Voice assistants in smart homes: possibilities, limitations, and future scenarios

23 Tem 23:38

In my house, the voice assistant really started working properly when I stopped relying on cloud services and moved some processing to a local Edge server. I built a small platform based on a Raspberry Pi 4, installed Home Assistant OS, and connected it to an MQTT broker integration. Using Node-RED, I created a script: "Someone enters the living room" → motion sensors → "turn on the lights" command → request to the local TTS module (eSpeak) → playback via Sonos. Everything happens without contacting external servers, so presence data stays with me, and the response delay is under 200 ms. For cross-platform compatibility, I use Zigbee + Matter (via a Thread bridge) protocols and Home Assistant’s open API, which allows writing skills in Python without being tied to a specific brand. That said, most proprietary solutions (Google Assistant, Alexa) require registration in their cloud, which limits local processing and complicates personal data protection. Open standards like Matter provide flexibility and independence, but support for some smart devices (e.g., cameras with analytics) is still weaker than in closed ecosystems. So in real projects, I often combine both approaches: critical functions (lighting, locks) run on a local controller, while heavier tasks (speech recognition, multimedia services) are offloaded to the cloud—though I always encrypt all communication channels.