Use Raspberry Pi and Luxonis OAK to Deploy Vision Models in Robotics

Ananth Vivekanand's guide discusses leveraging computer vision in robotics using Roboflow and a Luxonis OAK camera, with a focus on applications in the FIRST Robotics Competition (FRC). The process begins with setting up a Raspberry Pi 4 with the latest Raspbian OS and an internet connection, followed by creating and annotating a robotics dataset on Roboflow to train machine learning models. The guide emphasizes the importance of capturing diverse images for robust model training and suggests using preprocessing and augmentation techniques to enhance model performance. Once the dataset is prepared, users can train and deploy models onto the Raspberry Pi and Luxonis OAK camera. The guide details the installation of necessary software dependencies and offers a Github repository with code snippets to assist users in running their models. By integrating this system into existing robotics control systems, users can enhance their robots' capabilities to detect and respond to objects in dynamic environments.