This project enables dog owners to analyze their dogs' barking to monitor their well-being. It integrates various academic disciplines such as learning systems, signal processing, software, electrical design, and communication protocols, utilizing an ESP32 and a CODEC component with microphone circuits.
This project is intended, on a practical level, to allow dog owners to analyze the barking of their dogs and thus monitor their condition.
At the academic level, the project integrates several areas, including learning systems, signal processing, software, electrical design, communication protocols, and more. All of these are used to record and analyze an audio signal on a tiny learning system (Tiny ML).
The project is built on ESP32 and a CODEC component that includes microphone circuits and a command unit. In addition to the physical items, it also includes a trained network that was trained on the dog barking data we collected.
