Python Developer with a strong background in working with Raspberry Pi and Pi Global Shutter Camera. The project involves creating memory-efficient Python scripts for a specific machine vision pipeline. This role will require integrating hardware control with computer vision and machine learning models to create an automated, responsive system.
• Develop Python scripts to initially power a solenoid, then trigger the Pi Global Shutter Camera to take pictures at 60 frames per second (fps) for a configurable duration. • Integrate a pre-trained machine vision model to analyze the captured frames. • Based on the model’s output, activate a second solenoid or not. • Ensure the process repeats efficiently, maintaining minimal memory usage. • Create a simple graphical user interface (GUI) to display a snapshot of one of the video frames in real-time. • Store the data, and share count results in the GUI
Use either google coral or preferably Intel Compute Stick 2.
