artificial intelligence

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on OpenCV AI Kit Lite – A compact 4K Tri-camera kit for computer vision applications (Crowdfunding)

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: […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Wio Lite AI – An STM32H725A Cortex-M7 board for AI vision applications

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Jetson Nano & Xavier NX carrier board offers 3x M.2 sockets, 10x RS232/RS485 interfaces

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Leverage ESP32-S3 AI capabilities with the ESP-DL library

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Feature-packed i.MX 8M Plus SBC offers dual GbE, PCIe, RS485, CAN Bus, 4G & 5G modems, and more

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 – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Qualcomm Flight RB5 5G Platform is a high-end drone reference design with 7 cameras

Qualcomm Flight RB5 5G Platform is a high-end drone reference design with 7 cameras

Qualcomm Flight RB5 5G Platform

Leveraging its involvement in the Ingenuity Mars helicopter, Qualcomm has introduced the Qualcomm Flight RB5 5G platform, a high-end drone reference design with 5G and WIFi 6 connectivity, seven cameras up to 8K resolution, and 15 TOPS of AI performance. The platform is based on Qualcomm QRB5165 octa-core processor, a variant of Snapdragon 865 for robotics, also found in Qualcomm Robotics RB5 Platform with support for Intel RealSense D435i (that should reach end-of-life soon), and provides an upgrade to the company’s Flight Pro drone based on Qualcomm Snapdragon 820 platform. Qualcomm Flight RB5 5G Platform key features and specifications: SoC – Qualcomm QRB5165 with eight Kryo 585 cores up to 2.84 GHz, GPU Adreno 650 GPU with support for Open GL ES and OpenCL, Hexagon 698 DSP with HVX, Hexagon Tensor Accelerator, Qualcomm Spectra 480 ISP with dual 14-bit image signal processing Memory – LPDDR5 up to 2750 MHz, LPDDR4x up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on RealSense end-of-life – Intel is phasing out its RealSense 3D depth cameras

RealSense end-of-life – Intel is phasing out its RealSense 3D depth cameras

realsense end-of-life

We covered Intel Realsense technology ever since it was unveiled at CES 2014 with a 3D depth camera and Nuance Dragon Assitant voice technology for various AI applications including robotics, digital signage, and 3D scanners. Our last post was in January 2021 about a Rockchip RK3399 based industrial-grade 3D vision camera together with Intel’s announcement of RealSense ID facial authentication. But RealSense is going away according to a report by CRN explaining Intel was phasing out RealSense AI depth cameras. The email from Intel reads in part: We are winding down our RealSense business and transitioning our computer vision talent, technology and products to focus on advancing innovative technologies that better support our core businesses and IDM 2.0 strategy … We will continue to meet our commitments to our current customers and are working with our employees and customers to ensure a smooth transition The transition will be orderly as […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on Banana Pi BPI-M2S Amlogic A311D SBC comes with dual GbE, HDMI & MIPI interfaces

Banana Pi BPI-M2S Amlogic A311D SBC comes with dual GbE, HDMI & MIPI interfaces

Banana Pi BPI-M2S

There’s at least one more Amlogic A311D SBC coming our way with Banana Pi BPI-M2S equipped with 4GB RAM, 16GB eMMC flash, as well as two Gigabit Ethernet ports, combines with video interfaces that include HDMI, MIPI DSI & CSI, as well as two USB ports. This news comes just a few after we wrote about Geniatech DB10 AI development board based on Amlogic A311D hexa-core Cortex-A73/A53 processor and noted there were few platforms based on the SoC, apart from Khadas VIM3 SBC, and a few others. Banana Pi BPI-M2S SBC specifications: SoC – Amlogic A311D hexa-core processor with 4x Arm Cortex-A73 cores, 2x Arm Cortex-A53 cores, Arm Mali-G52 MP4 (6EE) GPU with OpenGL ES 3.2, Vulkan 1.0 and OpenCL 2.0 support, 5 TOPS NPU System Memory – 4GB LPDDR4 Storage – 16GB eMMC flash (option up to 128GB), MicroSD card slot Video interfaces HDMI 2.1 output up to 4Kp60 […]

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