Axiomtek AIE110-XNX is an affordable Edge AI Developer Kit based on NVIDIA Jetson Xavier NX

Axiomtek AIE110-XNX devkit

Axiomtek AIE110-XNX Edge AI developer kit provides up to 21 TOPS of accelerated AI computing performance thanks to an NVIDIA Jetson Xavier NX system-on-module with a 6-core NVIDIA Carmel ARM v8.2 64-bit CPU and a 384-core NVIDIA Volta GPU with 48 Tensor Cores. The new devkit serves as a relatively low-cost cost development kit with no minimum order, instead of getting full-feature embedded computers such as the company’s AIE900-XNX Edge AI system also based on the same Jetson Xavier NX module. Axiomtek AIE110-XNX specifications: NVIDIA Jetson Xavier NX system-on-module with CPU – 6-core NVIDIA Carmel Armv8.2 64-bit CPU with 6 MB L2 + 4 MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI Accelerator – 2x NVDLA System Memory – 8GB 128-bit LPDDR4x onboard Storage – 16GB eMMC flash Storage – M.2 Key M 2280 with PCIe x4 NVMe SSD slot, microSD slot Video Output […]

Khadas VIM4 Amlogic A311D2 SBC gets 3.2 TOPS NPU

Khadas VIM4 Amlogic A311D2-N0D SBC

First introduced in 2022, the Khadas VIM4 SBC will now sell with an Amlogic A311D2-N0D Cortex-A73/A53 processor equipped with a 3.2 TOPS NPU, and the version without AI accelerator will be phased out. I reviewed the Khadas VIM4 with both Android 11 and Ubuntu 22.04 last year, and really liked the user experience notably thanks to the OOWOW system that makes it really easy to try different operating systems downloaded from Khadas servers, although some features like support for GPU acceleration still needed to be worked on at the time. One thing missing compared to the previous generation Khadas VIM3 SBC was an on-chip NPU to accelerate AI workloads, and the latest revision of the Amlogic A311D2 processor (with N0D suffix) fixes that on the Khadas VIM4. “Khadas VIM4 with NPU” specifications: SoC – Amlogic A311D2-N0D octa-core processor with 4x Arm Cortex-A73 cores @ up to 2.2 GHz and 4x […]

Reolink E1 Outdoor Pro 4K smart security camera supports WiFi 6 connectivity

WiFi 6 security camera

Reolink E1 Outdoor Pro is a 4K smart security camera with PTZ and auto-tracking like the Reolink TrackMix, but instead of relying on PoE or WiFi 4/5, the camera comes with WiFi 6 connectivity for a faster and more stable network connection with less latency. Most of the WiFi security cameras I’ve been using come with 2.4GHz WiFi 4, and I’ve found connectivity to the solar-powered Reolink security cameras I’ve been using to be somewhat unreliable with difficulty connecting to them through the mobile app, although uploads to the cloud don’t suffer from those issues. So I typically prefer PoE or 4G LTE security cameras since the connectivity is more stable, but Reolink E1 Outdoor Pro security camera’s WiFi 6 support could help depending on the environment. Reolink E1 Outdoor Pro specifications: Camera – 4K Ultra HD resolution with 3x optimal zoom Color night vision with spotlight PTZ – 355º […]

iW-RainboW-G55M is an OSM-LF compliant module based on TI AM62A Cortex-A53 processor

TI AM62Ax OSM Module

iWave Systems iW-RainboW-G55M is an OSM Size L compliant system-on-module based on Texas Instruments AM62A single to quad-core Cortex-A53 processor with up to 8GB RAM, 128GB eMMC flash, and a wireless module with WiFi 6, Bluetooth 5.2, and 802.15.4 radios. The iW-RainboW-G55M can leverage the vision processing and deep learning accelerator and the Arm Cortex-R5F real-time cores for control and device management found in the AM62A processor, as well as its display and camera interfaces, peripheral and networking options, to develop products for “man-machine applications at the edge”. iW-RainboW-G55M SoM specifications: SoC – Texas Instruments AM62A SoC (AM62A3, AM62A3-Q1, AM62A7, or AM62A7-Q1) Application processor – Up to four Arm Cortex- A53 cores @ 1.4GHz Real-time cores 1x Cortex-R5F @ 800MHz (MPU Channel with FFI) 1x Cortex-R5F @ 800MHz to support Device Management C7xV-256 Deep Learning Accelerator up to 2 TOPS System Memory – 2GB (default) to 8GB LPDDR4 RAM Storage […]

Cincoze DX-1200 fanless Alder Lake-S embedded computer targets machine vision, industrial automation

