• New
Main view
search
  • Main view
  • Board and a box
ID: 1208929
7630049205949
zł1,399.00
Tax included

zł1,137.40 tax excl.

Edge AI computer for advanced artificial intelligence, robotics, automation and machine vision projects, using a Dual-Brain architecture with a Qualcomm Dragonwing IQ8 processor and an STM32H5F5 real-time microcontroller. It offers a Hexagon AI accelerator with performance of up to 40 dense TOPS, 16 GB of LPDDR5 memory and 64 GB of eMMC storage, as well as WiFi 6, Bluetooth 5.3 and 2.5 Gb/s Ethernet. Three MIPI CSI connectors support camera integration, while HDMI, USB 3.0, CAN-FD, Qwiic, M.2 NVMe, Arduino UNO Shield connectors and a 40-pin Raspberry Pi HAT header support the development of advanced Edge AI systems. Arduino ABX00181 VENTUNO Q

24h
Available
Available quantity: 23
Kamami is the official distributor of Arduino development kits and accessories. All boards of this brand in our offer are original and come directly from the manufacturer.

Description

The Edge AI computer combines a Qualcomm Dragonwing IQ8 QCS8275 application processor with an STM32H5F5 real-time microcontroller, allowing compute-intensive tasks to run in parallel with precise control of inputs, motors and actuators. The octa-core Qualcomm Kryo processor operates at up to 2.36 GHz, while the Hexagon Tensor AI Processor, Adreno 623 GPU and Adreno VPU 623 provide hardware acceleration for AI, graphics and video processing. The STM32H5F5 microcontroller uses an Arm Cortex-M33 core running at up to 250 MHz, 4 MB of Flash memory and 1.5 MB of RAM, and runs Arduino Core on Zephyr. Both processors communicate through Arduino Bridge using an RPC mechanism.

The ABX00181 configuration includes 16 GB of LPDDR5 memory and 64 GB of built-in eMMC storage for the operating system and data. The application processor runs Ubuntu Linux, while the documentation also anticipates Debian support. The M.2 Key M 2230 connector enables storage expansion using an NVMe Gen 4 drive connected to the processor through four PCIe Gen 4 lanes. VENTUNO Q can be used as a platform for local LLM and VLM models, vision systems, autonomous robots, motion control, industrial monitoring, automated inspection, and research and education projects.

p1208929-ARDUINO%20VENTUNO%20Q%20%20DUAL%20BRAIN%201.png

Dual-Brain architecture - AI and real-time control - Qualcomm Dragonwing IQ8 QCS8275 handles Linux, AI processing, multimedia and high-speed interfaces, while STM32H5F5 performs tasks requiring predictable response times. The MCU handles functions including ADC, PWM, timers, the LED matrix, RGB LEDs and CAN-FD interfaces. Separating high-level computing from real-time control enables local image analysis or language models to run without sacrificing fast control of drives, sensors and industrial equipment.

Communication between the processors is handled by Arduino Bridge with an RPC layer, enabling service calls between the Linux environment and the program running on the microcontroller. Software running on the STM32 side can use Linux services, while applications running on the Qualcomm processor can exchange data with the circuit responsible for inputs and outputs.

AI acceleration up to 40 dense TOPS - The Hexagon Tensor AI Processor provides performance of up to 40 dense TOPS for local execution of neural networks, LLMs, VLMs and advanced computer vision algorithms. The accelerator works with Qualcomm AI Stack, while the documentation indicates support for models prepared using TensorFlow Lite, ONNX Runtime and PyTorch. Integration with Edge Impulse Studio supports deployment of custom Edge AI models.

The Adreno 623 GPU provides hardware acceleration for 3D graphics and GPGPU computing, while the Adreno VPU 623 supports hardware video processing. The Qualcomm Spectra 692 ISP handles the imaging pipeline used in vision applications. The combined computing resources support systems for object detection and classification, Visual SLAM, local AI assistants, quality control and autonomous mobile platforms.

Three MIPI CSI connectors enable simultaneous connection of three cameras in the standard board configuration. Each connector uses a 22-pin FPC interface and supports MIPI CSI-2 cameras with up to four data lanes. USB cameras can also be connected through USB Type-A or USB Type-C ports.

Video output is provided through HDMI and DisplayPort Alt Mode over USB Type-C. MIPI DSI lines are also available on the JMEDIA connector, while HDMI and MIPI DSI operation share the corresponding lines. The configuration supports standalone vision systems with a local monitor, unattended network-connected applications and devices using multiple cameras to observe the surrounding environment.

p1208929-ARDUINO%20VENTUNO%20Q.png
p1208929-WI%20-%20FI.png

WiFi 6, Bluetooth 5.3 and 2.5 Gb/s Ethernet -  Wireless connectivity includes tri-band WiFi 6 operating in the 2.4 GHz, 5 GHz and 6 GHz bands, together with Bluetooth 5.3. The WiFi module uses two built-in antennas, while Bluetooth has a dedicated onboard antenna. Wired communication is provided by an RJ45 Ethernet port with a throughput of 2.5 Gb/s.

