Author: jdabreo

This week our group spent most of our team researching and testing CV algorithms for image, feature, and edge detection. I spent time testing different algorithms with two hand drawn resistors, a horizontal and vertical wire, and a voltage/current source. My research included implementing mean squared error, Haris Corner detection, and template matching algorithms. Mean square error seemed to have the lowest error rate when comparing two individual components, however implementing with complex circuits would be too inefficient to run with the WebApp. My testing included taking and comparing each hand drawn electrical component previously listed and comparing the error rate with one another to see which pairings produced the smallest error. The algorithm did work well, however is not scalable with the size of the project. The other two algorithms were not as effective with single component detection and I therefore did not pursue any further research. From there I created the WebApp for our website and started working on the upload page. The upload page is planned to be completed by early this week and I plan for it to be completed by Monday evening. Currently I am on schedule as I need to complete the upload page by Monday and continue to help with research. Next week I want to look at number detection to help with other CV components outside the circuit itself, reading the values written next to each electrical component.