Team Status Report for 11/11/23

Stephen made several large changes to the computer vision subsystem in an effort to improve accuracy of classifications so that we can hit our accuracy requirements. Because of this, he did not get to performing benchmark tests to quantify how accurate the system is as of now. The goal for the end of this week was to get 80% accuracy and 90% next  week. As long as by the end of next week Stephen can hit close to the 90% mark, he will remain on schedule. Otherwise, we will have to use some slack until this mark is hit.

Jaden worked on the application’s UI, specifically the value input for components. He was able to get the feature to work in a way where you can tap on each individual component on the circuit and enter in a value. He still needs to figure out how to display these values onto the screen though. Devan worked mostly on trying to integrate diodes into his circuit simulator. This proved to be very challenging because he has to incrementally solve a system of equations in a loop until his solution converges. He is a little behind, but will make this up over Thanksgiving.

Starting next week we’re going to gradually start working on the integration of our subsystems. This means creating bridge files for the C++ classes that Stephen and Devan have created, as well as some other minor details like what was mentioned in last week’s report.We will also start doing unit and integration testing in order to benchmark requirements and make further refinements.

 

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