# Arduino showcases six Halloween projects featuring VENTUNO Q edge AI and UNO R4

> **Key takeaway:** Arduino's seasonal project roundup highlights the VENTUNO Q board running vision-language models entirely offline, alongside builds using the UNO R4, Mega 2560, and ATtiny85V.

**Published:** 2026-10-29T16:08:32+00:00 
**Source:** Arduino Official Blog 
**Category:** open-hardware 
**Canonical URL:** https://fosswire.org/news/arduino-showcases-six-halloween-projects-featuring-ventuno-q.html 

## Summary
Arduino has published a curated collection of six Halloween-themed maker projects demonstrating current and legacy hardware across its ecosystem. The standout build, 'Spooky, Sassy Pumpkin,' employs the VENTUNO Q board with dual processing capability to run a USB webcam and the Arduino App Lab Vision-Language Model Brick for on-device, offline visitor interaction without cloud dependency. Other featured projects span the UNO R4 WiFi in the Plug and Make Kit with Modulino sensors, the classic Mega 2560 in a remote-controlled robot build, and the low-power ATtiny85V programmed through the Arduino IDE for a costume prop.

The roundup serves as both seasonal community engagement and implicit product positioning, showcasing how Arduino's tiered hardware lineup addresses different complexity levels from simple sensor-actuator loops to edge AI inference. Several projects emphasize non-destructive modification of commercial products and cloud-connected monitoring, reflecting current maker practices around interoperability and remote management.

## Hardware platforms and technical approaches
- **VENTUNO Q edge AI:** The 'Spooky, Sassy Pumpkin' uses the dual-brain VENTUNO Q to process USB webcam input through the Arduino App Lab Vision-Language Model Brick entirely on-device, with no network transmission of facial or voice data.
- **UNO R4 WiFi and Modulino ecosystem:** The Plug and Make Kit build pairs the UNO R4 with a DFRobot DFPlayer MP3 module and Modulino Distance sensor, leveraging built-in Wi-Fi for Arduino Cloud remote activation and monitoring.
- **ATtiny85V ultra-low-power control:** The Portal Sentry Turret costume uses the ATtiny85V microcontroller with a GD380D-M audio playback module, programmed via Arduino IDE, demonstrating 8-bit AVR suitability for simple interactive props.
- **Multi-controller robotics:** The T-1-7 Warrior Robot employs an Arduino Mega 2560 for command processing from a remote control, with distributed ATmega328 chips handling subsystems for lights, gun movement, and head articulation.
- **Sensor-actuator feedback loop:** The Ultrasonic Spider build combines a standard servo with an HC-SR04-style ultrasonic sensor for proximity-triggered action at approximately 40cm, using a continuous rotation servo for automatic reset.

## Why it matters
Arduino's project curation reinforces its position as the default entry point for embedded systems education and hobbyist prototyping, while the VENTUNO Q's offline VLM capability signals growing competition in the accessible edge AI space against Raspberry Pi and NVIDIA Jetson platforms. The emphasis on cloud-optional operation and Arduino Cloud integration reflects a dual strategy addressing both privacy-conscious makers and IoT service revenue, with implications for how open hardware documentation standards evolve around AI model deployment on resource-constrained devices.