Turns iPhone LiDAR scans, depth maps, room scans and reference-card photos into real-world measurements with uncertainty ranges, letting an AI client size cookware and scale recipes, check room and doorway fit, classify Amazon FBA size tiers and fees, and estimate moving or storage volume. It reports a ± and confidence level with every figure and states plainly when it is guessing.
Provides camera and vision tools for AI assistants to list available cameras, capture images from USB cameras, and save frames to disk for use with LLMs.
Enables PTZ camera control with gimbal positioning, snapshots, and AI visual analysis for OBSBOT and UVC cameras. Supports autonomous scanning patterns and integrates with vision-language models for real-time camera analysis.
Enables LLMs to inspect a live BabylonJS scene through structured scene data, WebGL frame captures, screenshots, and arbitrary scene evaluation, with optional Gemini vision analysis.
Enables AI agents to drive 360° cameras by connecting, checking status, reading and changing settings, taking photos, recording video, browsing the gallery, and downloading media as cancellable background jobs, with local stitching and export of 360° footage. It is honest about backend limits, returning structured, explained errors for anything a given camera or connection cannot do.