What shipped, release by release

Added

• cam.load_model(name) — loaded models run on every stream frame (frame.models) and on demand via cam.infer()
• presence-core — debounced presence & approach detection with adaptive background tracking; works on every device including 1D sensors
• occupancy-home-v1 — room occupancy from depth CV: background estimation, depth-aware connected components (splits overlapping people), physical-height person/pet classification. 90% agreement with simulator ground truth
• Simulator now renders physically-scaled synthetic depth frames (FOV-correct person size), so depth models are testable without hardware
• Announced-but-unshipped models raise ModelNotAvailableYet with waitlist instructions

Changed

• Model Marketplace page now shows per-model status badges — shipping models are free and marked "Available now"
• Test suite grew to 13 tests

Added

• pip install spatialai — package registered and published on PyPI
• Camera / Sensor API: detect_people(), stream(), distance_m(), context-manager support
• Realistic simulator for all four products — the five-line quickstart runs on any machine with no hardware
• Real I²C backend for Spatial Mini (DM0301, VL53L4CD-compatible) via pip install "spatialai[dm0301]" on Raspberry Pi and Linux SBCs
• CLI: spatialai demo, scan, devices
• MIT license, pytest suite

Shipped

• Full product site: four ToF products with real supplier specs, store with cart & order checkout, developer docs, blog, support
• Cloudflare Workers deployment with staged 404 handling and auto-deploy from main
• AI-generated product imagery matched to actual hardware form factors