ruvnet/RuView：README 來源編輯指南

ruvnet/RuView 的 README 將專案描述為「π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection , all without a single pixel of video.」。本文只整理倉庫可直接核對的內容，不把 star、Fork 或宣傳語當成品質證明。README 在「See through walls with WiFi」下寫到：Turn ordinary WiFi into a spatial intelligence / sensing system. Detect people, measure breathing and heart rate, track movement, and monitor rooms , through walls, in the dark, with no cameras or wearables. Just physics.。這說明的是專案邊界，不是已完成的生產驗證。

從 README 的「π RuView is a WiFi sensing platform that turns radio signals into spatial intelligence.」與相關條目，可以先判斷它是否處理你的實際問題：Vital signs , breathing rate and heart rate, contactless, while sleeping or sitting。若需求不同，不應只因專案熱度就採用。本文保留原始專案名、命令與元件名，方便回到一手來源核對。 README 另外列出一項可核對的資訊：Presence and occupancy , detect people through walls, count them, track entries and exits。這類原文條目可用來設計試跑步驟，但不能取代實際環境測試。

README 將運作方式分散在「See through walls with WiFi」等段落。可確認的線索包括：> Drop into any Home Assistant install with one --mqtt flag. Or pair into Apple Home / Google Home / Alexa / SmartThings as a Matter Bridge.。本文不把未寫出的架構、效能或安全邊界補成結論；真正的執行鏈仍要配合目錄、設定檔與版本標籤檢查。

第一次安裝應從 README 指出的入口開始。目前可核對的命令是： # Option 1: Docker (simulated data, no hardware needed) docker pull ruvnet/wifi-densepose:latest docker run -p 3000:3000 ruvnet/wifi-densepose:latest # Open http://localhost:3000 # Option 2a: Live sensing with ESP32-S3 hardware ($9) # Flash firmware, provision WiFi, and start sensing: python -m esptool --chip esp32s3 --port COM9 --baud 460800 \ write_flash 0x0 bootloader.bin 0x8000 partition-table.bin \ 0xf000 ota_data_initial.bin 0x20000 esp32-csi-node.bin python firmware/esp32-csi-node/pr 如果倉庫沒有命令，本文不會自行編造步驟，而是建議先閱讀「See through walls with WiFi」，確認系統依賴、預設埠與首次初始化。

日常使用取決於專案文件。README 的「π RuView is a WiFi sensing platform that turns radio signals into spatial intelligence.」段落提到：Every WiFi router already fills your space with radio waves. When people move, breathe, or even sit still, they disturb those waves in measurable ways.。設定檔、環境變數、權限與資料目錄只在來源明確時才會記錄；沒有寫出的預設值，應在測試環境驗證並保留回滾副本。 同一部分也提到：Activity recognition , walking, sitting, gestures, falls , from temporal CSI patterns。