https://community.element14.com/challenges-projects/project14/Monthly Electronics & Design Project Competitions. Build projects around themes, submit video proof, and win free products regardless of level of expertise.en-USTelligent Community 12https://community.element14.com/challenges-projects/project14/m/managed-videos/151829Wed, 23 Sep 2026 07:52:00 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:3aa2c068-8669-49bc-83a3-6a51eca8cf0celement14 Communityhttps://community.element14.com/challenges-projects/project14/b/make-a-connection/posts/gestu-gesture-communication-with-arduino-uno-q-71140393Wed, 23 Sep 2026 07:51:00 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:3023be18-d113-4dde-8c4b-437d3ea226bbshogunx. Project 14: Smart Gesture Communication establishes an advanced, low-latency bridge between human movement and digital expression using the next-generation Arduino UNO Q . Designed as an accessible assistive technology and intuitive machine-to-machine interface, this project eliminates traditional physical input barriers by transforming complex hand movements into immediate textual or operational commands. System Architecture & Hardware Integration The entire ecosystem is powered by a single, high-performance hybrid hardware platform, eliminating the need for bulky multi-board communication networks: Visual Capture: A standard high-definition USB webcam is connected directly to the board's USB-C host port, streaming raw video data in real time. Qualcomm Dragonwing ™ microprocessor: Edge AI Processing: The onboard Qualcomm Dragonwing ™ microprocessor running a Debian-based Linux environment ingests the video feed. Leveraging its built-in hardware acceleration, it runs an optimized machine learning model capable of recognizing 30 unique, highly distinct gestures—ranging from alphanumeric characters to custom command macros. STM32 real-time microcontroller: Deterministic Control: Once a gesture is successfully recognized by the Qualcomm Linux environment, the data string is routed internally via the Arduino Bridge RPC layer to the co-integrated STM32 real-time microcontroller . STM32 microcontroller: Visual Interface: The STM32 microcontroller instantly handles the hardware-level timing to drive a 1.8-inch TFT display wired directly to the classic UNO pin headers, ensuring instantaneous visual feedback. Flexible Recognition & Dynamic Translation What makes this system exceptionally robust is its versatile vocabulary. The machine learning model is trained to dynamically classify any gesture the user presents within its trained library. Whether it is a subtle finger movement, a complex directional sign, or a custom-mapped hand pose, the system treats all 30 gestures with equal priority and high confidence. As soon as a gesture is executed, the 1.8-inch TFT display refreshes to display the translated phrase or system action. By unifying Qualcomm's powerful edge computing with real-time embedded control on a single unified PCB, this architecture delivers a highly portable, highly responsive, and completely self-contained communication solution. Thank you Video: community.element14.com/.../5315.PXL_5F00_20260923_5F00_072524441.mp4arduino uno qproject14make a connectionwebcamarduinohttps://community.element14.com/challenges-projects/project14/m/managed-videos/151825Tue, 22 Sep 2026 18:23:00 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:2cd874ad-0ab5-413d-b52b-de3320ab860bembeddedguy