UP Xtreme i11 Edge Compute Enabling Kit supports 5G, WiFi 6, Myriad X AI accelerator cards

UP Xtreme i11 Edge Compute Enabling Kit

UP! Bridge the Gap, a brand belonging to AAEON Technology, has started taking pre-orders for the UP Xtreme i11 Edge Compute Enabling Kit, a mini PC based on the UP Xtreme i11 Edge Tiger Lake SBC that was first introduced last year, and formally launched last month. The mini PC is offered with Celeron 6305E up to Intel Core i7-1185GRE processor, optional DDR4 and SSD, M.2 sockets for 5G, WiFi 6, or an AI accelerator card based on Movidius Myriad X VPU., serial ports, as well as a Phoenix terminal connector to access some of the GPIOs. UP Xtreme i11 Edge Compute Enabling Kit specifications: Tiger Lake “E”/”GRE” SoC (one or the other) Intel Core i7-1185G7GRE quad-core/8-thread processor @ up to 4.4 GHz with 96 EU Intel Iris Xe Graphics; up to 28W TDP (cTDP 15W) Intel Core i5-1145G7GRE quad-core/8-thread processor @  up to 4.1 GHz with 80 EU Intel […]

OpenNCC Nighthawk – A face blurring AI camera based on Myriad X VPU

OpenNCC Nighthawk Myriad X AI camera

We’ve just written about OpenCV Ai Kit Lite computer vision camera based on Intel Myriad X VPU, and OpenNCC Nighthawk is another such programmable camera based on the Intel AI accelerator, but with an IR filter for night vision, and working with OpenNCC-SDK notably supporting real-time face blurring for enhanced privacy. OpenNCC Nighthawk specifications: VPU – Intel Movidius Myriad X MA2085 up to 4 TOPS RAM – 8 Gbits (1GB) LPDDR4 Camera 2MP camera up to 1920 x 1080 @ up to 30fps ~114° Field of View (DFOV) 2.2mm focal length Lens TTL (through the lense) – 24mm Mount – M12 x 0.5mm thread size Day&Night IR Filter – Solenoid excitation type, automatically switch between 0.1~2 lux IR LED – 850nm up to 5m Output Data format – YUV420, YUV422, MJPG, H.264 Misc – Reset, GPIO Host Interface – USB 3.1 TYPE-C port Temperature Range – 0°- 50° The camera […]

SMARC Modules With NXP i.MX 8M Plus Processor (Sponsored)

congatec smarc NXP i.MX8M Plus

Low-power flagship for artificial intelligence – congatec is expanding its SMARC platform with a new module with an NXP i.MX 8M Plus processor especially for embedded AI applications. Thanks to the extensive ecosystem with an application-ready 3.5-inch carrier board, Basler cameras, and AI software stack, fast proof of concept is possible. That hasn’t always been so easy. Previously, it was usually much more difficult to use the latest processor technology from the Arm environment as a finished system than to implement the x86 environment. This is because, as a result of the historically large range of individually tailored custom designs used in large quantities, the ecosystem of system platforms is not that extensive. However, with the modular approach based on the SMARC computer-on-modules specification, it is now also possible to obtain standard form factors from the x86 box PC range with ARM processors. For example, the embedded computing specialist congatec […]

OpenCV AI Kit Lite – A compact 4K Tri-camera kit for computer vision applications (Crowdfunding)

OpenCV AI Kit LIte

The OpenCV AI Kit “OAK-D” now has a little brother with the OpenCV AI Kit Lite equipped with the same Intel Myriad X-based DepthAI solution with three cameras, but in a much compact form factor and a price slashed to as low as $79 and up. Like its predecessor, the OpenCV AI Kit leverage the Myriad X AI accelerator’s capabilities to provide a wide range of real-time computer vision applications, and can be programmed with C++ or Python APIs, as well as graphical user interfaces. OpenCV AI Kit Lite (OAK-D Lite) specifications: Intel Myriad X-based DepthAI with 4 TOPS of AI performance Cameras (made by ArduCam) Color Camera IMX214 (PLCC) with 4208×3120 resolution,  1.348:1 aspect ratio 1/3.1 inch Lens size 81.3 degrees DFOV Focus range 8cm – ∞ Stereo Camera specifications: Omnivision OV07251-G04A-1E (COB) with  640 x 480 resolution, 1.333:1 aspect ratio 1/7.5 inch lens size DFOV: 85.6,HFOV: 72.9, VFOV: […]