High-speed network connections support transmission of camera data, communication with services running on the local network, headless operation and integration of VENTUNO Q with robotic and industrial infrastructure. The platform can operate locally without cloud access, which is useful in applications requiring low latency or data processing directly at the source.

USB 3.0, HDMI, M.2 NVMe and audio interfaces - The USB Type-C port supports host/device roles, USB Power Delivery and DisplayPort Alt Mode video output. The board also includes two USB 3.0 Type-A ports, while two additional USB 3.0 interfaces are available through the JOMEGA connector. When DisplayPort Alt Mode is active, the high-speed USB-C lanes are switched to video output and USB data transmission through the USB-C port is reduced to USB 2.0 speed.

Built-in MAX98091 audio codec - The codec provides microphone input as well as line, headphone and speaker outputs through expansion connectors. VENTUNO Q can therefore handle local speech recognition, audio synthesis, voice assistant and audio interface applications without requiring a separate computer.

Arduino UNO Shield, Raspberry Pi HAT and Qwiic - The connectors retain the mechanical Arduino UNO Shield layout, allowing the use of many expansions designed for the UNO form factor. The logic level of the standard MCU connectors is 3.3 V, while most digital inputs tolerate 5 V. Analog inputs A0 and A1 are not 5 V tolerant and require signals within the 3.3 V input range.

p1208929-Arduino%20VENTUNO%20Q%204.png
p1208929-CAN%20FD.png

The additional 40-pin JHAT connector maintains compatibility with Raspberry Pi HAT mechanics and logic levels, while level translators convert Qualcomm processor signals from the 1.8 V domain to 3.3 V. The Qwiic connector provides a 3.3 V I2C bus for connecting Arduino Modulino modules and compatible sensors. The design also includes extended JOMEGA, JMEDIA, JMISC and JCTL connectors for additional interfaces, multimedia and debugging.

CAN-FD for robotics and automation - The board includes one CAN-FD interface with a physical transceiver routed to a screw terminal. CAN-H and CAN-L lines include TVS protection, while the bus uses built-in split termination. Three additional CAN-FD interfaces without a physical layer are available on JOMEGA, and another interface without a transceiver is routed to the UNO Shield connectors.

CAN-FD support through STM32H5F5 allows integration with drives, controllers, industrial equipment and robotic systems requiring deterministic data exchange. The integrated transceiver on the main CAN port reduces the number of additional components required during prototyping.

Arduino App Lab and Linux environment - Arduino App Lab combines Arduino programming, Python, Linux and Edge AI within a single environment. A project can contain a Python script running on the Qualcomm processor, a classic Arduino Sketch executed by STM32H5F5 and additional Bricks running on the Linux side. Bricks include prepared services, AI models, user interfaces, databases and network integrations.

VENTUNO Q can operate in several configurations - Arduino App Lab can run directly on the board after connecting a monitor, keyboard and mouse, can be accessed from a computer through USB or a network connection, or can be used in headless mode over WiFi or Ethernet. Standard Linux tools also remain available, including VS Code, custom IDEs, Docker and the apt package manager.

LED matrix and user interface elements - The built-in blue 8 x 13 LED matrix consists of 104 points and is controlled directly by STM32H5F5. During Linux startup it can display a boot animation, and after the application starts it remains available as a programmable interface element. Four independent RGB LEDs can indicate application status, communication activity or events.

p1208929-0bb1bbb0-5416-47e4-a6d6-6f9f90106b73.png
p1208929-11c5d449-dd14-4674-abd6-8106308df1b9.png

Flexible USB-C PD and 7-24 V DC power supply - Power can be supplied through USB Type-C with Power Delivery in the 9-20 V range, through a 5.5 x 2.1 mm DC connector in the 7-24 V range, or through a 7-24 V screw terminal. USB-C supports up to 3 A, the DC connector up to 5 A, and the screw terminal input up to 10 A. The power system uses TVS protection as well as reverse-polarity and reverse-current protection.

For applications involving intensive AI workloads, USB devices and Arduino or Raspberry Pi expansions, the manufacturer recommends providing sufficient power headroom. The documentation indicates a power supply rated at least 60 W for demanding configurations and gives 12 V / 5 A or 24 V / 3 A as examples when powering through the DC connector.

The board measures 160 x 100 x 25.8 mm without including the SoM heatsink and fan. Mounting holes support installation on standoffs and integration with enclosures and mechanical structures. The UNO connector format and 40-pin JHAT simplify the use of ready-made expansion boards.

VENTUNO Q can operate in temperatures from -10°C to 60°C. The platform is designed for local AI systems, autonomous and mobile robots, robotic arms, Visual SLAM systems, predictive maintenance, infrastructure monitoring, quality control, smart buildings, smart city applications and research and educational workstations.

