Gateward

Gateward is a spatial accessibility auditor that turns a handful of smartphone photos of a building entrance into a measured, ADA-referenced accessibility assessment. Accessibility audits of entrances, checking door clear width against the ADA’s 32-inch minimum, spotting steps, ramps, obstructions, and hardware that requires grasping or twisting, are normally done by hand, with a tape measure and a trained eye. Gateward automates that process without sacrificing the measured rigor: it doesn’t just describe a photo, it calculates a real physical measurement from it. The pipeline uses SAM 3.1 to segment the door and a standard sheet of printer paper taped to it as a known-size calibration reference, converting pixel-space detections into a real-world measurement in inches with a stated confidence range and a PASS/BORDERLINE/BLOCKING verdict. Muse Spark then reasons over SAM’s actual detection geometry, real bounding-box coordinates for the door, stairs, ramps, handrails, and other features across all submitted photos, to produce a structured set of accessibility flags with severity levels and remediation suggestions. The result: a property manager or business owner can self-check an entrance in minutes without hiring an auditor, and a professional auditor can use it to screen many entrances quickly, reserving manual review for the cases that come back borderline.