artificial intelligence (AI)

Posted on by Debashis Das - 2 Comments on Firefly CAM-3576 series – Tiny Rockchip RK3576 SBCs for commercial, industrial, and automotive applications

Firefly CAM-3576 series – Tiny Rockchip RK3576 SBCs for commercial, industrial, and automotive applications

CAM 3576Q38 Mini AI SBC

Firefly Technology has introduced the CAM-3576 series of tiny (38 × 38 mm) SBCs based on the Rockchip RK3576 processor with a 6 TOPS NPU for AIoT, edge AI, smart vision, industrial, and automotive applications. It comes in three variants, which include the CAM-3576Q38 (commercial), the CAM-3576JQ38 (industrial), and the CAM-3576MQ38 (automotive) modules designed for smart cameras, intelligent security systems, dash cams, and private on-device AI model deployment. The CAM-3576 series supports up to 16GB of LPDDR5 RAM, up to 256GB eMMC flash, and also includes a microSD card for expansion. Additionally, the boards feature a MIPI CSI input for up to 16MP camera sensors with HDR support, Fast Ethernet, Wi-Fi 6, USB 2.0, USB-C (device), RS-485, UART, I²C, ADC, GPIOs, audio input/output, and RTC support. Firefly CAM-3576Q38 specifications: SoM – ICORE-3576Q38 SoC – Rockchip RK3576 (Q38 – Commercial) or Rockchip RK3576J (JQ38 – Industrial) or Rockchip RK3576M (MQ38 – Automotive) […]

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 - 1 Comment on Auvidea X242 – An NVIDIA Jetson Thor T5000 industrial carrier board with dual 10GbE, PCIe x16, CSI-2 camera support

Auvidea X242 – An NVIDIA Jetson Thor T5000 industrial carrier board with dual 10GbE, PCIe x16, CSI-2 camera support

Auvidea X242 Carrier Board

Auvidea X242 is an industrial carrier board for NVIDIA’s Jetson Thor T5000 module, targeting edge AI, robotics, vision, and high-bandwidth embedded systems, mainly in industrial and high-performance commercial applications. The board supports dual 10GbE, PCIe x16 expansion, NVMe storage, 4G LTE/5G M.2, up to four displays through HDMI and DisplayPort Alt Mode over USB-C (rev 3), and multiple cameras through a 16-lane CSI-2 camera connector. The carrier board supports a wide 24–48 V power input with power modes up to 120 W. Industrial features include hot-swap control, reverse and over-voltage protection, and backward compatibility with earlier Auvidea Jetson platforms. Auvidea X242 Specifications: Supported system-on-module – NVIDIA Jetson Thor T5000 Storage – M.2 Key M 2280 socket (PCIe x2 Gen 5) for NVMe SSD Video Output HDMI port Up to 3x USB-C with DisplayPort Alt Mode Up to 4x displays supported simultaneously Camera – 16-lane CSI-2 camera connector, compatible with NVIDIA […]

Posted on by Debashis Das - No Comments on Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx FCU3011 AI Edge Computing Box

Forlinx Embedded has recently released the FCU3011, a compact, fanless industrial AI edge computer built around the NVIDIA Jetson Orin Nano, designed for 24/7 operations in manufacturing, smart cities, robotics, and machine vision systems, where real-time processing is needed. The fanless system supports NVIDIA Jetson Orin Nano 4GB (34 TOPS) or 8GB (up to 67 TOPS) configurations, with 4GB/8GB LPDDR5 memory and a 128GB PCIe x4 NVMe SSD. Connectivity options include up to four Gigabit Ethernet ports, USB 3.0/2.0, HDMI 2.0 (4K), an SD card slot, optional 4G/5G and dual-band Wi-Fi via M.2 modules, along with industrial interfaces such as isolated RS-485, CAN, opto-isolated inputs, relay outputs, and an RTC. The system takes a wide 9–24V DC power input, features ESD-protected interfaces, and can be used for AGVs, visual inspection, smart factories, intelligent traffic analysis, medical devices, and small commercial robots. Forlinx FCU3011 specifications: SoM options NVIDIA Jetson Orin Nano […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Fanless Box PC features Intel Core Ultra 5/7/9 “Arrow Lake” CPU with up to 36 TOPS for Edge AI applications

Fanless Box PC features Intel Core Ultra 5/7/9 “Arrow Lake” CPU with up to 36 TOPS for Edge AI applications

