openings
- Classify room types and building features
- Measure dimensions and spatial relationships
- Recognize materials, finishes, and fixtures
A traditional measuring tool records geometry. Computer vision interprets it.
How it works in a scanning app
Scanning apps combine LiDAR for depth, an RGB camera for visual context, and computer vision models to interpret the result. A typical flow:
- The app captures a spatial scan of the property.
- AI models detect surfaces, edges, and objects.
- Rooms are segmented automatically.
- Dimensions and relationships are calculated.
- Structured data fields are populated.
From floor plans to structured data
Sketches and floor plans are pictures. Computer vision turns a scan into a dataset. It can:
- Identify room function (kitchen, bedroom, bath)
- Distinguish finished from unfinished areas
- Detect ceiling height changes and sloped ceilings
- Recognize open-to-below areas and stair openings
- Count and locate windows and doors
- Suggest room-level quality and condition ratings
That structure maps onto UAD 3.6's room-level reporting, level-by-level classification, and interior feature lists, which cuts manual entry.
Accuracy, validation, and professional judgment
Computer vision is a decision-support tool, not a replacement for the appraiser.
- AI output must be reviewed and validated.
- The appraiser stays responsible for classification and reconciliation.
- AI reduces the measurement burden; it does not replace judgment.
Integration and platform ecosystems
Scanning apps increasingly connect to forms software, property data repositories, transaction platforms, and UAD 3.6 schemas, so computer vision output can fill structured fields directly. As AMCs and platforms build their own ecosystems, scanning tools are likely to become embedded components: the scan captures front-end data, AI structures it, and the platform validates and distributes it downstream.
What it means for appraisers
- Efficiency: faster capture, less manual measurement, less re-keying.
- Consistency: standardized classification and fewer differences in geometry and room definitions across assignments.
- Focus: more time for market analysis and reconciliation.