Jong Woo’s Status Report for 10/29/2022

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 past week, I focused on further applying the canny edge detection filter and using non-maximum suppression to draw out circles on top of the pre-existing braille characters. Canny edge detection, supported by OpenCV, allows various structural information to be extracted from an image while dramatically reducing the amount of the data to be processed. The results of the canny edge filter applied image will be facilitated for the non-maximum suppression, which would select a single entity (dot) out of many overlapping entities and draw out individual colored circles on the top. 

Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?:

             Progress is on schedule, and the upcoming week will be primarily focused on the group work regarding camera integration. 

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

        Camera Integration is the primary goal to be completed by next week. This is quintessential for the upcoming interim demo on the Nov 16th, and I believe that as long as camera integration could be completed in time, our team would be able to have some tangible deliverable by the interim demo date. 

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