Surface defects, color drift, and edge chipping are hard to catch by eye on a fast line. Enao runs on an iPhone over the conveyor and flags problems in real time, without retooling your inspection process.
Tile manufacturers inspect millions of pieces a year, and most of that work still happens manually under fluorescent light. Operators get tired, defect categories drift between shifts, and small surface flaws slip through to the customer. A fixed machine vision rig takes months to install and costs more than a year of inspector wages.
Enao runs locally on a mounted iPhone watching tiles as they pass. The AI catches cracks, color shifts, and chipping on the spot, and operators confirm or correct calls from the same screen. No proprietary hardware, no central server, no six-month integration project.
Mount an iPhone, point it at the line, and start inspecting the same shift.
New patterns, new glazes, new sizes. The model learns from operator feedback without a relabel cycle.
Every flagged tile is logged with image, time, line, and reason.
Add another iPhone for the next line. No new servers, no new wiring.
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