Category: Chip provider

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$129 Elephone A4, $149 Elephone A4 Pro, MT6739V, 3GB+16GB

Posted by Charbax – October 13, 2018

Tri-bezel-less smartphone with Notch by Elephone A4 available for $129 at Gearbest runs Android 8.1 on MT6739 Quad-Core processoran 5.85 inch screen with 1440*720 pixels resolution, supports five points multi-touch 18:9 HD full screen. 3GB RAM and 16GB ROM storage supports up to 128GB TF card. 5MP front camera 8 MP rear camera. Unlocking by side finger print sensor and face unlock with 128 invisible dots recognized. (text by flatslap5657 of Fiverr)

Get early access to all videos (weeks/months before everyone else), get business cards to companies filmed, support my video-blogging work, become a member at http://youtube.com/charbax/join

$339 Elephone U Pro 5.99” curved AMOLED, Snapdragon 660

Posted by Charbax – October 13, 2018

5.99'' display that sports a 2160*1080 full screen resolution and a screen-to-body ratio of 87.0%. Available for $339 at Gearbest Face Unlock with *FOTA later in 0.08 sec.Snapdragon® 660 CPU. 6GB RAM+128GB ROM large storage. With O.S Android 8.0 .13MP+13MP double rear camera and 8MP front camera. 3550 mAh battery which supports to wireless charging and quick charging charged in 1.5 hours fully. (text by flatslap5657 of Fiverr)

Get early access to all videos (weeks/months before everyone else), get business cards to companies filmed, support my video-blogging work, become a member at http://youtube.com/charbax/join

$110 Doogee VE with a Notch, in-display fingerprint unlock

Posted by Charbax – October 12, 2018

DOOGEE is going to apply another innovative design, in-display fingerprint unlocking, to the new generation of DOOGEE V. With a sensor inserted inside the screen, there is nothing getting in the way on the surface now. Just immerse yourself in the full-display with wide viewing angle experience.
https://www.pdevice.com/product/doogee-v-price-specs
https://www.doogeemall.com/en

DOOGEE VE Smartphone Display very awesome with round CornerHaving followings properties.
Display: 6.18* 19:9 HD+
CPU: MT6750
Core: 4*Cortex –A53 1.5GHz+4*Cortex-A53 1.0GHZ
Rear Camera: 8.0MP
Memory: 4GB RAM +64GB ROM
Battery: 5000mAh 5v-1A
Finger print: Rear Fingerprint
OS: Android 8.1
Price: $110 U.S for distributers.
DOOGEE VE Smartphone.
Display: 6.21* 19:9 AMOLED FHD+
CPU: MT6771(P60)
Core: Octa Core 1.8GHz + 2.0GHz
Rear Camera: 16.0 MP + 8.0MP
Front Camera: 16.0 MP
Memory: 6GB/8GB RAM +64/128GB ROM
Battery: 4000mAh 9v-2A
Finger print: In screen Finger Print Sensor
OS: Android 8.1
Price: $200+ U.S for distributers.
(text by freelancer)

Google IoT Demo for Zephyr RTOS With TF-M Secured on Musca

Posted by Charbax – October 6, 2018

In this demo, the Trusted Firmware M is providing the SPE and JWT sign, Zephyr is providing the NSPE and The Google IoT application is running on Zephyr using secure services from Trusted Firmware M.

- Platform Security Architecture (PSA) is an IoI security framework being developed by Arm.
- Trusted Firmware M (TF-M) is an open source project to provide PSA compliant secure firmware for M profile devices.
- Zephyr is a Linux Foundation Collaboration Project to provide a small, scalable RTOS for connected, resource constrained device.
- Arm Musca-A1 subsystem based on Armv8-M which allows partitioning the SW execution in Secure and Non Secure domain.

