WhatAn AR app that uses on-device vision to passively recognize and log when you interact with household items, clothing, tools, and food — building a personal usage database without physical tags.
SignalMultiple commenters want the informational value of tracking object usage frequency but reject the friction and visual clutter of physical stickers — they want passive, invisible tracking that just works.
Why NowApple Vision Pro and Meta Quest have normalized spatial computing, on-device ML models can now recognize thousands of objects locally without cloud privacy concerns, and LiDAR sensors are standard on flagship phones.
MarketIntersection of smart home ($150B by 2028) and personal productivity — consumers, insurance companies wanting home inventory, and resale platforms would pay; no direct competitor does passive physical-object usage tracking.
MoatMonths of personalized object-interaction data creates a unique dataset per household that no competitor can replicate, plus the computer vision model improves with more users.
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