Computer vision system to recognize Hand gestures

Objectives for today Meet up in the lab Collect ordered supplies Set up Raspberry PI Make a simple test code for the Raspberry PI camera Timeline: All of us arrived at the lab and we went to collect the parts we ordered, which included: Raspberry 5 4GB RAM Seven-segment LED display ICs for the display (CD4511) Camera module for Raspberry PI Power supply for Raspberry PI 64 GB microSD card We set up the Raspberry PI which did not proceed without minor hiccups. We were missing a micro-HDMI to HDMI converter and could not connect to the university Wi-Fi network using the Raspberry PI device. All of these were fortunately resolved with the help of technicians and our own mobile hotspot. While Travis and Zhengyu worked on the code, Ben was researching the hardware connections and circuits. Abdulaziz and Huy Dat were working on the logbook and online blog. The members occasionally checked up on each other and tried to help if needed. The test code for Raspberry Pi cam...

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