LeapFive NB2 quad-core RISC-V processor comes with GPU, NPU, and DSP

LeapFive NB2 quad-core RISC-V processor

After SiFive and StarFive, here comes LeapFive RISC-V silicon vendor offering the NB2 quad-core 64-bit RISC-V application processor with GPU, NPU, and vision and audio DSPs capable of running Linux. LeapFive NB2 processor is equipped with MIPI DSI and LVDS display interface, dual GbE, USB 3.2/2.0 interfaces, and other peripheral interfaces that make it well-suited to a wide range of applications including Smart Home applications, robotics, industrial gateways, drones, building automation, smart cities, digital signage, medical equipment and more. LeapFive NB2 specifications: CPU – Quad-core SiFive U74 64-bit RISC-V processor @ 1.8 GHz delivering 2.5 DMIPS/MHz Cache – 32KB I-cache, 32KB D-cache, 2MB level 2 cache GPU – “High-performance graphics processor” @ 850 MHz DSP – Dedicated vision DSP, audio DSP NPU – Independent AI engine delivering up to 4 TOPS @ 1.4 GHz VPU – 4Kp60 H.264/H.265 Video encoding and decoding, JPEG image codec System Memory – Up to […]

AI, computer vision meet LoRaWAN with SenseCAP K1100 sensor prototype kit

Wio Terminal Grove Vision AI LoRaWAN module

CNXSoft: This is another tutorial using SenseCAP K1100 sensor prototype kit translated from CNX Software Thai. This post shows how computer vision/AI vision can be combined with LoRaWAN using the Arduino-programmable Wio Terminal, a Grove camera module, and LoRa-E5 module connecting to a private LoRaWAN network using open-source tools such as Node-RED and InfluxDB. In the first part of SenseCAP K1100 review/tutorial we connected various sensors to the Wio Terminal board and transmitted the data wirelessly through the LoRa-E5 LoRaWAN module after setting the frequency band for Thailand (AS923). In the second part, we’ll connect the Grove Vision AI module part of the SenseCAP K1100 sensor prototype kit to the Wio Terminal in order to train models to capture faces and display the results from the camera on the computer. and evaluate the results of how accurate the Face detection Model is. Finally, we’ll send the data (e.g. confidence) using […]

NVIDIA Jetpack 5.0.2 release supports Ubuntu 20.04, Jetson AGX Orin

NVIDIA Jetpack 5.0.2 Ubuntu 20.04

The NVIDIA Jetpack 5.0.2 production release is out with Ubuntu 20.04, the Jetson Linux 35.1 BSP 1 with Linux Kernel 5.10, an UEFI-based bootloader, support for Jetson AGX Orin module and developer kit, as new as updated packages such as CUDA 11.4, TensorRT 8.4.1, cuDNN 8.4.1. NVIDIA Jetson modules and developer kits are nice little pieces of hardware for AI workloads, but the associated NVIDIA Jetpack SDK was based on the older Ubuntu 18.04 which was not suitable for some projects. But the good news is that Ubuntu 20.04 was being worked on and initially available through the Jetpack 5.0.0/5.0.1 developer previews, and NVIDIA Jetpack 5.0.2 SDK is the first production release with support for Ubuntu 20.04. Besides the upgrade to Ubuntu 20.04, the Jetpack 5.0.2 SDK also adds support for both the Jetson AGX Orin Developer Kit and the newly-available Jetson AGX Orin 32 GB production module. It still […]

AMD Ryzen Embedded 5000 Series CPUs show up in Micro-ATX motherboard

AMD Ryzen Embedded 5000 Series motherboard

Advantech has announced the AIMB-522 industrial Micro-ATX motherboard with AMD Ryzen Embedded 5000 Series Zen3 processors for AI image processing in automation and surveillance applications. I had never heard about “Ryzen Embedded 5000 Series” processors, but that motherboard comes with a choice of new SKUs such as the 12-core Ryzen 5950E, the 10-core Ryzen 5900E, the 8-core Ryzen 5800E, and the 6-core Ryzen 5600E, as well as existing Ryzen 5000 desktop processors. AIMB-522 Micro-ATX motherboard specifications: Processor (one or the other) Ryzen 5950E 12-core processor @ up to 3.4 GHz with 64MB L3 cache; TDP: 105W Ryzen 5900E 10-core processor @ up to 3.7 GHz with 64MB L3 cache; TDP: 105W Ryzen 5800E 8-core processor @ up to 3.7 GHz with 32MB L3 cache; TDP: 100W Ryzen 5600E 6-core processor @ up to 3.6 GHz with 32MB L3 cache; TDP: 65W Ryzen 5950X 16-core processor @ up to 3.4 GHz […]

