Smart Home Monitoring System

A secure, intelligent automation system built on the Arduino Uno Q dual-brain architecture. This project monitors temperature, security, and air quality while keeping data private and localized.

🌟 Inspiration

The core inspiration for this project was the Arduino Uno Q and its unique "dual brain" capability. This allowed us to monitor a home safely while ensuring all sensitive data was contained and processed directly on the Arduino.

🛑 Problem Statement & Solution

Problem: Modern homes need intelligent monitoring without compromising privacy or sending sensitive data to third-party clouds.
Solution: An Arduino-based automation system that monitors temperature, security, and air quality with real-time alerts delivered to a private web dashboard.
In Our Example: We are using our beloved Jacob Hall’s Fallen Star to ensure its security and safety.

🛠️ How We Built It

💻 Development Tools

Vibe Coding: We utilized Google AI Studio and Claude to prototype and iterate on our logic.
Connectivity:
- We successfully connected the Arduino Uno R4 Wifi to Snowflake.
- We attempted to connect via serial to a Snowflake website for the Uno Q, but this was unsuccessful.

🔄 The Pivot

Due to the Uno Q connection issues, we had to pivot our architecture:

We remade the dashboard using custom HTML code.
We implemented a Localhost connection to maintain the real-time data stream.

⚠️ Challenges & Learnings

1. Snowflake Setup

Setting this up was a significant learning curve. While the R4 Wifi worked, the Uno Q refusing to connect forced us to switch our communication methods.

2. Sensor Interference

The air sensor was interfering with the security system, causing windows to open at the wrong threshold.

The Fix: We resolved this by making the threshold adjustable within the code.

3. Servo Motor Issues

We faced several hurdles when switching from continuous servos to motion ones:

The Arduino Uno R4 Wifi supported continuous servos better.
The Arduino Uno Q required specific motion servos.
The Result: We had to remake our code for the switch to the Uno Q. Since the switch, the servos have become more "twitchy," which is something we are continuing to calibrate.

🚀 Next Steps

Servo Calibration: Fine-tuning the Uno Q code to reduce servo twitching.
Dashboard Expansion: Adding more detailed historical data tracking to the local HTML dashboard.
Enhanced Security: Further utilizing the "dual brain" of the Uno Q to encrypt local data.