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Manufacturer: Nuvoton
MPN: NuMaker-GestureAI-M55M1

• Concept: AI microcontroller and evaluation platform for endpoint AI applications focused on recognition, audio, and sensor fusion
• Configuration: Based on NuMicro M55M1 with Arm® Cortex®-M55 up to 220 MHz, Arm Ethos™-U55 NPU, up to 110 GOPS, Helium, DSP extensions, and double-precision FPU
• Use case: Suitable for human presence detection, robotics, smart toys, sensor hubs, smart appliances, PC accessories, and AIoT designs
• Development focus: Local AI acceleration, fast signal evaluation, and practical development for audio, communications, DSP, machine learning, and embedded vision workflows
• Design note: Align memory requirements, camera path, audio front end, low-power operation, and security architecture with the target application before release

• Dual-brain architecture: Qualcomm Dragonwing™ IQ8 (QCS8275) + STM32H5F5 for deterministic real-time actuation
• AI compute: Hexagon Tensor AI Processor (NPU) with up to 40 Dense TOPS
• Memory & storage: 16GB LPDDR5 (2×8GB) + 64GB eMMC, M.2 NVMe Gen4 expansion
• Connectivity: Wi-Fi® 6 (2.4/5/6 GHz), Bluetooth® 5.3, 2.5Gbit Ethernet
• Adapter-free I/O: USB-C (host/device + DP Alt Mode video), 2× USB 3.0 Type-A, HDMI, MIPI CSI / MIPI DSI via carrier headers
• Industrial/robotics I/O: CAN-FD (PHY on screw terminal) plus additional CAN-FD lines via headers, JOMEGA expansion
• Ecosystem: Raspberry Pi® HATs (40-pin), Arduino® UNO shields/carriers, Qwiic/Modulino® + 8×13 LED matrix
• Software: Linux (Debian/Ubuntu), Arduino Core on Zephyr OS, Docker/Docker Compose, Arduino App Lab

• Concept: All-in-one video bar for video conferencing in small and medium-sized meeting rooms
• Configuration: Based on Qualcomm® QCS6490 with a dual-camera director system, 8-DMIC array, stereo speakers, and HDMI/DP-based room integration
• Use case: Suitable for meeting rooms requiring auto-framing, speaker focus, people counting, dual-display operation, and BYOD workflows
• Development focus: Consolidated audio/video/AI conferencing platform for MTR-bar concepts, room intelligence, and simplified integration into professional conferencing setups
• Design note: Validate BYOD behavior, DP/HDMI signal paths, Microsoft-Teams-related workflows, network/Wi-Fi design, and mounting concept against the target environment before rollout

• Concept: USB-C cable for data and connectivity tasks between Arduino hardware and host/programming devices
• Configuration: Listed as a 24-PIN USB-C CABLE from Arduino; positioned as a specialized cable connection for development environments
• Use case: Suitable for programming, bring-up, and workstation cabling in Arduino and embedded setups
• Development focus: Consistent, repeatable board-to-host connectivity in lab, test, and demo environments
• Design note: Verify connector configuration, data role, charging/data behavior, and any adapter or host requirements against manufacturer documentation before design-in

• Concept: External USB-C power adapter for powering Arduino-related development and workstation setups
• Configuration: Listed as an AC/DC External Adapter Input from Arduino; described in distributor channels as a 36W Power Supply
• Use case: Suitable for lab, test, and evaluation environments that require a separate external power source
• Development focus: Repeatable power delivery for demonstrators, engineering benches, and technical validation setups
• Design note: Verify output voltage, output current, USB-C PD profiles, and regional plug/cable format against manufacturer documentation before design-in

• Concept: External USB-C power adapter for powering Arduino-related development and workstation setups
• Configuration: Listed as an AC/DC External Adapter Input from Arduino; described in distributor channels as a 36W Power Supply
• Use case: Suitable for lab, test, and evaluation environments that require a separate external power source
• Development focus: Repeatable power delivery for demonstrators, engineering benches, and technical validation setups
• Design note: Verify output voltage, output current, USB-C PD profiles, and regional plug/cable format against manufacturer documentation before design-in