Wio Lite AI – An STM32H725A Cortex-M7 board for AI vision applications

Wio Lite AI

Wio Lite AI is another development board from Seeed Studio’s “Wio Lite” family. The board is based on STMicro STM32H725A Cortex-M7 microcontroller with a dual-band WiFi and Bluetooth module, as well as camera & display interfaces for connected AI vision applications. The board builds upon the earlier Wio Lite and  Wio Lite W600 boards with built-in wireless connectivity but offers much more processing power for computer vision or other applications. Wio Lite AI specifications: MCU – STMicro STM32H725AE Arm Cortex-M7 microcontroller @ 550MHz with DSP instructions, 512 KB flash, 564 KB RAM Memory – 8MB PSRAM (from AP Memory) Storage – 16MB SPI NOR flash and  MicroSD card slot Display I/F – 40-pin FPC connector for LCD RGB565 or RGB888 displays Camera – 24-pin FPC connector for DCMI camera (OV2640) Audio –  12-pin FPC connector for audio Connectivity – Dual-band 2.4GHz / 5GHz Wi-Fi and Bluetooth 5.1 Expansion – Feather […]

Jetson Nano & Xavier NX carrier board offers 3x M.2 sockets, 10x RS232/RS485 interfaces

Jetson Nano & Xavier NX Carrier Board

Geniatech NVJ100AI/NVJ100AIX is a carrier board fitted with either Jetson Nano or Jetson Xavier NX SoM with good expansion capabilities thanks to three M.2 sockets and ten RS232 and/or RS485 interfaces, plus the usual Gigabit Ethernet, USB ports, HDMI video interface, etc… Geniatech NVJ100AI/NVJ100AIX specifications: SoM Geniatech NVJ100AI  – NVIDIA Jetson Nano with CPU – Quad-core Arm Cortex A57 MPCore processor @ up to 1.43 GHz GPU – Maxwell GPU, 128 CUDA core up to 512 GFLOPS (FP16) System Memory – 4GB LPDDR4 Storage – 16GB eMMC flash AI Performance – Up to 472 GFLOPS in 10 Watts mode Geniatech NVJ100AIX – NVIDIA Jetson Xavier NX CPU – Hexa-core NVIDIA Carmel ARMv8.2 64-bit CPU with 6MB L2 + 4MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores Dedicated AI accelerators – 2x NVDLA Engines, 7-Way VLIW Vision Processor System Memory – 8GB LPDDR4 Storage – 16GB […]

Leverage ESP32-S3 AI capabilities with the ESP-DL library

ESP32-S3 AI ESP-DL library

ESP32-S3 is the first Espressif wireless processor with AI instructions, and ESP-DL library for ESP-IDF allows you to easily leverage those AI instructions using boards such as the ESP32-S3-DevKitC-1. The ESP-DL library provides APIs for Neural Network (NN) Inference, Image Processing, Math Operations, and Deep Learning Models that make full use of ESP32-S3’s AI instructions with a 16-bit face recognition model running 6.25 faster, while the 8-bit model is 2.5 times faster than without acceleration. The ESP-DL library can be used as a project component. For instance, it can be used as a submodule of ESP-WHO computer vision framework, by simply copying it to the esp-who/components/ directory. The Model Zoo contains several pre-trained models for (human) face detection & recognition, and cat face detection, with more being developed including color detection and hand-pose detection. Espressif Systems also provides tools to use your own models, and a convention tool allowing you […]

Feature-packed i.MX 8M Plus SBC offers dual GbE, PCIe, RS485, CAN Bus, 4G & 5G modems, and more

OKMX8MP-C i.MX 8M Plus SBC

We’ve already covered plenty of NXP i.MX 8M Plus systems-on-module and carrier boards, but here’s another solution with Forlinx OKMX8MP-C SBC single board computer based on FETMX8MP-C SoM with 4GB LPDDR4 and 16GB eMMC flash. The feature-packed board also offers dual Gigabit Ethernet, 4G and 5G cellular connectivity support via mPCIe and M.2 sockets, multiple display and camera interfaces, RS485 and CAN Bus connector, USB interfaces, various expansion headers, and more… Forlinx OKMX8MP-C specifications: Forlinx FETMX8MP-C System-on-Module SoC – NXP i.MX8M Plus with quad-core Cortex-A53 processor @ up to 1.6 GHz, Arm Cortex-M7 real-time core, Vivante 2D/3D GPUs, 1080p60 video decoder/encoder, 2.3 TOPS AI accelerator System Memory –  2GB, 4GB (default), 6GB, or 8GB LPDDR4 Storage – 16GB eMMC flash Ultra-thin board-to-board connector (4x 80-pin connector with 0.5mm pitch) Supply Voltage – 5V Temperature Range – -40°C to +85°C Dimensions – 62 x 36 mm (8-layer ENIG PCB) Storage – […]

Exit mobile version