Boardcon SBC3576 is a feature-rich single board computer (SBC) based on the MINI3576 system-on-module powered by a Rockchip RK3576 AI SoC and equipped with two 100-pin and one 44-pin board-to-board connectors for interfacing with the carrier board. The carrier board is equipped with up to 8GB RAM, 128GB eMMC flash, two gigabit Ethernet ports, a WiFi 6 and Bluetooth 5.3 module, 4K-capable HDMI 2.1 and mini DP video outputs, a mini HDMI input port, a USB 3.0 Type-A port, RS485 and CAN Bus terminal block, and more. The Rockchip RK3576 SoC comes with the same 6 TOPS NPU found in the Rockchip RK3588/RK3588S SoC and can be used as a lower-cost alternative with less performance. Boardcon SBC3576 specifications: SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores at 2.2GHz, four Cortex-A53 cores at 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU – ARM Mali-G52 MC3 GPU clocked at 1GHz with support for OpenGL […]
Edge video processing platform features NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC, supports up to 23 camera types
DAB Embedded AquaEdge is a compact computer based on NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC working as an edge video processing platform and supporting 23 types of vision cameras with resolution from VGA up to 12MP, and global/rolling shutter. The small edge computer features a gigabit Ethernet RJ45 jack with PoE to power the device. It is also equipped with a single GSML2 connector to connect a camera whose input can be processed by the built-in AI accelerator found in the selected NXP i.MX processors. Other external ports include a microSD card slot, a USB 3.0 Type-A port, and a mini HDMI port (for the NXP i.MX 8M Plus model only). DAB Embedded AquaEdge specifications: SoC / Memory / Storage options NXP i.MX 8M Plus CPU – Quad-core Cortex-A53 processor @ 1.8GH, Arm Cortex-M7 real-time core AI accelerator – 2.3 TOPS NPU VPU Encoder up to […]
YOLO-Jevois leverages YOLO-World to enable open-vocabulary object detection at runtime, no dataset or training needed
YOLO is one of the most popular edge AI computer vision models that detects multiple objects and works out of the box for the objects for which it has been trained on. But adding another object would typically involve a lot of work as you’d need to collect a dataset, manually annotate the objects you want to detect, train the network, and then possibly quantize it for edge deployment on an AI accelerator. This is basically true for all computer vision models, and we’ve already seen Edge Impulse facilitate the annotation process using GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers. However, researchers at jevois.org have managed to do something even more impressive with YOLO-Jevois “open-vocabulary object detection”, based on Tencent AI Lab’s YOLO-World, to add new objects in YOLO at runtime by simply typing words or selecting part of the image. It also updates class definitions on […]
Roboreactor – A Web-based platform to design Raspberry Pi or Jetson-based robots from electronics to code and 3D files
Roboreactor is a web-based platform enabling engineers to build robotic and automation systems based on Raspberry Pi, NVIDIA Jetson, or other SBCs from a web browser including parts selection, code generation through visual programming, and generating URDF models from Onshape software. You can also create your robot with LLM if you wish. The first step is to create a project with your robot specifications and download and install the Genflow Mini image to your Raspberry Pi or NVIDIA Jetson SBC. Alternatively, you can install Gemini Mini middleware with a script on other SBCs, but we’re told the process takes up to 10 hours… At this point, you should be able to access data from sensors and other peripherals connected to your board, and you can also start working on the Python code using visual programming through the Roboreactor node generator without having to write code or understand low-level algorithms. Another […]
Silicon Labs unveils low-cost BG22L BLE 5.4 and BG24L BLE 6.0 SoCs
Silicon Labs has unveiled the BG22L and BG24L SoCs for low-cost, ultra-low-power Bluetooth LE connectivity. These are Lite versions of the company’s BG22 and BG24 SoC families introduced in 2020 and 2022 respectively. The 38.4 MHz Silabs BG22L Arm Cortex-M33 SoC targets high-volume, cost-sensitive Bluetooth 5.4 applications like asset tracking tags and small appliances. In comparison, the 78 MHz BG24L Cortex-M33 SoC offers an affordable entry-level solution with AI/ML acceleration and Bluetooth 6.0 Channel Sounding to locate items or implement access control in crowded areas such as warehouses and multi-family housing. Since the specs for the BG22L and BG24L are similar to the ones for the BG22 and BG24 chips I won’t reproduce those here, and instead highlights the main features and cost-saving measures. Silicon Labs BG22L Bluetooth LE 5.4 SoC Silicon Labs BG22L highlights: MCU – Arm Cortex-M33 @ 38.4 MHz with DSP and FPU (BG22 is clocked at […]
Radxa Orion O6 Review – Part 1: Unboxing, Debian 12 installation, and first benchmarks
Radxa sent me a sample of the Orion O6 mini-ITX motherboard for review. The system is powered by an CIX P1 (CD8180) 12-core Armv9 processor, equipped with 16GB RAM, and offers features like 5GbE, HDMI and DisplayPort, a PCIe Gen4 x16 slot, and more. It’s one of the most anticipated boards of the first part of 2025 since it’s powerful, offers a good performance/value ratio, and eventually promises to boot any ISO Arm64 image through an open-source BIOS / EDKII bootloader. I’ll start this review with an unboxing, NVMe SSD and WiFi module installation, and a short tutorial showing how to install Debian 12 operating systems before getting some system information and running a few benchmarks. In a few weeks, I’ll publish a more detailed review with features testing and more benchmarks to see what works and what doesn’t at this very early stage. Radxa Orion O6 unboxing I received […]
Phison’s aiDAPTIV+ AI solution leverages SSDs to expand GPU memory for LLM training
While looking for new and interesting products I found ADLINK’s DLAP Supreme series, a series of Edge AI devices built around the NVIDIA Jetson AGX Orin platform. But that was not the interesting part, what got my attention was it has support for something called the aiDAPTIV+ technology which made us curious. Upon looking we found that the aiDAPTIV+ AI solution is a hybrid (software and hardware) solution that uses readily available low-cost NAND flash storage to enhance the capabilities of GPUs to streamline and scale large-language model (LLM) training for small and medium-sized businesses. This design allows organizations to train their data models on standard, off-the-shelf hardware, overcoming limitations with more complex models like Llama-2 7B. The solution supports up to 70B model parameters with low latency and high-endurance storage (100 DWPD) using SLC NAND. It is designed to easily integrate with existing AI applications without requiring hardware changes, […]
ESP32 Agent Dev Kit is an LLM-powered voice assistant built on the ESP32-S3 platform (Crowdfunding)
The ESP32 Agent Dev Kit is an ESP32-S3-powered voice assistant that offers integrations with popular LLM models such as ChatGPT, Gemini, and Claude. Wireless-Tag says the Dev Kit is suitable for “95% of AIoT applications, from smart home devices to desktop toys, robotics, and instruments” In some ways, it is similar to the SenseCAP Watcher, but it has a larger, non-touch display and dual mic input. It however does not support local language models. It also features a standard MikroBUS interface for expansion. For voice capabilities, the ESP32 Dev Kit integrates two onboard, noise-reducing microphones and a high-fidelity speaker. The built-in infrared laser proximity sensor detects human proximity and movement for “smart interactive experiences”. ESP32 Agent Dev Kit specifications: MCU – ESP32-S3 dual-core Tensilica LX7 microcontroller @ 240MHz, 8MB PSRAM Storage – 16MB flash Display – 3.5-inch Touchscreen, 480×360 resolution Camera – 5MP OmniVision OV5647 camera module, 120° field of […]