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Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Fusion HAT+ Review – Adding AI voice and servo/motor control to Raspberry Pi for robotics, Smart Home, or education

Fusion HAT+ Review – Adding AI voice and servo/motor control to Raspberry Pi for robotics, Smart Home, or education

Fusion HAT+ review LLM servo control camera

SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control using audio interactions with its built-in microphone and speaker, as well as LLM models. It can be used as an AI-enabled robot controller, a smart home hub, a voice assistant, or an interactive learning platform. In this review, after an unboxing and going through the installation of the Fusion HAT+ on a Raspberry Pi 5 2GB, I’ll mainly focus on the voice interaction part using text-to-speech (TTS), speech-to-text (STT), and local and cloud-based LLMs and VLMs, and also quickly test servo control to wave a flag using voice commands. SunFounder Fusion HAT+ unboxing I received the sample in the retail package reading “SunFounder Fusion HAT+ for Raspberry Pi” and detailing the key features, namely rechargeable battery, 12x PWM, onboard speaker and microphone, 4x 12-bit ADC, safe shutdown, 4x DC […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on MaixCAM2 modular 4K AI camera is based on Axera AX630 SoC with 3.2 TOPS NPU (Crowdfunding)

MaixCAM2 modular 4K AI camera is based on Axera AX630 SoC with 3.2 TOPS NPU (Crowdfunding)

MaixCAM2

Designed for makers and researchers, Sipeed’s MaixCAM2 is a modular AI camera built around an Axera AX630 AI SoC with 3.2 TOPS (INT8) to 12.8 TOPS (INT4) of AI performance, yet delivering 10 to 20x higher performance on OpenMV-N6 and Raspberry Pi 5, and about the same performance (140 FPS) as a 33 TOPS Jetson Orin Nano 4GB Super in YOLO11n. The camera comes with 1GB or 4GB RAM, a 32GB eMMC flash, and a microSD card slot for storage, a 2.4-inch touchscreen display, and an 8MP / 4Kp30 camera sensor with LED flash, as well as two microphones and a speaker, making it suitable for local LLM and VLM applications.  It also features two PMOD connectors for expansion, such as a thermal imager and a Time of Flight (ToF) ranging sensor. MaxiCAM2 specifications: SoC – Axera Tech AX630 CPU Dual-core Arm Cortex-A53 @ 1.2 GHz running Ubuntu Linux 32-bit […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Arduino UNO Q 4GB board with 4GB RAM, 32GB storage is now available for $59

Arduino UNO Q 4GB board with 4GB RAM, 32GB storage is now available for $59

Arduino UNO-Q 4GB

When the Arduino UNO Q was first unveiled in October 2025, the specifications of the Qualcomm DragonWing SBC listed the ABX00162 SKU with 2GB RAM and 16GB eMMC flash, and the ABX00173 SKU with 4GB RAM and 32GB eMMC flash. So far, only the 2GB variant was available, and Arduino has now announced the availability of the Arduino UNO Q 4GB with 4GB of RAM and 32GB eMMC storage for more complex projects. Arduino UNO Q 4GB (ABX00173) specifications: Application SoC/MPU – Qualcomm QRB2210 CPU – Quad-core Cortex-A53 processor at up to 2.0 GHz GPU – Adreno 702 GPU at 845 MHz with support for OpenGL ES 3.1, Vulkan 1.1, OpenCL 2.0 DSP – Hexagon QDSP6 v66 VPU – 1080p 30 fps encode / 1080p 30fps decode ISP – 2x Image Signal Processor (13 MP + 13 MP or 25 MP) @ 30 fps Real-time MCU – STMicro STM32U585 Arm Cortex-M33 microcontroller […]

Posted on by Debashis Das - 2 Comments on Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Jetson Orin Nano AI learning kit

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]

Posted on by Debashis Das - No Comments on Cerelog ESP-EEG – A low-cost ESP32-based EEG acquisition board for brain computer interface (BCI) experiments

Cerelog ESP-EEG – A low-cost ESP32-based EEG acquisition board for brain computer interface (BCI) experiments

