Category: Processors

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on Xiaomi Mi Pad 3 Tablet Launched with Mediatek MT8176 Hexa-Core Processor, 7.9″ Display

Xiaomi Mi Pad 3 Tablet Launched with Mediatek MT8176 Hexa-Core Processor, 7.9″ Display

Xiaomi Mi Pad 2 was powered by an Intel Cherry Trail, but the Chinese company has decided to go back to ARM for the third iteration of their MiPad tablet as they used Mediatek MT8719 hexa-core Cortex A72/A52 processor with 4GB RAM, 64GB flash, and the same 7.9″ display with 2048 x 1536 resolution. Xiaomi Mi Pad 3 specifications: SoC – Mediatek MT8176 hexa-core processor with 2x ARM Cortex A72 cores @ 2.1 GHz, 4x ARM Cortex A53 cores @ 1.7 GHz, and Imagination PowerVR GX6250 GPU System Memory – 4GB LPDDR3 Storage – 64GB eMMC flash, no micro SD slot Display – 7.9″ capacitive touch screen IPS LCD display with 2048 x 1536 resolution Audio – 3.5mm headphone jack, Connectivity – Dual band 802.11 b/g/n/ac WiFi, Bluetooth 4.2 LE Camera – 5MP front-facing camera, 13 MP rear camera with auto-focus, dual LED flash USB – 1x USB type C […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Microsoft is Working with Mediatek on Project Sopris Secure WiFi MCU

Microsoft is Working with Mediatek on Project Sopris Secure WiFi MCU

There are serious security issues with the Internet of Things at all levels: hardware, software, network, and end-users. Microsoft Research NExT Operating Systems Technologies Group has been tasked with “exploring the goal of securing the vast number of low cost Internet connected devices coming online” with Project Sopris. They have shared their first technical report that identifies “seven properties of highly secure devices”, and describes their experiments towards designing microcontroller based prototype devices adapted from Mediatek MT7687 MIPS microcontroller, and exhibiting those seven properties. The seven properties identifies by Microsoft team include: Hardware-based Root of Trust – Unforgeable cryptographic keys generated and protected by hardware. Physical countermeasures resist side-channel attacks. Small Trusted Computing Base – Private keys stored in a hardware-protected vault, inaccessible to software. Division of software into self-protecting layers. Defense in Depth – Multiple mitigations applied against each threat. Countermeasures mitigate the consequences of a successful attack on […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Embedded Systems Conference 2017 Schedule – May 3-4

Embedded Systems Conference 2017 Schedule – May 3-4

The Embedded Systems Conference 2017 will take place over two days in Boston, US on May 3-4, and the organizers have published the schedule of the event. Even if you’re not going to attend, you’ll often learn something or find new information by just checking out the talks and abstracts, so I’ve created my own virtual schedule with some of the most interesting sessions. Wednesday, May 3rd 08:00 – 08:45 – Combining OpenCV and High Level Synthesis to Accelerate your FPGA / SoC EV Application by Adam Taylor, Adiuvo Engineering & Training Ltd This session will demonstrate how you can combine commonly used Open source frameworks such as OpenCV with High Level Synthesis to generate a embedded vision system using FPGA / SoC. The combination of OpenCV and HLS allows for a much faster algorithm development time and consequently a faster time to market for the end application. 09:00 – 09:45 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on New Espressif ESP32 Single and Dual Core Processors in 5x5mm Package, Optional Embedded Flash Coming Soon

New Espressif ESP32 Single and Dual Core Processors in 5x5mm Package, Optional Embedded Flash Coming Soon

Espressif ESP32 was launched last year as a dual core Tensila processor with WiFi and Bluetooth connectivity, relying on external flash for storage, and packaged into a QFN48 6x6mm package. Espressif recently updated ESP32 datasheet, and the guys at ESP32net noticed three new versions of the processor with a QFN48 5x5mm package, one version including 2 MBytes embedded flash, and another version with a single core. The three new versions of ESP32 all come with the same WiFi 802.11b/g/n ad Bluetooth 4.0 LE connectivity and a QFN 5×5: ESP32-D0WD dual core processor without embedded flash ESP32-D2WD dual core processor with 16 Mbit embedded flash ESP32-S0WD single core processor without embedded flash ESP32-D0WD different with ESP32-D0WDQ6 is only the smaller package, while ESP32-D2WD brings 2MB embedded flash too possibly lowering the price of current solution with external flash, and ESP32-S0WD might be closer to ESP8266 price thanks to its single core, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 21 Comments on Shenzhen Xunlong Releases Two Orange Pi Boards with 64-Bit ARM Processor, 2GB RAM

