Open AI Lab EAIDK-610 devkit targets computer vision education with OpenCV

Open AI Lab EAIDK 610 development kit

Open AI Lab EAIDK-610 is an embedded AI development kit powered by a Rockchip RK3399 processor, recently added to Linux 6.1 and described as “popularly used by university students” in the kernel changelog. But I had never heard about it, and it turns out it’s because it’s popular with students in China, and most documentation is written in Chinese. The development board is equipped with 4GB LPDDR3, a 16GB eMMC flash, HDMI video output, Gigabit Ethernet and WiFi 5, a few USB ports, a 40-pin GPIO header, and more. EAIDK-610 specifications: SoC – Rockchip RK3399 System Memory – 4GB LPDDR3 Storage – 16GB eMMC flash and MicroSD card slot Video Output HDMI 2.0 up to 4Kp60 MIPI DSI up to 1280×720 @ 60 fps 4-lane eDP 1.3 Audio – Speaker header, built-in microphone, 3.5mm audio jack, I2S header, digital audio via HDMI Camera I/F – 2x MIPI CSI up to […]

Aetina launches ASIC-based Edge AI system with a 16 TOPS Blaize P1600 embedded SoM

Aetina AIE-CP1A-A1 ASIC based Edge AI system

Aetina AIE-CP1A-A1 is a compact, ASIC-based Edge AI system powered by the Blaize Pathfinder P1600 embedded system-on-module (SoM) equipped with dual-core Cortex-A53 processor, the Blaize Graph Streaming Processor (GSP) architecture delivering up to 16 TOPS, and 4GB RAM. The Aetina AI inference system also comes with 8GB eMMC flash, HDMI video output, Gigabit Ethernet, two USB 3.2 ports, and a serial interface, with the small-sized embedded computer targetting computer vision applications such as object detection, human motion detection, and automated inspection. Aetina AIE-CP1A-A1 specifications System-on-Module – Blaize PathFinder P1600 SoM SoC – Blaize 1600 dual ArmCortex A53 processor with H.264/H.265 encode and decode, MIPI CSI/DSI camera interfaces, PCIe Gen 3.0, Blaize GSP 16 TOPS AI accelerator supporting  INT8, INT16, BF16, FP16, FP32, and FP64 data formats System Memory – 4GB LPDDR4 Storage – 64 MB Quad SPI NOR Flash Carrier board interface – 400-pin board-to-board connector Cooling – Thermal transfer […]

Alif Ensemble Cortex-A32 & Cortex-M55 chips feature Ethos-U55 AI accelerator

Alif E7 processor block diagram

Alif Semiconductor’s Ensemble is a family of processors and microcontrollers based on Arm Cortex-A32 and/or Cortex-M55 cores, one or two Ethos-U55 AI accelerators, and plenty of I/Os and peripherals. Four versions are available as follows: Alif E1 single-core MCU with one Cortex-M55 core @ 160 MHz, one Ethos U55 microNPU with 128 MAC/c Alif E3 dual-core MCU with one Cortex-M55 core @ 400 MHz, one Cortex-M55 core @ 160 MHz, one Ethos U55 with 256 MAC/c, one Ethos U55 with 128MAC/c Alif E5 triple-core fusion processor with one Cortex-A32 cores @ 800 MHz, one Cortex-M55 core @ 400 MHz, one Cortex-M55 core @ 160 MHz, one Ethos U55 with 256 MAC/c, one Ethos U55 with 128MAC/c Alif E7 quad-core fusion processor with two Cortex-A32 cores @ 800 MHz, one Cortex-M55 core @ 400 MHz, one Cortex-M55 core @ 160 MHz, one Ethos U55 with 256 MAC/c, one Ethos U55 with […]

Lattice Avant mid-range FPGA platform features up to 500K logic cells, 25 Gbps SERDES, Hard PCIe Gen4

Lattice Avant

Lattice Avant is a new low-power and small form factor mid-range FPGA platform, manufactured with a 16nm FinFET process, and equipped with 25 Gb/s SERDES, hardened PCI Express, external memory PHY interfaces, a high DSP count, and a security engine. Lattice Semi is better known for its entry-level FPGAs such as the iCE40 which is popular in the community thanks to low-cost hardware and support for open-source tools, but the Avant platform marks the company’s entry into the mid-range FPGA market, defined by chips with 100k to 500k logic cells (LCs). Lattice Avant highlights: FPGA fabric – 200K to 500K logic cells up to 350 MHz DSP – 700 to 1,8000 18×18 multipliers @ up to 650 MHz to support the latest AI algorithms Memory 14-36 Mbit embedded memory up to 650 MHz DDR3L/DDR4/LPDDR4 and DDR5 support I/Os 4x to 28x 25 Gbps multi-protocol SERDES Hard PCIe Gen4 200 to […]

