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Qt with Toradex and KDAB at Embedded World 2019

Posted by Charbax – April 17, 2019

Qt’s (https://qt.io) partnership with Toradex (https://toradex.com) makes the deployment of Qt extremely easy, allowing deployment to a device from day one. The integration is realized with the Toradex Easy Installer (https://www.toradex.com/tools-libraries/toradex-easy-installer). KDAB (https://www.kdab.com/) shows that a Qt Touch UI can run smoothly even on hardware without a GPU, in this case a Toradex Colibri System on Module featuring a NXP i.MX 6ULL. Qt is a very popular C++ Framework for embedded devices, talking about the history of Qt and Qtopia an old application platform for phones and handhelds such as the Archos PMA430 which I filmed at https://www.youtube.com/watch?v=qoBHeXnAVhY Qt 3D Studio is shown on a Toradex SoM with the high end NXP i.MX8 QuadMax. In the booth walk with Santtu, you can see demos such as Qt on microcontrollers and get some insight into the new developer experience. In the KDAB area, you will see KUEAS a tool which simplifies the workflow for 3D content and GammaRay for debugging. KDAB is a partner of Qt and Toradex and can help with application development.

Arm Neoverse N1 and E1

Posted by Charbax – March 26, 2019

The Neoverse N1 CPU is optimized for a wide range of cloud native server workloads executing at a world-class compute efficiency. This enables an infrastructure transformation where processing is pushed to the edge where data is generated, thereby providing more scalability than moving all data to centralized datacenters.

The Arm Neoverse E1 CPU delivers best-in-class throughput efficiency. It incorporates a new simultaneous multithreading (SMT) microarchitecture design. With SMT, the processor can execute two threads concurrently resulting in better aggregate throughput performance.

The Neoverse E1 delivers 2.1x more compute performance, 2.7x more throughput performance and 2.4x better throughput efficiency compared to the Cortex-A53. The design is highly scalable to support throughput demands for next generation edge to core data transport.

Open Source Android Kernels with Todd Kjos of Google and Bero

Posted by Charbax – March 24, 2019

Todd Kjos of the Android Kernel team at Google, and Bero of the Linaro Mobile Group, talk at Linaro Connect Vancouver, they talk about running Android on the mainline kernel, trying to get closer to mainline, enabling test boards and devices to run mainline Linux. Getting some of the Android specific things that were kept out of the tree into the Linux tree.

Toradex shows Deep Learning Accelerators, Edge AI with Gyrfalcon, Xnor.ai, Movidius and More

Posted by Charbax – March 14, 2019

Toradex shows their deep learning inference solutions at Embedded World 2019, using power-efficient, Arm-based System on Modules, as machine learning and deep learning using neural networks progress is accelerating with successful new applications in computer vision for the embedded world. Toradex simplifies the integration of these technologies into products with its System on Modules, training deep learning models on high-performance computers with frameworks like TensorFlow, with optimizations needed to improve performance on low-power embedded Linux devices such as the ones Toradex partners with Au-Zone, Xnor.ai and Antmicro and others to bring to the embedded market. Implementing these dedicated neural network accelerators can boost the performance of embedded devices while keeping power consumption low, as shown in Toradex’s solutions with Intel Movidius Myriad and Gryfalcon Lightspeeur. Toradex partners with Allied Vision to showcase the brand-new Alvium industrial MIPI CSI-2 camera as a crucial component in the pasta detection demo which uses an Apalis System on Module featuring the NXP i.MX 8 QuadMax SoC with Cortex-A72, Cortex-A53 and dual OpenCL-capable GPU. To learn more about the demo, see CNX-Software's blog post. A real-world application example of deep learning is Manta, a camera-based drowning detection system from Coral Detection Systems which is solar-powered, and the video analytics are done on a Toradex Apalis module featuring a Nvidia TK1 SoC with a CUDA-enabled GPU. If a person is at risk of drowning, the system can alert its user acoustically or via smartphone.

TechNexion shows i.MX8M Mini, Intel Apollo Lake, Qualcomm QCA9377, QCA6174 at Embedded World 2019

