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World’s first industrial-grade eSIM in miniaturized package

Posted on by mixos

Machine-to-machine communication in the Internet of Things (IoT) requires reliable data collection and uninterrupted data transmission. For taking full advantage of the ubiquitous mobile networks, Infineon Technologies AG provides the world’s first industrial-grade embedded SIM (eSIM) in a miniature Wafer-level Chip-scale Package (WLCSP). Manufacturers of industrial machines and equipment ranging from vending machines to remote sensors to asset trackers can optimize the design of their IoT devices without compromising on security and quality.

Deploying eSIM brings a number of advantages for a smooth adoption of cellular connectivity into industrial environments. Device manufacturers can increase their design flexibility due to the eSIM’s small footprint, and simplify manufacturing processes as well as global distribution thanks to a single stock-keeping unit. Customers also have the possibility to change their mobile service provider at any time, for example, if the quality of the network deteriorates or in the event of a better contract from the mobile operator.

However, providing robust quality on a miniature footprint that works even under harshest conditions remains a challenge for silicon providers. Infineon now leaps a step ahead in addressing this challenge: Infineon’s SLM 97 security controller in a Wafer Level Chip Scale Package (WLCSP) measures only 2.5mm x 2.7mm in size, supports an extended temperature range of -40 to 105° Celsius. It provides a high-end feature set fully compliant with the latest GSMA specifications for eSIM. Robust quality and high endurance for industrial eSIM applications reflect Infineon’s strong focus on high quality and the mindset working towards “zero defect”.

The SLM 97 security chip in WLCSP is manufactured at Infineon’s production site in Dresden and Regensburg and now available in volume quantities. More information is available here.

Bitmain Sophon Edge Developer Board brings Deep Learning Capability to your Reach

Posted on by Ayo Ayibiowu

The Beijing based ASIC bitcoin mining rigs giant Bitmain which has been exploring the AI business for some time now has launched a new developer board geared towards bringing powerful deep learning capability to various type of applications through its agile prototype development known as the Sophon Edge Developer Board.

Bitmain Sophon EDB
Bitmain Sophon EDB

The company isn’t alone on this, they have collaborated with 96Boards in bringing this to life. At the core of the board is the BM1880 SoC, which packs a Dual-core Cortex A53 @ 1.5GHz and a Single-core RISC-V processor running at 1GHz. The BM1880 TPU can provide 1TOPs peak performance for 8-bit integer operation, alongside up to 2 TOPS with Winograd convolution acceleration. One major talking point for the board is the mixture between ARM and RISC-V architectures which is expected to promote an exciting combo.

As stated by 96Boards, the Edge Developer board will provide tailored support for DNN/CNN/RNN/LSTM and all sort of Neural Networks operations and models. The hardware comes equipped with 1GB of DDR4 RAM, 8GB off eMMC, a micro SD Card slot, and a 3x USB 3.0 (expected to work for cameras u-disk, USB devices, etc.). Properly equipped in the connectivity department with support for Gigabit Ethernet, WiFi, and Bluetooth.

Comes with a 40-pin low-speed GPIO header as seen in Raspberry Pi boards with a 2X 12S for audio. Video decoding is possible with H.264 decoder & MJPEG encoder/decoder (1x 1080p @ 60fps or 2x 1080p @ 30fps H.264 decoder, 75fps for FHD images)

Below are some of the device specifications:

  • SoC ASIC – Sophon BM1880 dual core Cortex-A53 processor @ 1.5 GHz, single core RISC-V processor @ 1 GHz, 2MB on-chip RAM, and a TPU (Tensor Processing Unit) that can provide 1TOPS for INT8,and up to 2 TOPs by enabling Winograd convolution acceleration
  • System Memory – 1GB LPDDR4 @ 3200Mhz
  • Storage – 8GB eMMC flash + micro SD card slot
  • Video Processing – H.264 decoder, MJPEG encoder/decoder, 1x 1080p @ 60fps or 2x 1080p @ 30fps H.264 decoder, 75fps for FHD images
  • Connectivity – Gigabit Ethernet(RJ-45), Wifi, Bluetooth
  • USB – 3x USB 3.0 for camera, U-disk..
  • I/O Expansion – 40-pin 96Boards low-speed expansion header including 2x I2S audio interfaces among others
  • Power Supply – 12V/2A
  • Dimensions – 85mm x 55mm (96Boards Consumer Edition)
Bitmain Sophon EDB
Bitmain Sophon EDB

The board offers compatibility with the 96boards Linaro and runs Linux while also providing support for some Arduino and Raspberry Pi modules. Deep Learning frameworks like Caffe, ONNX, Pytorch, and TensorFlow will be supported out of the box.

