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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 – 10-core (6P + 4E) processor up to 3.3 GHz / 4.9 GHz (Turbo), 20MB cache, 2x Xe core graphics; TDP: 65W; AI: 23 TOPS Intel […]

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) - 1 Comment 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 […]

Posted on by Debashis Das - 1 Comment on Calixto Systems SL1680 OPTIMA industrial SoM and EVK features Synaptics SL1680 Edge AI processor

Calixto Systems SL1680 OPTIMA industrial SoM and EVK features Synaptics SL1680 Edge AI processor

SL1680 OPTIMA SOM

Calixto Systems has recently introduced the SL1680 OPTIMA, an industrial SoM built around the Synaptics SL1680 quad-core Arm Cortex-A73 SoC with a 7.9+ TOPS secure NPU for Edge AI and advanced multimedia applications. They also announced an evaluation kit (EVK) for rapid product development. The SoM offers up to 4GB LPDDR4 RAM, up to 16GB eMMC flash, an onboard Gigabit Ethernet PHY, and a wide range of interfaces through compact Hirose connectors, including dual MIPI CSI camera inputs, MIPI DSI, HDMI 2.1 Tx/Rx, PCIe 2.0, USB 3.0/2.0, SDIO, RS485, CAN-FD, and various GPIOs. The EVK further expands connectivity with MikroBUS, display and camera interfaces, and industrial I/O, making the platform suitable for AI-enabled vision systems, smart HMIs, automation equipment, and other edge computing applications. SL1680 OPTIMA SoM specifications SoC – Synaptics SL1680 (Astra Series) CPU – Quad-core Arm Cortex-A73 processor @ 2.1 GHz GPU – Imagination PowerVR Series9XE GE9920 GPU with […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Luxonis OAK4 standalone AI vision camera features Qualcomm QCS8550 SoC with up to 52 TOPS performance

Luxonis OAK4 standalone AI vision camera features Qualcomm QCS8550 SoC with up to 52 TOPS performance

Luxonis OAK4 Qualcomm QCS8550 AI camera family

Luxonis OAK 4 is a standalone AI vision system/camera powered by a Qualcomm DragonWing QCS8550 platform delivering up to 52 TOPS of AI performance for on-device real-time perception without relying on a host computer. Four variants are offered: OAK 4 S, OAK 4 D, OAK 4 D Pro, and OAK 4 CS. All four feature 8GB of RAM, 128GB of storage, and a 48 MP RGB camera sensor with rolling shutter, although the OAK 4 CS model can feature a 5MP global shutter camera thanks to support for wappable lenses. Depth sensing is implemented through an OV9282 sensor in the OAK 4 D and OAK 4 D Pro (dual camera) models, and the latter also adds a laser dot projector to improve depth perception. Luxonis OAK 4 specifications: SoC – Qualcomm DragonWing QCS8550 CPU – 1x GoldPlus core @ 3.2 GHz + 4x Gold cores @  2.8 GHz + 3x […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on UP Xtreme ARL AI Dev Kit review – Benchmarks and AI workloads on an Intel Core Ultra 5 225H Arrow Lake SBC

UP Xtreme ARL AI Dev Kit review – Benchmarks and AI workloads on an Intel Core Ultra 5 225H Arrow Lake SBC

UP Xtreme ARL AI Dev Kit review

That’s the last part of my review of three Intel-based UP AI development kits, and after testing the UP TWL AI Dev Kit with an Intel N150 CPU and the UP Squared Pro TWL AI Dev Kit with an Intel N150 CPU coupled with an Hailo-8L M.2 AI accelerator, I’ll now report my experience with the high-end UP Xtreme ARL AI Dev Kit with a 14-core Intel Core Ultra 5 225H “Arrow Lake” single board computer with Intel Arc 130T graphics delivering up to a combined 83 TOPS of AI performance. I’ve followed the same procedure as with the previous models, using the pre-installed Ubuntu 24.04 Pro operating system to report system information, run some benchmarks, and go through AI workloads using Nx Meta and the AAEON UP AI Toolkit system. It just ran additional benchmarks and tests since it’s my first Intel Arrow Lake platform. UP Xtreme ARL system […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 18 Comments on CIX releases P1 CPU TRM and developer guides for GPU, AI accelerator, OS and firmware/BIOS

CIX releases P1 CPU TRM and developer guides for GPU, AI accelerator, OS and firmware/BIOS

CIX P1 documentation

CIX has finally released the technical reference manual (TRM) for the P1 (CD8180/CD8160) Arm Cortex-A720/A520 SoC, along with developer guides for the GPU (Arm Immortalis G720 and NVIDIA/AMD discrete graphics cards), the AI accelerator, as well as OS (Android, Linux, and Windows) and firmware (BIOS) installation and development. A slow (but steady?) progress There was a lot of excitement when the Radxa Orion O6 mini-ITX motherboard was introduced in December 2024, as we were told the CIX P1 12-core Armv9 processor would offer performance similar to Apple M1 SoC and Qualcomm 8cx Gen3 platform, at an affordable price ($199 and up for the mini-ITX board), and software support would include a Debian image, full UEFI via an open-source EDKII implementation, as well as an SDK along with hardware and software documentation, community forum support, and regular firmware & OS updates. CIX was even called “a native open source ecosystem chip […]