Posted by Charbax – March 11, 2019

TechNexion shows their lineup of new devices based on the ultra low-power NXP i.MX8M Mini in their ultra-small PICO form factor combining ARM Cortex-A53 and an M4 microcontroller at embedded world 2019, it supports Android, Linux, Yocto, Ubuntu OS is only 37 x 40 mm and at a low cost. The SoM integrates a fully certified wireless module PIXI-9377 based on Qualcomm QCA9377. They also show their Qualcomm QCA9377, QCA6174 devices and more. TechNexion announces two new SoM families: AXON and FLEX. AXON is a product family of small form factor (58 x 37 mm) modules designed for specialized embedded applications requiring another dimension of I/O flexibility. AXON-IMX8M-MINI is also based on NXP i.MX8M Mini applications processor and features AXON Fabric programmable logic, a specialized IC that provides additional functions including nearly infinite pinmuxing, allowing for true pin-to-pin compatibility between SoC versions. FLEX series, on the other hand, is a low-cost family making use of low-cost LPDDR4 SO-DIMM connector. FLEX-IMX8M-MINI (69.6 x 35 mm) offers HD multimedia streaming and integrated 3D graphics at a price point for the cost sensitive market. TechNexion launches several products based on Intel Apollo Lake processor family (Intel Atom x5-E3930, x5-E3940 or x7-E3950) that can be easily deployed in diverse industrial applications ranging from manufacturing robots and machinery, to radar and sensors on ships, trains and automobiles, to in-vehicle experience, video systems and more. TC-1010-APL and TC-1560-APL Multi Touch HMIs come in 10.1” and 15.6” sizes. On the other hand, TCK3-APL is a ruggedized box PC fully customizable to handle your projects with IoT integration. TechNexion also shows their expanded lineup of fully certified (CE / ETSI / FCC / IC / RCM / TELEC) PIXI and STIX series combo wireless communication modules based on Qualcomm QCA9377 and QCA6174 solutions. The modules are available in several M.2 and in the mini-PCIe form factor.

€299 Archos Diamond bezel-less, Archos Oxygen, Smart Speakers, Smart Lights and 101S Oxygen Tablet

Posted by Charbax – March 7, 2019

Archos Diamond has a 6.39" HD+ 2160x1080 AMOLED display, powered by the MediaTek Helio P70 ARM Cortex-A73/A53 octa-core CPU with an ARM Mali-G72 GPU. Archos Oxygen 68 at 149eur, 63 at 129eur, 57 at 99eur. Archos also shows their Amazon Alexa smart speakers, the 19.90eur Archos Smart LED Lights that work with Google Assistant and Amazon Alexa. Archos 101S Oxygen Tablet based on MediaTek X20 deca-core with 3GB RAM and 32GB Flash, comes with a special charging and speaker dock.

$449 Qualcomm Robotics RB3 Platform Snapdragon 845 Development Board, Embedded World 2019 booth tour

Posted by Charbax – March 3, 2019

Qualcomm and Thundercomm launches the Robotics RB3 Platform 96Boards development board (available for $449 at Thundercomm), supports the development of smart, power-efficient, and cost-effective robots, uses heterogeneous computing and Qualcomm Artificial (AI) Engine to support on-device machine learning, computer vision, robust security, multimedia, Wi-Fi, and cellular connectivity capabilities, based on the Qualcomm SDA845/Qualcomm SDM845 SoC. It includes hardware, software, and development tools, the Qualcomm Robotics RB3 platform is designed to help manufacturers and developers create robotic products, ranging from large industrial and enterprise robots to small battery-operated ones with challenging power. This video also features a tour of the Qualcomm booth at Embedded World 2019, featuring all the LTE for IoT modems such as the MDM9206 and the MDM9205 LTE IoT modem, and development boards available from Qualcomm's partners including Geniatech, Intrinsyc, eInfoChips, Altek, Inforce Computing, Keith and Koep, Shiratech, Basler and more.

Latest from ARM at Embedded World 2019

Posted by Charbax – March 3, 2019

Thomas Ensergueix, ARM Senior Director of Embedded, talks about the ARMv8-M processors that are now shipping, ARM Cortex-M23, and ARM Cortex-M33, implementing more and more advanced security in the Embedded market. ARM Platform Security Architecture (PSA) certification Levels being developed with their partners, and releasing Helium ARMv8.1-M for a next level Machine Learning in the ARM Microcontrollers market. At this event, ARM also with Raspberry Pi foundation celebrates the 25 million Raspberry Pi development boards that have been shipped since I filmed this video at ARM Techcon 2011 as one of the first on the web about the Raspberry Pi.

ARM Helium Armv8.1-M architecture, Machine Learning on ARM Cortex-M

Posted by Charbax – March 3, 2019

Jem Davies, ARM VP, Fellow and GM, Machine Learning Group talks about ARM's new Helium Machine Learning architecture for the ARM Cortex-M based microcontrollers, as a follow on to ARM CMSIS-NN Neural Network Kernels which Boosted Efficiency in Microcontrollers by 5x last year, now ARM launches Helium ARMv8.1-M to improve machine learning performance, with up to 50x on machine learning workloads, about 5x improvement in performance for regular DSP based workloads, as open source software and the new ARMv8.1-M architecture to be integrated in Microcontroller designs to come in the future.

Kopin Golden-i Smart Glass at CES 2019

Posted by Charbax – February 9, 2019

Golden-i is preparing to revolutionize the world of adjustable/customizable life enhancing smart glasses, at its 8th Generation (I have filmed Golden-i prototype developments since 2011 here and here), the Golden-i team has reached this yet smallest Smart Glass implementation that works with USB Type-C Displayport phones (for now on slightly modified firmwares) to output the full potential of the Smart Phone right into the hands free Smart Glass computing user interface.