Project Name: “Sound Guardian” Date/Time: 9/22/2026 / 6:00 PM

Current Phase: Prototyping

Scrapped 8x8 LED Matrix for 8x13 LED Matrix present on Arduino Uno Q Board. Left us with no option but to draw certain images to differentiate between threats. Image display is completely implemented, with different functions to display different images, such as glass breaking or a fire alarm going off.

Fully implemented SMS messaging based off of amplitude of audio detection as proof of concept. Pivoted towards ML but still have not completely trained the model to use for threat detection. Found a dataset to train ML called ESC-50 to train model on, as well as our voices to get "familiar voices" and "unfamiliar voices" detected.

Arming/disarming placed on the backburner to focus on main problems with ML and audio detection.

The Mac processes audio from the USB microphone and sends the data over USB serial to the UNO Q. A Python relay running directly on the UNO Q's Linux side reads that serial data and forwards it over TCP into the App Lab container. This lets App Lab receive the microphone data for ML classification and then trigger alerts and LED responses.