CINCOZE DX-1200

Cincoze DX-1200 is a fanless embedded computer powered by a choice of 12th gen Intel Core (Alder Lake-S) Celeron up to Core i9 CPUs whose mainboard is housed in a rugged and compact chassis designed for industrial edge AI and machine vision applications. The DX-1200 supports up to 64GB of 4800MHz DDR5 memory with ECC, and the Intel Xe architecture of the UHD 770 graphics chip is said to deliver image classification inference performance that is 2.8 times the speed of the Comet Lake-S platform. The embedded computer also offers a wide range of I/Os and as well expansion capabilities for up to four 10GbE, DIO, and COM ports, and M.2 and mPCIe sockets for WiFi, GNSS, 4G, and Bluetooth connectivity. Cincoze DX-1200 specifications: Alder Lake-S SoC (one or the other) Intel Core i9-12900E 16 cores up to 5 GHz with Intel UHD Graphics 770; TDP: 65W Intel Core i7-12700E […]

AndesAIRE AnDLA I350 AI/ML IP block is configurable from 64 GOPS to 8TOPS for Edge AI SoCs

AnDLA I350 Block Diagram

Andes Technology has just announced the AndesAIRE product line, where AndesAIRE stands for Andes AI Runs Everywhere, comprised of the AndesAIRE AnDLA I350 (Andes Deep Learning Accelerator) AI/ML hardware accelerator intellectual property (IP) and the AndesAIRE NN SDK with neural network software tools and runtimes. AndesAIRE AnDLA I350 AnDLA I350 specifications: Configurable MACs from 32 to 4096 (INT8) Maximum performance – 8 TOPS at 1GHz Configurable local memory – 16KB to 4MB Multi-dimension DMA Four 64-bit AXI bus interfaces NN type – CNN inference NN models Image and Video: AlexNet, VGG-16/19, MobileNet-v1/v2/v3, ResNet-8/50, Tiny YOLO v1/v2, YOLO v1/v2/v3/v4/v5, SSD MobileNet v1/v2, Inception v2, EfficientNet-lite, MobileFaceNet, BlazeNet Speech/Voice and audio: LSTM, RNN, GRU Operators: Conv2d, depthwise convolution, pointwise convolution, transpose convolution, dilated convolution, element-wise (add, sub, mul), fully-connected, activation (ReLU, leaky ReLU, sigmoid, Tanh, ReLU6, SiLU), pooling (max, ave), upsample, concatenation, batch normalization, channel padding Operator fusion NHWC data format The IP […]

STMicro unveils STM32MP2 Arm Cortex-A35/M33 MPU family starting with STM32MP25

STM32MP25 block diagram

STMicro has introduced its second generation of its STM32 MPUs (microprocessors) with the STM32MP2 moving to a 64-bit Arm architecture with Edge AI acceleration, multimedia features, graphics processing, and digital connectivity targeting industrial and IoT edge applications. The new family follows the STM32MP1 Arm Cortex-A7/M4 series introduced in 2019, and the first member of the family is the STM32MP25 with up to two 1.5 GHz Cortex-A35 cores coupled with an Arm Cortex-M33 real-time core clocked at 400 MHz, a 3D GPU, and a 1.35 TOPS NPU for AI acceleration. STM32MP25 key features and specifications: CPU – Single or dual Arm Cortex-A35 cores running up to 1.5 GHz Real-time MCU – Arm Cortex-M33 core running up to 400 MHz GPU – Unnamed 3D GPU for “advanced HMI” with support for the Vulkan API VPU – H.264 hardware video decoder and encoder AI accelerator – 1.35 TOPS NPU (Neural processing unit) System […]

Seeed Studio launches Jetson-based “reComputer Industrial” fanless Edge AI computers

reComputer Industral fanless Jetson Orin computer

We covered the actively-cooled reComputer J4012 Edge AI mini PC powered by Jetson Orin NX system-on-module last January, but Seeed Studio has now launched four fanless “reComputer Industrial” variants with an aluminum case, two Gigabit Ethernet ports, three USB 3.2 ports, an RS232/RS422/RS485 serial port, and a terminal block with four DI, four DO, and a CAN Bus. The four different models simply use a different Jetson Xavier NX/Orin NX/Orin Nano module: reComputer Industrial J2011 – NVIDIA Jetson Xavier NX 8GB with a 6-core NVIDIA Carmel Armv8.2 64-bit CPU, 384-core NVIDIA Volta GPU with 48 Tensor Cores delivering up to 21 TOPS of AI performance, 8GB LPDDR4x, 16 GB eMMC flash reComputer Industrial J3011 – NVIDIA Jetson Orin Nano NX 8GB with a 6-core Arm Cortex-A78AE Armv8.2 64-bit CPU, 1024-core NVIDIA Ampere GPU with 32 Tensor Cores delivering up to 40 TOPS of AI performance, 8GB LPDDR5 reComputer Industrial J4011 […]

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