Shenzhen Xunlong Releases Two Orange Pi Boards with 64-Bit ARM Processor, 2GB RAM

Shenzhen Xunlong has already been selling 64-bit ARM development board with their Orange Pi PC 2 & Orange Pi Zero Plus 2 H5 boards based on Allwinner H5, as well as Orange Pi Win board powered by Allwinner A64 processor. However, so far none of them are equipped with much memory, with the only options being 512MB or 1GB RAM. The company has recently launched  two new boards with 2GB RAM, namely Orange Pi Win Plus featuring Allwinner A64 SoC, and Orange Pi Prime equipped with Allwinner H5 SoC. Orange Pi Win Plus That board is just an update to Orange Pi Win board with the only difference I could find being the 2GB RAM: SoC – Allwinner A64 quad core ARM Cortex A53 processor @ 1.2 GHz with Mali-400MP2 GPU System Memory – 2GB DDR3 Storage – 2MB SPI flash, micro SD slot up to 64GB, footprint for optional […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 34 Comments on FriendlyELEC Introduces $12.99 1-bay NAS Dock Kit for NanoPi NEO & NEO 2 Boards

FriendlyELEC Introduces $12.99 1-bay NAS Dock Kit for NanoPi NEO & NEO 2 Boards

NanoPi NEO is a tiny board with Fast Ethernet and USB 2.0 interface, so in theory it could make a nice low-end NAS as long as you don’t need the best performance. As always the problem is that there was no case for it, but FriendlyELEC changes that as they just launched a 1-bay NAS Dock Kit for NanoPi NEO / NEO 2 board selling for just $12.99 (promotional price at launch). The kit comes with the following: 1-bay NAS Dock expansion board with JMicron JM20329 USB to SATA bridge SATA connector for 2.5″ HDD drive Extra USB host port On/off switch, and dual color status LED Header to connect NanoPi NEO board 12V DC power input Dimensions – 151 x 89.7 mm NS-120 aluminum enclosure (154 x 100 x 47.5 mm, 4141 grams) Heatsink set for NanoPI NEO M3 6mm screws, M2.5 6 mm screws Four rubber pads Front […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 11 Comments on Sen5 Dual Tuner Android Set-top Box Review – Part 1: Unboxing and Teardown

Sen5 Dual Tuner Android Set-top Box Review – Part 1: Unboxing and Teardown

There are only a few companies manufacturing Android TV boxes with tuners with names like VideoStrong and WeTek coming to mind. Shenzhen Sen5 Technology is another one, and the company sent me one of their DVB combo Android TV boxes for review without providing that many details. So let’s have a look at what I received. Sen5 Android Combo STB Unboxing The product might be not ready for retail just yet, as I received it in an old carton box. Once I remove all the bubble wraps, I ended up with the device, an IR remote control, and a 12V/1.5A power supply. Once the product is actually launched I’d expect you’d receive a retail package and a user’s manual too. The box itself is made of plastic with plenty of randomly arranged (ventilation) holes on the top. The front panel comes with an IR window and a “Standby button”, one […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 15 Comments on Open Source ARM Compute Library Released with NEON and OpenCL Accelerated Functions for Computer Vision, Machine Learning

Open Source ARM Compute Library Released with NEON and OpenCL Accelerated Functions for Computer Vision, Machine Learning

GPU compute promises to deliver much better performance compared to CPU compute for application such a computer vision and machine learning, but the problem is that many developers may not have the right skills or time to leverage APIs such as OpenCL. So ARM decided to write their own ARM Compute library and has now released it under an MIT license. The functions found in the library include: Basic arithmetic, mathematical, and binary operator functions Color manipulation (conversion, channel extraction, and more) Convolution filters (Sobel, Gaussian, and more) Canny Edge, Harris corners, optical flow, and more Pyramids (such as Laplacians) HOG (Histogram of Oriented Gradients) SVM (Support Vector Machines) H/SGEMM (Half and Single precision General Matrix Multiply) Convolutional Neural Networks building blocks (Activation, Convolution, Fully connected, Locally connected, Normalization, Pooling, Soft-max) The library works on Linux, Android or bare metal on armv7a (32bit) or arm64-v8a (64bit) architecture, and makes use […]