Part 5/10:
With the groundwork laid for web applications, the next step is integrating hardware components like the Raspberry Pi Camera Module. By plugging in the camera through its designated interface, users can build a simple Python application using the PiCamera2 library. This setup allows for photo and video capturing, displayed directly on the web app, showcasing the potential for building home surveillance systems or interactive projects.
Streamlining video feeds is achievable via FastAPI configurations and MJPEG encoding, providing real-time video through web browsers. Notably, the integration of AI can take these projects to the next level. Employing technologies like YOLO for object detection enables automated monitoring of environments using the camera feed.