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C h a p t e r 2 | T h i n k For example, effective vision AI and image processing workloads typically require a dedicated hardware accelerator, such as an Image Signal Processor (ISP), to handle high- resolution data streams. Similarly, memory capacity is crucial, as most embedded AI applications require at least 2GB of RAM to avoid throughput bottlenecks. Systems also require sufficient on-board storage, such as 16GB or 32GB of eMMC, to manage local video streams and log the large volumes of sensor data required for intelligent operations. Selecting the right hardware architecture involves balancing these AI workloads to avoid the high costs of over-engineering. Computer vision applications, such as object detection and image classification require a precise balance of CPU and GPU performance to maintain the frame rates necessary for real-world interaction. UNO Q does the balancing for you. Using its dual-brain hardware and the Arduino App Lab software ecosystem, designers can run pre-trained models optimized for the specific power and thermal constraints of edge hardware. Still, the growing dominance of AI in edge workloads necessitates a move away from standard single-loop code toward hybrid processing models. With UNO Q, designers get an architecture in which the microprocessor handles heavy connectivity and high-level Python logic, while a secondary microcontroller oversees deterministic, real-time control. This division of labor enables teams to run local LLMs or complex vision data sets like YOLO and COCO directly at the edge. Furthermore, the high-level processor enables engineers to use existing frameworks, such as Flutter or Streamlit to create sophisticated user interfaces that would otherwise overwhelm a standard microcontroller. Vincenzo Catalano AI Engineer, AROL A thinking device implies the ability to understand context and react on its own. It means the device stops nagging the user for every little decision." 11 From Blink to Think: How Arduino UNO Q Helps Designers Go from Idea to Intelligent Product