Implement Sound Recording from Microphone Sound Sensor Module via ADS1115 ADC on Raspberry Pi Zero W v1.1 #3
Description
Reason:
A nice enhancement to the round robot, that allready has a raspberry pi camera 3, would be the a microphone.
Objective:
Implement functionality to record sound from a Small Microphone Sound Sensor Module connected to an ADS1115 ADC on a Raspberry Pi Zero W v1.1.
Overview:
The Raspberry Pi Zero W v1.1 does not have a built-in analog-to-digital converter (ADC) to interface directly with analog sensors like a microphone. Therefore, we need to use an external ADC such as the ADS1115 to convert the analog signal from the microphone into digital data that the Raspberry Pi can process.
Tasks:
Hardware Setup: Document the required hardware setup, including connecting the Small Microphone Sound Sensor Module to the ADS1115 ADC and connecting the ADS1115 to the Raspberry Pi Zero W.
Software Implementation: Develop software to interface with the ADS1115 ADC and read analog data from the microphone sensor module. This involves configuring the ADS1115, reading analog values from the microphone sensor, and converting them into digital data.
Sound Recording: Implement functionality to record sound data from the microphone sensor module using the digital data obtained from the ADC. This may involve capturing audio samples, storing them in a suitable format, and managing audio recording sessions.
Testing and Validation: Test the implemented functionality on the Raspberry Pi Zero W v1.1 to ensure that sound recording from the microphone sensor module works as expected. Validate the recorded audio data for accuracy and reliability.
Documentation: Document the setup instructions, usage guidelines, and any other relevant information to help users replicate the setup and use the sound recording functionality effectively.
Additional Information:
Hardware: Raspberry Pi Zero W v1.1, Small Microphone Sound Sensor Module, ADS1115 ADC.
Software: Python (or preferred programming language), ADS1115 library or driver.
Environment: Linux (Raspberry Pi OS or equivalent).