Makers understand that doing
the actual building, tinkering,
and testing is where progress
happens. With larger teams,
progress can get lost in too much
planning and not enough doing."
C h a p t e r 3 | U N O Q f o r M a k e r s
The hybrid approach of the UNO Q specifically
facilitates this speed by enabling users to
offload heavy connectivity and web-based user-
interface tasks to the microprocessor while the
microcontroller manages the deterministic state. By
strategically separating tasks, UNO Q ensures that
computationally intensive tasks don't interfere with
the controller's time-sensitive looping operations.
Ultimately, reliable access to AI-capable hardware
significantly expands the scope of what personal
and small-team projects can achieve. Makers can
now integrate advanced features, such as voice
recognition and computer vision into their designs
using standard off-the-shelf components like
USB microphones and webcams. Using prebuilt
examples, even non-programmers can create
sophisticated applications, such as voice-controlled
interfaces, in just a few hours. And, since the
platform is compatible with existing shields and
carrier boards, makers can simply reuse legacy
hardware from previous projects while adding
modern AI capabilities.
Cory Hisey
Embedded Software Developer
16
From Blink to Think: How Arduino UNO Q Helps Designers Go from Idea to Intelligent Product
