Category: Internet of Things

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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.

$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.

ST booth tour at Embedded World 2019 (Part 2) STM32L5, STM32G0, FOTA over LoRAWAN, Stellar

Posted by Charbax – March 3, 2019

This video is Part 2 of the booth tour at the STMicroelectronics booth at Embedded World 2019, featuring STM32L5 ARM Cortex-M33, STM32G0 and USB-C, FOTA using LoRaWAN, STM32WB mesh + LTE, STM32WB BLE Dual + Multilink, Maker moment, Stellar and Asset Tracking.

You can jump to the different parts of the video by clicking on these time codes here:
STM32L5: 00:05 ARM Cortex-M33
STM32G0 and USB-C: 04:40
FOTA using LoRaWAN: 09:08
STM32WB mesh + LTE: 11:26
STM32WB BLE Dual + Multilink: 14:31
Maker moment: 18:01
Stellar: 23:49 ARM Cortex-R52
Asset Tracking: 27:06

STMicroelectronics playlist of all ST Embedded World 2019 videos you can find here.

ST booth tour at Embedded World 2019 (Part 1), STM32MP1, STM32Cube.AI, ST60

Posted by Charbax – March 3, 2019

Welcome to the Embedded World 2019 tour (Part 1) at the STMicroelectronics booth, featuring ST Maker Lab Apple 1 and Sega 1000 emulator, the new STM32MP1 heterogeneous single or dual ARM Cortex-A7 and Cortex-M4 cores architecture, the Cortex-A7 core provides access to open-source operating systems (Linux/Android) while the Cortex-M4 core leverages the STM32 MCU ecosystem. Featuring partners on the STM32MP1 such as Kontron, Octavo Systems, Timesys and Shiratech. Then featuring STM32Cube.AI Artificial Intelligence on STM32, ST60 60GHz RF link.

Here you can jump to each part of this video:
ST Maker Lab: 00:41
STM32MP1: 03:42 heterogeneous single or dual ARM Cortex-A7 and Cortex-M4 cores architecture, the Cortex-A7 core provides access to open-source operating systems (Linux/Android) while the Cortex-M4 core leverages the STM32 MCU ecosystem.
STM32MP1 Kontron (System on Module): 10:00
STM32MP1 Octavo Systems (System in Package): 13:03
STM32MP1 Shiratech: 16:03 96Boards Avengers96 and IoT Cube
STM32MP1 Timesys: 18:48
STM32Cube.AI (artificial intelligenc on STM32): 21:38
ST60 60GHz RF link (sparclink): 25:48

STMicroelectronics playlist of all ST Embedded World 2019 videos you can find here.

Microsoft’s IoT strategy

Posted by Charbax – February 19, 2019

Digital transformation is happening across the industry and in every corner of the world. But what does success look like? And how can companies avoid common pitfalls? General Manager of IoT Business Acceleration, Tony Shakib, shares insights from the trenches along with learnings from the real world, and how those insights are driving Microsoft's approach to the Internet of Things.

Tony Shakib leads Microsoft's IoT Business Acceleration (IBA) team inside Azure engineering organization and drives the Azure IoT Eco-system and strategic business engagements for top 100 IoT Enterprise Accounts, Partners, Developers and ISV/Startups.

Tony is accountable for IoT customer value realization, business development, rapid solution deployment, joint customer GTM programs and accelerating time and process to large-scale commercial deployments.

The IBA team focuses on top industries such as IIoT/Manufacturing, Mobility/Connected Vehicle, Smart Spaces/Utilities, Retail, Healthcare and Agriculture.

Microsoft IoT team develops unique IoT/AI/ML technologies and digital solutions for all industries. Microsoft is also the leader in the hybrid intelligent cloud and edge architectures and provides a comprehensive Platform-as-a-service and Software-as-a-service (IoT Central) capabilities for rapidly developing and deploying massively scalable IoT applications.

Tony has more than 27 years of business leadership and management experience in the communications space. As Vice President of IoT Vertical Business Solutions for Cisco, Tony led Cisco's Internet of Things business development, Industrial solutions creation, Vertical thought leadership and customer relevancy across Process Manufacturing (Oil & Gas and Mining), Discrete manufacturing, Transportation, Utilities, Smart City, M2M, Retail and Defense verticals. He holds a Bachelor of Science degree in Computer Engineering with honors in Math from McMaster and Brock Universities in Ontario, Canada.

Microsoft is simplifying IoT so every business can digitally transform through IoT solutions that are more accessible and easier to implement. Microsoft has the most comprehensive IoT portfolio with a wide range of IoT offerings to meet organizations where they are on their IoT journey, including everything businesses need to get started — ranging from operating systems for their devices, cloud services to control them, advanced analytics to gain insights, and business applications to enable intelligent action.

Filmed at IDTechEx Show! USA
Learn more about our upcoming events:
IDTechEx Show! Europe https://www.IDTechEx.com/Europe
IDTechEx Show! USA https://www.IDTechEx.com/USA

Targus USB Docks

Posted by juliusaugustus – January 29, 2019

The Targus USB C (3.1) dock has 4 hdmi outputs. The Dock also includees ethernet and three 3 usb ports, 1 USB C Power and USB A power. The price is 275 dollars.

The Targus IOT dock includes USB A ports, 100w laptop charging, ethernet, 2x hdmi and 2x Displayport. The IOT enables the dock to be used with a smart power supply enabling it to be managed from the cloud. Price is TBD.

Arrow shows latest 96Boards and Mezzannine boards

Posted by juliusaugustus – November 21, 2018

Arrow shows some of their latest 96Boards and Mezzanine boards such as the Renesas ANT96 board based on the Renesas RZ Family Renesas RZ/G1E processor featuring a dual-core Arm Cortex-A7. Novtech Meerkat i.MX7D and Chameleon Cyclone V Altera/Intel FPGA board. NextBiometrics NB-2023-S fingerprint sensor mezzanine board, STM32 Sensor mezzanine board and more. Arrow has more than 5 Mezzanine boards in the pipeline and at least 2 base boards too. Oxalis Layerscape LS1012A.