CNX Software - Embedded Systems News

July 15, 2019July 16, 2019 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

RK3229 Powered Q96 Smart Android 9.0 TV Box Sells for $19.99 (Promo)

A few years ago, it was pretty easy to buy ultra-cheap under $20 TV boxes, but with the RAM and flash memory prices increase, companies were unable to provide such good deals. Prices have now come down to earth, so deals may pop-up from time to time, and one of those is for Rockchip RK3229 based Q96 Smart TV box running Android 9.0 with 1GB RAM and 8GB flash that currently goes for $19.99 on GearBest with coupon GBCNQ9601. [Update: GBCNQ962 coupon can be used for the 2GB version bringing down the price to $25.99] Q96 Smart specifications: SoC – Rockchip RK3229 quad core Arm Cortex-A7 processor up to 1.5GHz with Arm Mali-400 MP2 GPU System Memory – 1 or 2GB DDR3 Storage – 8GB or 16GB flash, microSD card slot Video & Audio Output – HDMI 2.0 up to 4K @ 60 Hz + AV port with composite and […]

July 15, 2019 by Stephen Vicinanza - 1 Comment

NXP i.MX 7ULP Enters Mass-Production, EVK and Systems-on-Module Announced

Last year, we wrote about F&S Elektronik Systeme PicoCORE MX7 system-on-module (SoM) powered by NXP i.MX 7ULP processor manufactured with a 28nm FD-SOI process, and that was announced a year earlier. The official launch of the module was planned for Q3 2018, but there have been some delays as LinuxGizmos reports NXP has only started mass production of their i.MX7 ULP this June. With the official launch of i.MX 7ULP, the company also introduced the official i.MX 7ULP Evaluation Board (MCIMX7ULP-EVK) as showcased on Element14’s community and several other companies announced i.MX 7ULP systems-on-modules. Benefits of NXP i.MX 7ULP Processor The i.MX7 ULP family of processors is an extremely power-efficient series, that is utilizing lower power for more functions. The SoC is being touted as the most power-efficient processor that can be obtained that also houses a 3D GPU. Although like the i.MX7, the i.MX 7ULP combines both Cortex-A7 and […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

July 14, 2019August 4, 2019 by Jean-Luc Aufranc (CNXSoft) - 19 Comments

ODROID-H2 Review – Part 2: Ubuntu 19.04

After many months of delays due to Intel not mass-producing Gemini Lake processors, Hardkernel started selling ODROID-H2 again, more exactly ODROID-H2 Rev. B, and the end of last month, and the company sent me a full kit for evaluation. You can check out ODROID-H Rev. B with Type 3 case and the assembly instructions in the first part of the review. I’ve now had time to play with the board using the pre-installed Ubuntu 19.04 operating systems so I’ll report my experience in this second part. Note that ODROID-H2 does not rely on a custom version of Ubuntu, and instead you can download and flash Ubuntu 18.04 or 19.04 ISO directly from Ubuntu website. First Boot and System Information I had already connected two SATA drives inside the enclosure, one SSD and one HDD, but before booting the device I connected an HDMI cable, one Ethernet cable, USB keyboard & […]

July 14, 2019July 15, 2019 by Tiwalade Joanna Okedara - 7 Comments

$6.90 Seeeduino Nano Board | Compatible With Arduino Nano

Seeed Studio has announced the release of yet another compact board. The new board, Seeeduino Nano, is quite similar to the Arduino Nano board, and fully compatible. Another thing about the new board is that it has some different features. Seeeduino Nano comes with only one on-board Grove connector, but it can be expanded with the optional Grove shield adding 8 Grove connectors. More precisely, the shield has 3 Grove digital connectors and 3 Grove analog connectors, as well as 1 Grove I2C connector, and 1 Grove UART connector. Program Code Firstly, the Seeeduino Nano is built around Atmega328P 8-bit AVR microcontroller. This is the same as the Arduino Nano board, meaning you can use the same program code on both boards. There’s no specific Wiki for Seeeduino Nano, but it’s similar, albeit much smaller than the well-documented Seeeduino V4.2. Price of the Seeeduino Nano Board The board is […]