Cerelog ESP EEG ESP32 EEG acquisition board

The Cerelog ESP-EEG is an 8-channel, low-cost brain computer interface (BCI) circuit board built around the ESP32 MCU and designed for EEG data acquisition. The board supports 8-channel, 24-bit EEG data collection and connects to a host system over USB-C for both power and data. The board has an active noise-removal bias pin which reduces mains interference, along with onboard status LEDs, including a dedicated indicator for active data capture. It works with third-party or DIY EEG headsets using adapter boards, and STL files are provided for 3D printed mounts. Cerelog also offers various software tools and sample code to enable real-time EEG visualization, BCI experiments, neurofeedback, and custom brain-controlled applications. Cerelog ESP-EEG specifications: Wireless Module – ESP32-WROOM-32 SoC – ESP32 CPU – Dual-core processor @ 160 MHz Memory  – 520 KB SRAM Wireless WiFi 802.11 b/g/n, Bluetooth 4.2 Storage – 4 MB flash PCB antenna Analog Front-End (via TI’s […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards

CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards

CrowPi 3 AI Learning platform

Elecrow CrowPi 3 is the latest CrowPi learning and development kit featuring 41 built-in modules and over 150 lessons, and offering compatibility with Raspberry Pi 5, Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico single board computers and development boards. It follows the CrowPi portable learning kit (Raspberry Pi 3B+/Zero), CrowPi 2 Raspberry Pi 4 electronics learning laptop, and CrowPi L laptop (Raspberry Pi 4 models), but the CrowPi 3 is the first to focus on Artificial Intelligence (AI) learning with a Raspberry Pi 5 and support for LLMs like DeepSeek, Google Gemini, and OpenAI chat besides courses about electronics and computer vision. CrowPi 3 specifications: Compatible boards Raspberry Pi 5 (required) – Broadcom BCM2712 quad-core Arm Cortex-A76, up to 2.4GHz, 4GB or 8GB RAM. OS: Raspberry Pi OS (Debian Linux) or others Optional via headers or slots Arduino Nano Raspberry Pi Pico 1/1 W/2/2 W  BBC micro:bit Display – […]

Posted on by Debashis Das - No Comments on 52Pi UPS Gen 6 UPS for Raspberry Pi 4/5 supports up to 4x external battery packs, PikaPython scripting 

52Pi UPS Gen 6 UPS for Raspberry Pi 4/5 supports up to 4x external battery packs, PikaPython scripting 

Rapsberry Pi 5 UPS with four external battery packs

The 52Pi UPS Gen 6 is another UPS solution for the Raspberry Pi 5 that supports external battery packs for long-duration projects, and uses I²C plus PikaPython scripting to manage power settings and safe shutdowns. Designed for the Raspberry Pi 5 and 4B, the module mounts on the bottom of the board and delivers power via pogo pins. It also includes an aluminum heatsink with an automatic fan for cooling. It runs on two 18650 batteries, which can be mounted to the Pi with spacers, and there is an option to add three more battery packs in parallel if you need longer runtime. The board also features a physical power button for manual control, a 12V power interface for SATA hard drives, and switching hardware (bumpless power transfer) that instantly falls back to battery power so the system stays on during a power outage. 52Pi UPS Gen 6 specifications: Main […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)

Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)

Quarky Intellio rover car robot

Quarky Intellio is an ESP32-S3-based development kit designed as an educational platform for learning AI, Augmented Reality (AR), and IoT concepts. It is compatible with LEGO bricks and targets users aged 10 and older. The core AI-AR module features an SPI TFT display interface, a 5MP camera, a speaker and microphone, a microSD card slot for data storage, a USB-C port for programming and charging, servo and GPIO expansion ports, and a 1,000 mAh battery. The company offers a discovery kit with the core module only as well as a rover car kit, and since it’s compatible with LEGO, users can easily create their own robot. Quarky Intellio specifications: Core module – Espressif Systems ESP32-S3-WROOM-1-N16R8 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM (SiP) Storage – 384KB ROM Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE Storage – 16MB flash […]