AAEON BOXER-6648-ARS Fanless Arrow Lake Box PC

AAEON BOXER-6648-ARS is a powerful, yet fanless embedded Box PC equipped with the latest generation Intel Core Ultra 5/7/9 “Arrow Lake” CPU with up to 24 cores clocked at up to 5.6 GHz, 36 TOPS of AI performance, and 35W or 65W TDP. The embedded computer is offered with either an Intel H810  or Intel Q870 chipset, with the latter enabling Intel Active Management Technology (AMT) and 10 Gbps USB 3.2 Gen2 ports.  Other features include up to 96GB RAM, NVMe and SATA storage, dual HDMI video output, dual 2.5GbE, a Gigabit Ethernet port, optional WiFi and Bluetooth, a 10-pin terminal block, and up to six RS232/RS422/RS485 COM ports. AAEON BOXER-6648-ARS specifications: Arrow Lake SoC (one or the other) Intel Core Ultra 5 245 – 14-core (6P + 8E) processor up to 3.5 GHz / 5.1 GHz (Turbo), 26MB L2 cache, 4x Xe core graphics; TDP: 65W; AI: 29 TOPS […]

Posted on by Debashis Das - 4 Comments on ESP32-P4 learning and prototyping kit features 7-inch touchscreen, comes with 16 modules and AI lessons

ESP32-P4 learning and prototyping kit features 7-inch touchscreen, comes with 16 modules and AI lessons

Elecrow ESP32 P4 learning and prototyping Kit

Elecrow’s “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 processor, offering AI, multimedia, and embedded features in a single, self-contained kit designed for students, educational institutions, and developers for rapid prototyping. The open hardware kit integrates a 7-inch touchscreen display, a 2MP camera, and sixteen built-in electronic modules, supported by over 20 structured lessons that progressively cover I/Os, audio, LVGL GUI development, and basic AI use cases. Development is done in C using Espressif’s ESP-IDF framework, ready-to-build examples, and modular BSP drivers, making the kit suitable for learning embedded systems, IoT device control, human-machine interfaces, smart home concepts, and entry-level Edge AI applications. All-in-one Starter Kit for ESP32-P4 kit specifications: Wireless MCU – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Toradex Luna SL1680 – A “Pro Consumer” Raspberry Pi lookalike based on Synaptics SL1680 Edge AI SoC

Toradex Luna SL1680 – A “Pro Consumer” Raspberry Pi lookalike based on Synaptics SL1680 Edge AI SoC

Toradex Luna SL1680 SBC

Toradex Luna SL1680 is a credit card-sized single board computer heavily inspired by the Raspberry Pi 5 design, but powered by a Synaptics SL1680 quad-core Cortex-A73 SoC suitable for Edge AI applications thanks to a built-in 7.9 TOPS NPU. Designed for pro consumer and light industrial Edge AI applications, the Luna SL1680 ships with up to 4GB RAM and 256GB eMMC flash, and offers many of the same ports as the Pi 5, including a Gigabit Ethernet RJ45 port with optional PoE support, four USB 3.0 ports, two micro HDMI ports (but one Tx, one Rx), MIPI DSI and CSI connectors, and a 40-pin GPIO header. The 16-pin PCIe FFC connector is gone, making way for an M.2 Key-E socket, mostly useful for adding wireless connectivity. Toradex Luna SL1680 specifications: SoC – Synaptics SL1680 CPU – Quad-core Arm Cortex-A73 processor @ 2.1 GHz GPU – Imagination PowerVR Series9XE GE9920 GPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Fusion HAT+ Raspberry Pi expansion board targets motor and servo control with AI and LLMs

Fusion HAT+ Raspberry Pi expansion board targets motor and servo control with AI and LLMs

SunFounder Fusion HAT+

SunFounder Fusion HAT+ for Raspberry Pi 5/4/3B+ and Zero single board computers is a motor control and GPIO expansion board designed to work with LLMs such as ChatGPT or Gemini using the board’s built-in speaker and microphone for voice interaction. It features four DC motor drivers, twelve PWM servo channels, four ADC inputs, I2C, SPI, and UART interface for sensors, and ships with two 18650 rechargeable batteries with smart power management & safe shutdown. It can be used in smart cars, humanoid robots, robotic arms, multi-legged spiders, and smart home systems. Fusion HAT+ specifications: MCU – Gigadevices GD32E203C8T6 Arm Cortex-M23 microcontroller @ 72MHz with 64KB flash, 8KB SRAM. Motor control – 4x motor ports Audio 2030 audio chamber speaker connected to an I2S audio port MEMS microphone Expansion 4-channel digital pins 4-pin I2C interface compatible with Qwiic/STEMMA Qt 7-pin SPI interface 4-pin UART interface 12-channel PWM pins for servos 4-channel […]

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