According to the 96boards:

Developers can leverage off-the-shelf modules and develop cutting-edge DL/ML applications, like facial detection and recognition, facial expression analysis, object detection and recognition, vehicle license plate recognition, voiceprint recognition, and more!

The Bitmain Sophon EDB is currently labeled as coming soon and is expected to be available soon since shipping was stated on Nov 30, 2018. The board goes for $129 for international orders and CNY 799.00 in China. It will be available for purchase on the product page here. More information is available on 96boards and Sophon.ai board page.

Compact, low-cost development board carries two USB host ports

Posted on by mixos

emPower-USB-Host: Two USB ports make it easy and cost efficient to build a variety of USB based gadgets * All software free for non-commercial use.

SEGGER introduces emPower-USB-Host, a compact low-cost development board. With two USB host ports, many applications using USB peripherals can be realized with little effort.

Precompiled applications for barcode and smartcard readers, as well as POS displays, LTE sticks, and USB to LAN adapters are available for download, including complete projects for Embedded Studio with source code of these applications. The applications are using SEGGER’s emUSB-Host software API, which makes accessing the different types of USB devices easy.

emPower-USB-Host uses the emLoad bootloader, pre-loaded into the flash of the MCU, to easily change applications in seconds using a USB flash drive. Development of custom applications is also supported. The board has a debug connector, providing full access to the NXP LPC54605J512 MCU with its Cortex-M4 core.

Schematics and PCB layout of the board are available under a Creative Commons license. This way, the hardware can be used as a blueprint for custom devices using two USB host ports.

The multitude of applications that can be realized with this little board and a combination of two USB devices is amazing. From input devices to sensors, terminals to loud speaker and connectivity devices such as WiFi, LAN, CAN, Bluetooth, MIDI, pretty much everything is available as USB device. Very little code is required to implement a complete application

says Rolf Segger, Founder of SEGGER.

It provides a great platform for makers, with almost unlimited possibilities. Anybody can build the hardware based on our schematics and PCB layout, or simply buy a board. Designing software for the board is easy. Anybody with some knowledge of “C” can build something useful, without soldering. It is exciting to make Embedded Systems easily available to anybody anywhere on the planet.

Get more information on the new emPower USB-Host board at: www.segger.com/empowerusbh

OPTIGA™ Trust X – easy to integrate turnkey solution for IoT Security

Posted on by mixos

OPTIGA™ Trust X is a security solution optimized for IoT devices to enable fast, secure, and easy connectivity to cloud services like AWS. It acts as the trust anchor for secured TLS connections and it protect the customers’ data and IP. It is extremely easy to integrate and work with even without knowledge on security, reducing design efforts for faster time-to-market. OPTIGA™ Trust X is a security solution based on a certified security controller. Each device is shipped with a unique elliptic-curve keypair and a corresponding X.509 certificate.

Now Infineon provides open source software libraries for its OPTIGATM Trust X, enabling easy access to its software. Both libraries and documentation are available as open source on GitHub: https://github.com/Infineon/optiga-trust-x

Customers benefit from a direct communication line to developers and will immediately and directly be informed of new versions, features and bug fixes. Be it the integration of standard open source crypto software libraries or the integration of the host code into other systems – both is easily possible now.

Further information: www.infineon.com/optiga-trust-x

NEW Siglent SDS2000X-E series oscilloscopes

Posted on by mixos

Siglent SDS2202X-E 2Ch 200MHz 2 GSa/s Oscilloscope.

SIGLENT’s new SDS2000X-E Series Super Phosphor Oscilloscopes are available in two bandwidths; 200 MHz and 350 MHz. They each have a maximum sampling rate of 2 GSa/s and a standard record length of 28 Mpts. The most commonly used functions can be accessed with its user-friendly one-button design. The SDS2000X-E series employs a new generation of SPO technology. With its excellent signal fidelity, background noise is lower than similar products in the industry. It has a minimum vertical input range of 500 uV/div, an innovative digital trigger system with high sensitivity and low jitter, and a waveform capture rate of 400,000 frames/sec (sequence mode). It also employs a 256-level intensity grading display function and a color temperature display mode not found in other models in this class.