KernKonzept Open-Source Automobile Safety

Posted by Charbax – October 5, 2018

KernKonzept talks Open-Source Automobile Safety: EB Corbo and the L4Re microhypervisor:
- Renesas R-Car3 H3 Platform
- Virtualized Cluster and IVI
- Based on AGL
- Graphic Virtualization with Imagination's PowerVR Graphics

OpenCV Color Segmentation and Tracking on DragonBoard 820c

Posted by Charbax – October 5, 2018

This demo is based and tested on the DragonBoard 820c, but should be able to work on varying platforms. In summary, it counts objects by color passing in the same direction through the camera field of view. It can count multiple objects simultaneously. The OpenCV functionality leveraged by this demo includes the following:

- Object segmentation using color
- Valid object identification by size
- Frame stitching to track and count multiple simultaneous moving objects by color
- Provides hooks to monitor performance when algorithm changes to - - OpenCV library calls are made for identification tuning
- Provides hooks to export results to the cloud

Fujitsu A64FX Post-K Supercomputer: World’s Fastest Arm Processor

Posted by Charbax – September 24, 2018

Fujitsu A64FX is the new fastest Arm processor in the world, built on 7nm it has 2.7 TFLOPS performance per chip suitable for high-end HPC and AI, they aim to create with it the world's fastest supercomputer with it by 2021. A64FX is the first processor using the new Armv8-A Scalable Vector Extension (SVE) to accelerate a wide range of large-scale scientific computing, including deep learning. Fujitsu is working closely with Linaro to enrich the Arm HPC ecosystem. A64FX will be featured in the post-K computer, a supercomputer being developed by Fujitsu and RIKEN as a successor to the K computer, which achieved the world's highest performance in 2011. The organizations are striving to achieve post-K application execution performance up to 100 times that of the K computer. It offers a number of features, including broad utility supporting a wide range of applications, massive parallelization through the Tofu interconnect, low power consumption, and mainframe-class reliability.

You can watch Fujitsu's keynote at Linaro Connect here

Start using ARM Servers now with Ed Vielmetti of Packet

Posted by Charbax – September 21, 2018

In this video, @vielmetti, director of @worksonarm, discusses technical issues regarding integration, testing, Cloud Native and network workloads, and directions for the project for the coming year.

The Works on Arm cluster is run by Packet for Arm to provide test, development, and data center CI/CD resources for community projects to build on arm64. The project also includes a weekly video office hours, a weekly newsletter, and a channel on the Packet Community Slack and Freenode IRC (#worksonarm) for community discussion.

$50 eduMIP with 96Boards, BeagleBone, Raspberry Pi, with Thomas Bewley (UCSD Professor)

Posted by Charbax – September 20, 2018

UC San Diego Professor Thomas Bewley discusses his Segway-like educational robotics kit, eduMIP, based on the BeagleBone Blue at Linaro Connect Vancouver 2018. This inexpensive kit (available online, for $128, at Renaissance Robotics https://www.renaissancerobotics.com/eduMIP.html) is used in his Embedded Control & Robotics course at UCSD, which Prof Bewley is currently working on taking online as a MOOC. It is also beginning to be used by a community of researchers and educators at other universities around the world. In this video, Prof Bewley also introduces his early efforts in developing new (and, significantly higher-power) motor-control daughterboards in the 96boards and Raspberry Pi formats. He also discusses eduMIP v.2 and some other advanced prototypes in his lab, as well as the Robot Control (RC) software library that drives this hardware, and will ultimately enable easy porting of control codes across the BeagleBone, Raspberry Pi, and 96boards linux-based product lines, in addition to deployment onto very-low-cost custom targets based on Cortex M based processors running an RTOS. His ultimate goal with this ambitious effort is to facilitate a much more seamless pathway from lab prototype to commercial product.

ARM desktop for everything, Daniel Thompson uses it for everything

Posted by Charbax – September 16, 2018

Daniel Thompson has exclusively been using the ARM developerbox you can read more about it here: https://www.96boards.org/product/developerbox/ and you can see Daniel Thompson's keynote at Linaro Connect here: https://www.youtube.com/watch?v=uAfpd3qFOZg