Trippie

Trippie turns a rugged toy robot and an Android phone into an AI agent for neighborhood safety. It identifies potential sidewalk hazards and turns photographic evidence into actionable city maintenance reports—helping communities catch small problems before someone gets hurt. A study of 2019 U.S. EMS records identified 118,520 injurious falls on streets and sidewalks. Earlier repairs can also cost far less: Plano’s sidewalk pilot averaged $55 per trip-hazard repair, compared with an estimated $864 for removal and replacement. Trippie helps communities find and report hazards before injuries—and repair costs—grow. Given a mission, the Android agent uses Meta’s Muse Spark Open to interpret camera images and recommend movement commands, which the phone validates and sends over Bluetooth. When it finds a hazard, SAM 3.1 outlines the affected area, and Muse Spark Open verifies the highlight. The phone then prepares and submits supported cases to Fix It Plano. A public portal displays locations, photos, highlights and case status. Muse Spark Open brings visual reasoning, a million-token context window and affordable inference to the workflow. SAM 3.1 makes findings easy to inspect. Together, they give a favorite toy a new purpose: a little robot helping build a safer neighborhood.