Yuxuan Gu

Raspberry Pi Image Capture and CNN Proficiency: A Personal Endeavor

In my personal project, I employed a Raspberry Pi camera module to capture static images from different angles, manually labeling each with categories. Leveraging Python's Qt tools, I developed a user-friendly interface capable of automated interval-based captures or manual single-click shots. Using this data, I crafted a Convolutional Neural Network (CNN) model, yielding a 91.89% accuracy on test data. This endeavor aimed to hone Raspberry Pi and CNN proficiency, prioritizing skill development over hyper-optimization of model parameters.