Project: Intelligent Sensor Array
An overview of the architecture and intelligence layers for a next-generation, context-aware smart environment.
Core Architecture
The system is built on a multi-stage analysis engine that processes data over increasing timescales, moving from raw sensor input to deep pattern recognition.
[Sensor Layer]
│
▼
[Data Collection & Storage]
│
▼
[Integrated Analysis Engine]
├── Immediate Analysis (5min)
├── Short-term Analysis (hourly)
├── Daily Analysis
└── Long-term Analysis
│
▼
[Intelligence Layer]
├── Pattern Recognition
├── Experiment Proposals
├── Formal Insights
└── Tidbits Engine
Intelligence Categories
Our system delivers two distinct forms of insight, blending actionable recommendations with ambient, human-like observations.
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Formal Insights
Structured, actionable information focused on environmental optimization, energy efficiency, and comfort metrics with clear recommendations.
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Tidbits Engine
Casual, "human-like" observations that make the system feel alive by pointing out unexpected correlations, amusing patterns, and lifestyle observations.
System Personalities
Instead of a single, neutral voice, the system implements multiple distinct "personalities" that represent different functional cores (e.g., Environmental, Health, Behavioral). These entities interact, debate, and build on each other's findings to reach a consensus, providing a more dynamic and robust analysis. This "House Hub" approach allows for nuanced, context-aware actions and recommendations.
Core Hardware Components
The system utilizes a distributed network of sensors and processing units, with ESP32-S3s as primary room controllers and a central server for heavier processing.
- Environmental
- BME680 (Temp/Humidity/VOC)
- MH-Z19B (CO2)
- BH1750FVI (Light)
- Presence & Motion
- RCWL-0516 (Microwave Radar)
- VL53L0X (Time-of-Flight)
- AM312 (PIR)
- Audio & Processing
- INMP441 (MEMS Mic)
- ESP32-S3 (Room Controllers)
- Central Server (Analysis)