Hand Gesture Recognition on ESP32-S3 with the ESP-DL library

ESP32-S3 AI Gesture Recognition

Ali Hassan Shah has deployed a deep learning model for hand gesture recognition on the ESP32-S3-EYE  board using the ESP-DL library and achieved AI-powered hand recognition with a 0.7-second latency on the ESP32-S3 camera board. Last year, Espressif released the ESP-DL library for the ESP32-S3 microcontroller with AI vector extensions, as well as ESP32 and ESP32-S2, along with a face detection demo that ran much faster on the ESP32-S3. Ali rolled out his own solution for AI gesture recognition and provided a step-by-step tutorial along the way. The main steps to deploying a custom model with the ESP-DL library include: Model Development that involves Getting or creating datasets. In this case, downloaded from Kaggle with 6 gestures namely Palm, I, Thumb, Index, Ok, and C. Testing, training, and calibrating the datasets Building a (CNN) Model Training a Model Saving a Model to the Hierarchical Data format (.h5) Converting the H.5 […]

DFI EC70A-TGU embedded computer promises long-term support until 2035 (at least)

DFI EC70A-TGU embedded computer

Some industries require long-term support of hardware, and DFI’s EC70A-TGU rugged embedded computer could fit the bill as the Tiger Lake IOTG processor used in this model has a 15-Year CPU life cycle guaranteeing availability until Q3 2035. The fanless computer is equipped with 8GB RAM, supports M.2 NVMe SSD storage, also well M.2 expansion slots for 5G modules, features HDMI and VGA video output, four serial DB3 ports, and offers up to four Ethernet ports and up to six USB ports through three SKUs with a different number of USB and Ethernet ports. DFI EC70A-TGU specifications: Tiger Lake UP3 “IoTG” SoC (one or the other) @ 1.5GHz to 4.4GHz depending on SKU Embedded Intel Core i7-1185G7E quad-core processor with Iris Xe graphics; TDP: 28W Intel Core i5-1145G7E quad-core processor with Iris Xe graphics; TDP: 28W Intel Core i3-1115G4E dual-core processor with Intel UHD graphics; TDP: 28W Industrial-grade Intel Core […]

Cool Pi 4 Model B – A much faster alternative to Raspberry Pi 4 SBC

Cool Pi 4 Model B

Cool Pi 4 Model B is a powerful alternative to Raspberry Pi 4 SBC with mostly the same form factor and interfaces but equipped with a Rockchip RK3588S octa-core Cortex-A76/A55 processor that will run circles around the Broadcom BCM2711 SoC found in the Raspberry Pi board. We’ve already reviewed Rockchip RK3588/RK3588S single board computers and mini PC such as Rock 5B, Khadas Edge2 Pro, and Mekotronics R58, and we were impressed by the performance, but if you prefer to have such a board in Raspberry Pi 4 form factor, then the Cool Pi 4 Model B might be for you. Cool Pi 4 Model B specifications: SoC – Rockchip RK3588S octa-core processor with 4x Cortex-A76 cores @ up to 2.4 GHz, 4x Cortex-A55 cores, an Arm Mali-G610 GPU with OpenGL ES 3.2,  OpenCL 2.2, and Vulkan 1.1 support, 8Kp60 video decoder for H.265/AVS2/VP9/H.264/AV1 codecs, 8Kp30 video encoder, and a 6 […]

Arducam OCam AI camera adds context to video streams in real-time with the PhysicO platform

Arducam OCam

Arducam OCam, whose name stands for Object Camera, is an AI camera with 3 TOPS of AI performance and designed to work with OStream‘s PhysicO Edge AI media platform that adds context to MP4 video streams in real-time. The camera supports resolutions from QVGA to 2K, takes USB or PoE power, comes with a drag-and-drop AI pipeline for easy programming/configuration, and is also compatible with common AI tools such as TensorFlow, PyTorch, Edge Impulse, and others. Arducam OCam specifications: Resolution – QVGA up to 2K Frame Rate – Up to 60 fps FoV – 80° Audio – Dual beamforming AI processing power – Up to 3 TOPS Power Supply 5V via USB PoE Power Consumption – Up to 5 Watts Dimensions – 10 cm Φ x 3 cm Weight – 400 grams As I understand it, the AI pipeline – named ObjectAgent – runs on the camera itself, and adds […]

Youyeetoo X1 x86 SBC