Vybz Log

Week 1 (Jan 26th - Feb 2nd)

All Members: We brainstormed ideas and decided on a plausible project idea that would be useful in its functionality (30 min). Our goal is to create a speaker that will process the noise in a room and self-adjust its output, maintaining the social atmosphere of the space. The professor mentioned briefly that the Raspberry Pi would be the most suitable processing unit for this type of project. With this in mind, we conducted individual and group research as it related to the use of the Raspberry Pi, the input of noise via a microphone, and candidates for speakers compatible with the Raspberry Pi (30 min). In developing this idea we met with our TA, Sam Chai, and the Professor to further our search for preliminary materials and augmenting our goals for the upcoming weeks (1 hour). During this meeting we discussed the A/D converter in processing sound, challenges of coding as it relates to communication between microphone and Raspberry Pi, and creating more elements of our Wiki page.

Week 2 (Feb 2nd - Feb 8th)

All Members: We had our weekly meeting with Sam Chai on February 7 to discuss the progress of our project. During the meeting we had the chance to discuss our newly generated Gantt Chart, learn a possible approach to analyze the sound input in the Fast Fourier Transform, and begin the preliminary steps to setting up our Raspberry Pi (1 hour 30 minutes). Also, we continued working on the project proposal including additions to budget items, challenges, and objectives (45 min).

Daniel: Researched the internet for potential A/D converters that would be compatible with the Raspberry Pi and an overall good fit for our project (30 minutes). Found the MCP3008 which can process more than the required 40,000 Hz of sound.

Benjamin: Researched microphones and speakers that are compatible with the Raspberry Pi and would fit the input and output needs of the project (1 hour). Found both a quality speaker and microphone compatible with the Raspberry Pi also well within our budget. Worked on the Google Slide presentation for the project proposal (45 min).

Isaac: Begun taking a look at the Raspberry Pi and working with the lab monitors (45 min).

Benjamin and Daniel: Generated the Gantt Chart which detailed the appropriate goals and deadlines for the project (1 hour). Set aside roles for each group member and assigned different tasks for the team.

Week 3 (Feb 9th - Feb 15th)

Isaac (Feb 12): Researched the Fast Fourier Transform. Found Matlab code that could potentially be useful (1 hour). ( Feb 15): Found C Libraries which can by implemented through python; PyAudio, PySerial, NumPy. Necessary for FFT program to run( 1 hour).

All Members (Feb 13): Created project proposal in Google Slides. Created a rudimentary budget, objectives, and challenges and included an updated Gantt Chart (1 hour). Met with Professor Mell to discuss project. Brought up the FFT and strategized how to apply it through adding/subtracting sin waves. (30 min) Autostarted Raspberry Pi with VNC viewer (1/2 hour). Began learning Python via Codecademy.

Ben and Daniel (Feb 14): Enabled SSH with Raspberry Pi. Connected personal laptops to the pi with IP address (2 hours). Configured the Pi to run the bash script and email its IP address 30 seconds after the Pi rebooted

Link to Project Proposal: https://docs.google.com/presentation/d/1-aceL_Ulm3FMN4_c8DnqJogrqBLV7KN6ToSFz62DLEk/edit?usp=sharing

Week 4 (Feb 15th - Feb 22nd)

All members: This week we purchased all of the materials needed to progress into the next stage of our project (30 minutes). Each group member allocated time to learning the Python programming language (2 hours each). We met with Sam on Wednesday and discussed the next steps in hooking up our microphone to the Raspberry Pi (1 hour). At the same meeting, we had the chance to catch up with Professor Mell about our progress.