Arduino Uno and Nano primarily function as control interfaces rather than image processors when working with AI camera modules. These boards have extremely limited resources (2KB RAM on Uno, 32KB flash memory) which makes it impossible to store even a single 320x240 pixel image, let alone process it. Instead, AI modules like HuskyLens, OpenMV, or ESP32-CAM contain dedicated processors (like STM32H7 in OpenMV or ESP32 in ESP32-CAM) that handle all the computationally intensive tasks internally. These modules run neural networks, perform image processing, and extract features, then send only the interpreted results to Arduino - such as "face ID:1 detected at position (150, 120)" or "red line detected at angle 45°". The Arduino then uses these simplified data packets to make decisions, like turning a servo to track the face or adjusting motor speed to follow a line.