Mattherw’s status report 4/6

What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours).

This week, I worked on getting the prototype ready for the MVP demo. I worked on 3d printing an entirely new bottle due to complications we had regarding the bottle starting to leak liquid despite the sealant and glue that we had used. I also helped get potential parts we would need, such as voltage regulators to power down the voltage needed from 9v to 5v or 3.3v depending on the circumstances. I also worked on the physical prototype with the team(as a team effort)

Is your progress on schedule or behind?

On schedule

What deliverables do you hope to complete in the next week?

We wish to have a new model of the bottle prototyped so that we can 3d print it, as well as making sure that we have enough space to fit in the sensors that we could not fit in on our MVP, such as the color sensor.

Now that you have some portions of your project built, and entering into the verification and validation phase of your project, provide a comprehensive update on what tests you have run or are planning to run. In particular, how will you analyze the anticipated measured results to verify your contribution to the project meets the engineering design requirements or the use case requirements?

We are planning to run tests on ultrasonic accuracy, determining if the amount of liquid that is currently being held is reliably close to the amount that is being estimated by the ultrasonic. The turbidity and tds will  be used to help differentiate liquids by comparing them to the values that we got through reference liquids such as coffee, milk, water and such. The color sensor will be used to find a case where there are two different liquids with similar turbidity/tds values and differentiate them through visuals.

We will test these results in a classifier and check whether the results are within a reliable level of tolerance, and calibrate according to the data that we receive in return.