WAVESHARE For Arduino VENTUNO Q Edge AI Computer Qualcomm And STM32 Dual Architecture, 40 Dense TOPS, Extensive Industrial / Robotics Expansion Options

1. Microprocessor (MPU): Qualcomm Dragonwing IQ8 (QCS8275); octa-core Arm Cortex CPU; Adreno 623 GPU; Adreno VPU 623; Hexagon NPU; Qualcomm Spectra 692 ISP 2. AI Acceleration: Hexagon Tensor AI Processor, up to 40 dense TOPS 3. Microcontroller (MCU): STM32H5F5, Arm Cortex-M33, up to 250 MHz; 4 MB Flash; 1.5 MB RAM 4. System: MPU pre-installed with Ubuntu Linux, with support for Debian; MCU based on Arduino Core running Zephyr OS 5. Memory / Storage: 16GB LPDDR5 (2 x 8GB) / 64GB eMMC 6. Expandable Storage: M.2 Key M 2230, PCIe Gen 4 x 4, NVMe-compatible; for expandable storage only; does not support booting from NVMe 7. Wireless Connectivity: Tri-band Wi-Fi 6 (2.4/5/6 GHz) with 2 onboard antennas; Bluetooth 5.3 with an onboard antenna 8. Wired Networking: 1 x 2.5 Gbit RJ45 Ethernet 9. USB: 1 x USB-C, supports host/device role switching, power delivery role switching, and video output; 2 x USB 3.0 Type-A; JOMEGA provides 2 USB 3.0 ports 10. Cameras: 3 x MIPI CSI interfaces; JMEDIA provides 2 multiplexed MIPI CSI channels; supports USB cameras 11. Video Output: 1 x HDMI; USB-C DisplayPort Alt Mode; JMEDIA MIPI DSI (shared with HDMI) 12. Audio: MAX98091 audio decoder; JMISC provides microphone input, stereo headphone output, mono speaker output, and line-out; JOMEGA provides microphone input 13. CAN-FD: 1 channel via terminal blocks with PHY; 3 channels via JOMEGA without PHY; 1 channel via UNO Shield header without PHY 14. On-board Interaction: 8 x 13 monochrome blue LED dot matrix; 4 user-programmable RGB LEDs; power indicator; USB-C PD fault indicator; user button; reset button 15. Power: USB-C PD: 9–20 V, up to 3 A; DC power connector: 7–24 V, up to 5 A; screw terminal blocks: 7–24 V, up to 10 A 16. Operating Temperature: -10 to +60 degrees Celsius 17. PCBA Dimensions: Approximately 16 x 10 x 2.58 cm (height excludes heat sink and fan) Dual-Architecture Design: 1. Processor: AI computing core uses Qualcomm Dragonwing IQ8 (QCS8275); real-time control core uses STM32H5F5 2. Key Resources: The AI computing core includes an octa-core Arm Cortex CPU, Adreno 623 GPU, Adreno VPU 623, Hexagon NPU, and Qualcomm Spectra 692 ISP; the real-time control core includes an Arm Cortex-M33 at 250 MHz, 4 MB of Flash, and 1.5 MB of RAM 3. Software System: The AI computing core runs Ubuntu Linux and also supports Debian; the real-time control core runs Arduino Core based on Zephyr OS 4. Primary Tasks: The AI computing core handles local AI, machine vision, network communication, multimedia processing, and Linux applications; the real-time control core handles real-time control of GPIO, PWM, CAN-FD, ADC, sensors, and actuators 5. Collaboration Method: Commands, status, and data are exchanged via the Arduino Bridge (RPC) Features: 1. MPU + MCU dual-processor architecture: The Qualcomm Dragonwing IQ8 (QCS8275) handles Linux, AI, vision, networking, and multimedia tasks; the STM32H5F5 MCU provides deterministic real-time I/O and control capabilities 2. Up to 40 dense TOPS of edge AI performance: The Hexagon NPU supports local execution of computer vision, speech processing, LLM/VLM, and multimodal applications. Onboard 16 GB LPDDR5 and 64 GB eMMC meet storage requirements for the system, models, and application data 3. Extensive expansion options for robotics and industrial control: Features tri-band Wi-Fi 6, Bluetooth 5.3, 2.5 Gbit RJ45, M.2 2230 NVMe, HDMI, three MIPI CSI lanes, CAN-FD, UNO Shield, 40-pin JHAT, and Qwiic interfaces, among others