NVIDIA Jetson AGX Orin 32GB production module is now available

NVIDIA Jetson AGX Orin 32GB Module

NVIDIA Jetson AGX Orin 32GB production module is now in mass production and available after the 12-core Cortex-A78E system-on-module was first announced in November 2021, and the Jetson AGX Orin developer kit was launched last March for close to $2,000. Capable of up to 200 TOPS of AI inference performance, or up to 6 times faster than the Jetson AGX, the NVIDIA Jetson AGX Orin 32GB can be used for AI, IoT, embedded, and robotics deployments, and NVIDIA says nearly three dozen partners are offering commercially available products based on the new module. Here’s a reminder of NVIDIA Jetson AGX Orin 32GB specifications: CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator – PVA v2.0 (Programmable Vision […]

reComputer J101/J202 carrier boards are designed for Jetson Nano/NX/TX2 NX SoM

recomputer J101 J201

Seeed Studio’s reComputer J101 & J202 are carrier boards with a similar form factor as the ones found in NVIDIA Jetson Nano and Jetson Xavier NX developer kits, but with a slightly different feature set. The reComputer J101 notably features different USB Type-A/Type-C ports, a microSD card, takes power from a USB Type-C port, and drops the DisplayPort connector, while the reComputer J201 board replaces the micro USB device port with a USB Type-C port, adds a CAN Bus interface, and switches to 12V power input instead of 19V. The table below summarizes the features and differences between the Jetson Nano devkit (B1), reComputer J101, Jetson Xavier NX devkit, and reComputer J202. Note the official Jetson board should also support production SoM with eMMC flash, but they do ship with a non-production SoM with a built-in MicroSD card socket instead. The carrier boards are so similar that if NVIDIA would […]

T-Display-S3 board offers ESP32-S3 WiSoC, 1.9-inch color LCD, and LiPo battery support

T-Display-S3

LilyGO T-Display-S3 is an ESP32-S3 WiFi and Bluetooth LE IoT development board with a 1.9-inch color LCD and support for LiPo batteries that follows the company’s T-QT ESP32-S3 board with a tiny 0.85-inch display introduced earlier this month. The new board offers the same layout as the previous T-Display RP2040 or ES32 boards, but the 1.14-inch display has been replaced with a larger 1.9-inch display that covers most of the board, and thanks to the ESP32-S3 microcontroller, gains proper Bluetooth 5.0 support, as well as vector instructions for AI acceleration. T-Display-S3 specifications: Wireless MCU – Espressif Systems ESP32-S3R8 dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 8MB PSRAM, wireless connectivity Storage – 16MB flash Connectivity via ESP32-S3 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support Bluetooth Low Energy (BLE) 5.0 connectivity with long-range support, up to 2Mbps data rate. […]

mini PCIe module features Rockchip RK1808K SoC with 3.0 TOPS NPU

Toybrick RK1808 mPCIe AI accelerator card

Rockchip RK1808 SoC with a built-in 3.0 TOPS AI accelerator has been around since 2019, and we’ve seen it in USB compute sticks, SBCs, and even in Pine64 SoEdge-RK1808 SO-DIMM module, but somehow never in the more widely used M.2 or mPCIe form factors. Toybrick TB-RK1808M0 changes that and offers Rockchip RK1808K SoC coupled with 1GB RAM and an 8GB eMMC flash in a mini PCIe module that exposes USB 3.0, USB 2.0, UART, and GPIO signals. Toybrick TB-RK1808M0 specifications: SoC – Rockchip RK1808K CPU – Dual-core Cortex-A35 processor @ up to 1.4 GHz AI Accelerator – 3.0 TOPS NPU for INT8 inference (300 GOPS for INT16, 100 GFLOPS for FP16) VPU – 1080p60 H.264 decode, 1080p30 H.264  encode System Memory – 1GB DDR Storage – 8GB eMMC flash Host interface – Mini PCIe edge connector with USB 3.0, USB 2.0, UART, and GPIO Misc – Heatsink for cooling Supply […]

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