July 13, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

Arm Techcon 2019 Schedule – Machine Learning, Security, Containers, and More

Arm TechCon will take place on October 8-10, 2019 at San Jose Convention Center to showcase new solutions from Arm and third-parties, and the company has now published the agenda/schedule for the event. There are many sessions and even if you’re not going to happen it’s always useful to checkout what will be discussed to learn more about what’s going on currently and what will be the focus in the near future for Arm development. Several sessions normally occur at the same time, so as usual I’ll make my own virtual schedule with the ones I find most relevant. Tuesday, October 8 09:00 – 09:50 – Open Source ML is rapidly advancing. How can you benefit? by Markus Levy, Director of AI and Machine Learning Technologies, NXP Over the last two years and still continuing, machine learning applications have benefited tremendously from the growing number of open source frameworks, tools, […]

July 12, 2019July 12, 2019 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

MediaTek i700 Cortex-A75/A55 AI Processor to Power Automated Stores, Facial Recognition Applications

MediaTek has recently unveiled their i700 octa-core AI IoT Platform, which succeeds their little known MediaTek i500 (MT8385) processor, and features two Cortex-A75 cores, six Cortex-A55 cores, coupled with MediaTek APU 2.0 comprised of a dual-core AI processor, AI Accelerator and AI face detection engine that is said to offers 5x greater performance than the i500.. The new SoC also features an Imagination 9XM GPU clocked at 970MHz, as well as a tri-core ISP with support for a single 32MP camera or a 24MP+16MP dual-camera setup. MediaTek i700 key features & specifications: CPU – 6x Arm Cortex-A55 cores @ 2.0 GHz, 2x Arm Cortex-A75 cores @ 2.2 GHz GPU – Imagination PowerVR 9XM-HP8 (GM9446?) GPU @ 970 MHz MediaTek APU 2.0 AI engine – Dual-core AI processor, AI Accelerator, AI Face Detection Engine; Neuropilot SDK support Memory – Up to 8GB LPDDR4x, 1866MHz Connectivity Cellular – Carrier Aggregation (CA), CDMA2000 […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

July 12, 2019July 12, 2019 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Qualcomm 215 64-bit SoC Targets Entry-level Smartphones

Qualcomm Technologies has recently announced the Qualcomm 215 Mobile Platform quad core Cortex-A53 processor with a dual ISP for entry-level smartphones. Compared to the Snapdragon 212 quad core Cortex-7 32-bit processor, the new Qualcomm Snapdragon 215 64-bit processor offers a 50% increase in CPU performance, and up to 28% increased gaming performance thanks to its Adreno 308 GPU. It also adds an Hexagon DSP for low power audio and sensor processing which allows up to 5 days of audio playback. Qualcomm 215 (QM215) specifications: CPU – 4x Arm Cortex A53 up to 1.3 GHz GPU – Adreno 308 GPU with support for OpenGL ES 3.2, DirectX, OpenCL DSP – Qualcomm Hexagon DSP Memory I/F – LPDDR3 up to 3 GB RAM @ 672 MHz Storage I/F – eMMC 4.5 and SD 3.0 (UHS-I) Display – Up to 1560×720 resolution (19.5:9 aspect ratio); support for external display Video Capture – 1080p30 […]

July 12, 2019July 12, 2019 by Stephen Vicinanza - No Comments

Google Releases Local Home SDK Developer Preview

At Google I/O 2019 the company announced its latest plans to advance the Google Home and the Google Assistant with the Google Local Home SDK. Aimed at providing developers the ability to run actions and use resources on the local device rather than in the Cloud, the developer preview has been released just a few days ago to the dev community and made available after some testing at partner companies such as GE, LIFX, Phillips Hue, TP-Link, and others. Google is reporting that security and reliability will be enhanced almost immediately throughout all devices that use the Google Home platform. The idea is to release an SDK that can attract a more diverse and user-friendly smart home device list. Thus, offering more options to third-party developers to create devices that can have features stored and run locally. The idea is to create a local pathway through Google Home Speakers or […]

Boardcon LGA3576 Rockchip RK3576 System-on-Module designed for AI and IoT applications