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ASE Engine v2.0

The Science of Accessibility

Our Accessibility Scoring Engine (ASE) leverages advanced computer vision and deep learning to transform floor plans, photos and property data into actionable accessibility insights.

Accessibility Scoring Engine analysing a property

How It Works

  1. Data Ingestion

    Processing visual data from floor plans, 3D tours and high-resolution property images.

    Supports: JPG, PDF, Matterport

  2. Feature Extraction

    Computer vision algorithms identify critical features: door widths, step heights and corridor clearance.

    Precision: ±1.5cm

  3. Scoring Logic

    Mapping extracted features against established housing standards (ADA, Part M, Lifetime Homes).

    Output: 0–100 Score

Computer Vision Model

We use a custom-tuned Convolutional Neural Network (CNN) trained on over 300,000 distinct architectural features — from doorways and level changes to grab rails and turning circles.

34M+
Training parameters
99.2%
Object detection rate
<200ms
Inference time
300k+
Architectural features

Ready to integrate cutting-edge accessibility technology?

Partner with Foundations and Rightision to bring evidence-backed accessibility scoring to your stock.

Request partner accessTry the demo