This week marks the beginning of the final period (P4), not only for the development of our project but also for the conclusion of our university degree. As such, the upcoming weeks promise to be quite demanding, as in addition to developing and finalizing the final project (PIC), we still have to submit other important assignments for the remaining courses required to complete the degree.
The task division for this period was established during the meeting held on March 30th. The 3D modeling will be handled by Tiago and David. The noise detection algorithm will continue to be developed by David. The alert system, including the integration of the LEDs or another notification mechanism, will be the responsibility of João S. and Tomás.
At the beginning of this week, we were contacted by our co-coordinator, Prof. Tiago Lourinho, regarding the arrival of the materials we had requested during the previous period. We currently have at our disposal three RP2040 boards, two ESP32C3 boards, two charging modules for 1A batteries, three 1A batteries, a set of LEDs, two button modules, four buttons, and one step-up module.
The noise detection algorithm, which had begun to be developed during the previous period, has now been finalized. By assembling a breadboard with the RP2040 board, a digital display, a button, and an LED, it was possible to conclude that, for a threshold adapted to a person's voice, the LED lights up as an alert signal for noise levels considered harmful to the user.
Among the tasks planned for P4, we started the development of the application through which the data from the noise detection algorithm and the capacitive sensor will be sent to a computer, in order to be presented in a format suitable for analysis by occupational safety and health professionals within companies. The application will include a login system with username and password, allowing each worker to upload their shift data to the platform at the end of the day, thus providing the records corresponding to their work period. This data will later be available in graphical format, making it easier to analyze and enabling a clearer and faster interpretation of the exposure levels recorded during the shift.
The work planned for this week was successfully completed, and the team met this Friday, May 2nd, to assess whether any adjustments are needed to the current schedule, which will be presented in the mid-program pitch deck scheduled for next Monday, May 5th.
View the ElectroCap Intermediate Proposal (Reduced Presentation Version)
