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Week 4 - One Last Time

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 Objectives for today: Finish software with output logic Finish setting up hardware Make a poster Add more functionalities (optional) We had run into a problem right from the start as our PCB was printed out wrong. We hope that our PCB will arrive by today, but if worse comes to the worst we will have to finish it in the second group's lab schedule or make the output only single-digit. We tested the one-digit PCB and it works well. This would be our final product if we don't manage to get the second PCB in time. We are still working on improving the software. In the end, we had to be satisfied with our one-digit output. 
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Week 2 - Try Everything

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 Objectives for today: Finish the hardware circuit design Continue working on the code We all came to the labs today. Our objectives for this session are quite difficult to measure whether we have completed it or not. We kept working on the code and hardware. We kept tabs on each other, sharing our ideas and tested a few methods for finger detection. The methods included using Mediapipe, contour detection with high contrast between hand and background. Using Mediapipe proved to be the simplest as it automatically assigns landmark to a hand. We are working with the landmark relationships. We also made significant progress with circuit design and tested it's number output using a testing code that counts from 0 to 9. Ben also designed a potential PCB for our circuit.
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Our idea

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Computer vision system to recognize Hand gestures Our goal in this project is to develop a program that is able to count fingers that are on the video feed from a camera and output it on a 7-segment LED display. We will be using Raspberry PI 5 with its camera module. As a programming language, we chose Python for its simplicity and libraries provided. The code will detect fingers from the camera module and create varying outputs depending on the number of fingers shown.  The varying outputs will be processed by decoders and the appropriate number will be displayed on the LED display.  We hope to achieve this within the scope of 4 weeks. Team members: Abdulaziz Almhmoud, Ben Cooke, Travis Johnson, Zhengyu Chen, Huy Dat Le
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