Features

  • Application processor and AI
    • Qualcomm Dragonwing IQ8 QCS8275
    • Octa-core Qualcomm Kryo Gen 6 processor
    • CPU clock speed up to 2.36 GHz
    • Hexagon Tensor AI Processor accelerator
    • AI performance up to 40 dense TOPS
    • Qualcomm Adreno 623 GPU
    • Adreno 623 VPU
    • Qualcomm Spectra 692 ISP
    • Support for local LLM and VLM models
    • Support for TensorFlow Lite, ONNX Runtime and PyTorch
    • Integration with Qualcomm AI Stack and Edge Impulse Studio
  • Real-time microcontroller
    • STM32H5F5
    • Arm Cortex-M33 core
    • Clock speed up to 250 MHz
    • 4 MB Flash memory
    • 1.5 MB RAM
    • Arduino Core on Zephyr OS
    • ADC, PWM, timer and GPIO support
    • Communication with the Qualcomm processor through Arduino Bridge RPC
  • Memory and system
    • 16 GB LPDDR5 RAM in a 2 x 8 GB configuration
    • Built-in 64 GB eMMC storage
    • Ubuntu Linux
    • Debian Linux support
    • M.2 Key M 2230 connector
    • NVMe Gen 4 support
    • M.2 connection through PCIe Gen 4 x4
    • System cannot be booted from the M.2 drive
  • Connectivity
    • WiFi 6
    • 2.4 GHz, 5 GHz and 6 GHz WiFi bands
    • Two built-in WiFi antennas
    • Bluetooth 5.3
    • Built-in Bluetooth antenna
    • 2.5 Gb/s Ethernet
    • RJ45 connector
  • USB and video
    • 1 x USB Type-C
    • USB Type-C host/device support
    • USB Power Delivery
    • DisplayPort Alt Mode over USB Type-C
    • 2 x USB 3.0 Type-A
    • 2 x USB 3.0 on the JOMEGA connector
    • HDMI output
    • MIPI DSI on the JMEDIA connector
  • Cameras
    • 3 x MIPI CSI connector
    • 22-pin FPC connectors
    • MIPI CSI-2 camera support
    • Up to 4 MIPI CSI lanes per connector
    • USB camera support
    • Additional MIPI CSI lines on JMEDIA
  • CAN-FD
    • 1 x CAN-FD with transceiver on a screw terminal
    • TVS protection for CAN-H and CAN-L lines
    • Built-in split termination
    • 3 x CAN-FD without transceiver on JOMEGA
    • 1 x CAN-FD without transceiver on the UNO Shield connector
  • Expansion connectors
    • Arduino UNO Shield connectors
    • 3.3 V MCU logic
    • Most digital inputs are 5 V tolerant
    • 40-pin Raspberry Pi HAT connector
    • 3.3 V JHAT logic with level translators
    • 3.3 V Qwiic I2C connector
    • JOMEGA, JMEDIA and JMISC connectors
    • JCTL debugging connector
  • Interfaces
    • I2C
    • I3C
    • SPI
    • UART
    • PWM
    • GPIO
    • JTAG
  • Audio interfaces
    • Microphone input
    • Stereo headphone output
    • Line output
    • Speaker output
  • User interface elements
    • Blue 8 x 13 LED matrix
    • 104 LEDs
    • 4 programmable RGB LEDs
    • User button
    • Reset / boot control button
    • Power LED
    • USB-C PD fault indicator LED
  • Power supply
    • USB-C PD 9-20 V, up to 3 A
    • 5.5 x 2.1 mm DC connector: 7-24 V, up to 5 A
    • Screw terminal: 7-24 V, up to 10 A
    • Reverse-polarity protection
    • Reverse-current protection
    • TVS protection
    • Power supply rated at least 60 W recommended under high load
  • Mechanical parameters
    • Dimensions: 160 x 100 x 25.8 mm
    • Operating temperature: -10°C to 60°C
    • Mounting holes in the corners
    • Raspberry Pi HAT-compatible mounting points
    • M.2 2230 mounting point

Kit includes

  • Arduino VENTUNO Q ABX00181 board
  • 4 x M3 hex standoff
  • 4 x M3 nut
1208929

Data sheet

Microcontroller
STM32H5F5
Core
Cortex-M33
Frequency
250 MHz
Flash memory
64 GB
RAM
16 GB
EEPROM memory
none
Number of digital pins
Other
Number of PWM channels
Other
Ilość wejść analogowych
Other
ADC
3x 12bit
DAC
none
CAN
5
USB
5
Ethernet
2500 Mb x1
WiFi/BT module
Yes
Bluetooth module
Yes
GSM/GPRS module
No
Logic voltage
3,3 V
MicroSD slot
No
Supply voltage min
5 V
Supply voltages max
24 V

Manufacturer

  • BTC Korporacja sp. z o. o.
  • Ludwinowo Zegrzyńskie 52G
  • 05-140 Ludwinowo Zegrzyńskie
  • Poland
  • [email protected]
  • 22 767 36 20

Other products in the same category (16)