• Concept: USB-C hub for extending a USB-C host with additional I/O and peripheral connectivity
• Configuration: Listed as an 8 in 1 USB-C dongle from Arduino; suitable as a compact connectivity expansion for desktop, lab, or mobile setups
• Use case: For development workstations and evaluation environments where multiple peripherals need to be connected in parallel to a USB-C-based system
• Development focus: Faster reproduction of test and demo setups through centralized host-side connection of external devices
• Design note: Verify exact port configuration, data rates, video features, and power-delivery capability against manufacturer documentation before design-in

• Dual-brain architecture: Linux-capable MPU + real-time MCU on one board
• Qualcomm® Dragonwing™ QRB2210 (quad-core Arm® Cortex®-A53 @ 2.0 GHz) + STM32U585 (Arm® Cortex®-M33 up to 160 MHz)
• 4GB LPDDR4 and 32GB eMMC (no SD card required) – recommended for SBC mode and more advanced AI use cases
• Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1 with onboard antennas
• USB-C with host/device role switching and video output; connect USB peripherals via dongle
• Arduino UNO ecosystem compatible: classic UNO headers, high-speed headers, and Qwiic expansion
• Arduino App Lab: unified workflow for Arduino Sketches, Python®, and containerized AI models
• 8×13 LED matrix + RGB LEDs for visual feedback and UI prototyping

Manufacturer: Arduino
MPN: ABX00162

• Hybrid platform with Qualcomm® Dragonwing™ QRB2210 MPU and STM32U585 real-time MCU
• 2GB LPDDR4 RAM and 16GB eMMC for Linux-based embedded and edge AI projects
• Arduino UNO compatible with classic UNO shields, new carriers, and Qwiic expansion
• AI, vision, and audio capabilities for object recognition, voice commands, motion detection, and more
• Arduino App Lab for unified development using Arduino Sketches, Python®, and preloaded AI models
• Wi-Fi® 5, Bluetooth® 5.1, USB-C, LED matrix, and high-speed headers for versatile prototyping and product development tasks

• Drone Reference Platform (DRP) to accelerate development, validation, testing, and prototyping of UAV designs
• Based on Lantronix Open-Q™ 8550CS µSOM with Qualcomm® Dragonwing™ QCS8550
• Flight-ready with Pixhawk 6X flight controller and PX4 support
• Advanced AI vision with FLIR Hadron 640R thermal camera + on-device AI for detection/tracking
• SWaP-optimized (size, weight & power) for UAV applications
• Linux Yocto and Qualcomm Hexagon™ Tensor Processor (HTP) for on-device AI
• Multiple MIPI cameras and multiple wireless connectivity options

• Local edge AI processing for real-time video, sensor, and automation workloads without cloud dependency
• 8-core Qualcomm® Kryo 670 CPU with up to 8GB LPDDR5 RAM
• Broad connectivity including 5G/LTE, Wi-Fi 6, Bluetooth 5.2, and multi-constellation GNSS
• Advanced vision support with dual 4-lane MIPI CSI camera inputs and 4K video encode/decode
• Rugged design for extreme operating temperatures from -30°C to 105°C
• Flexible storage and I/O with 128GB UFS 3.1, M.2 SSD support, and RS232/RS485

• PoE dome camera for network-based monitoring in residential, commercial, and industrial environments
• Humanoid detection for up to 5 people with a stated detection ratio of ≥99%
• 5MP low-illumination sensor combined with 3D DNR and D-WDR
• Dual-light night vision with IR and warm light control plus adjustable brightness
• H.265, HTTPS, and AES for efficient and secure video streaming
• Operating range from -15°C to 50°C with support for fixed or varifocal lenses

• 3MP sensor for detailed high-definition video capture
• PoE connectivity for power and data over a single cable
• Optimized for outdoor use and perimeter monitoring
• Extended IR night vision for clear visibility in complete darkness
• Reliable continuous operation for modern security infrastructures