Siglent’s newest oscilloscope offering supports multiple powerful triggering modes including serial bus triggering and decoding. History waveform recording and sequential triggering allow for extended waveform records to be captured, stored, and analyzed. Also included is the deep memory FFT. This math function uses upto 1 M samples for the FFT calculation, providing the SDS2000X-E with very high frequency resolution. The hardware co-processor executes true fast measurement and math to all of 28M sample points so that there is minimal distortion on analysis. It also supports searching and navigating, on-screen Bode plot, 16 channel digital /MSO (optional), an external USB powered 25 MHz AWG function generator module (option), a USB WIFI adapter for wireless control and monitoring (option), and an embedded application that allows remote control via web browser. The features and high-performance of the SDS2000X-E oscilloscopes cannot be matched else anywhere at this price.

Specifications

  • 200MHz, 350MHz bandwidth models
  • Real-time sampling rate up to 2 GSa/s (1 GSa/s per channel, if both
  • channels active)
  • The newest generation of SPO technology – Supports 256-level intensity grading and color display modes • Record length up to 28 Mpts • Digital trigger system
  •  Intelligent trigger: Edge, Slope, Pulse Width, Window, Runt, Interval,
  • Time out (Dropout), Pattern
  • Serial bus triggering and decoding (standard), supports protocols IIC, SPI,
  • UART, CAN, LIN
  • Video trigger, supports HDTV
  • Low background noise with voltage scales from 500μV/div to 10V/div
  • 10 types of one-button shortcuts, supports Auto Setup, Default, Cursors,
  • Measure, Roll, History, Display/Persist, Clear Sweep, Zoom and Print
  • Segmented acquisition (Sequence) mode, divides the maximum record
  • length into multiple segments (up to 80,000), according to trigger
  • conditions set by the user, with a very small dead time segment to capture
  • qualifying events
  • History waveform rec. function (max rec. waveform length is 80k frames)

Price starts at €539 with free shipping. More information: www.siglent.eu

LSM6DSO – Always-on Motion-Processing iNEMO inertial measurement unit

Posted on by mixos

The LSM6DSO is a system-in-package featuring a 3D digital accelerometer and a 3D digital gyroscope boosting performance at 0.55 mA in high-performance mode and enabling always-on low-power features for an optimal motion experience for the consumer.

The LSM6DSO supports main OS requirements, offering real, virtual and batch sensors with 9 kbytes for dynamic data batching. ST’s family of MEMS sensor modules leverages the robust and mature manufacturing processes already used for the production of micromachined accelerometers and gyroscopes. The various sensing elements are manufactured using specialized micromachining processes, while the IC interfaces are developed using CMOS technology that allows the design of a dedicated circuit which is trimmed to better match the characteristics of the sensing element.

The LSM6DSO has a full-scale acceleration range of ±2/±4/±8/±16 g and an angular rate range of ±125/±250/±500/±1000/±2000 dps.

The LSM6DSO fully supports EIS and OIS applications as the module includes a dedicated configurable signal processing path for OIS and auxiliary SPI, configurable for both the gyroscope and accelerometer.

High robustness to mechanical shock makes the LSM6DSO the preferred choice of system designers for the creation and manufacturing of reliable products. The LSM6DSO is available in a plastic land grid array (LGA) package.

Key features

  • Power consumption: 0.55 mA in combo high-performance mode
  • “Always-on” experience with low power consumption for both accelerometer and gyroscope
  • Smart FIFO up to 9 kbyte
  • Android compliant
  • ±2/±4/±8/±16 g full scale
  • ±125/±250/±500/±1000/±2000 dps full scale
  • Analog supply voltage: 1.71 V to 3.6 V
  • Independent IO supply (1.62 V)
  • Compact footprint: 2.5 mm x 3 mm x 0.83 mm
  • SPI / I2C & MIPI I3CSM serial interface with main processor data synchronization
  • Auxiliary SPI for OIS data output for gyroscope and accelerometer
  • Advanced pedometer, step detector and step counter
  • Significant Motion Detection, Tilt detection
  • Standard interrupts: free-fall, wakeup, 6D/4D orientation, click and double-click
  • Programmable finite state machine: accelerometer, gyroscope and external sensors
  • Embedded temperature sensor
  • ECOPACK®, RoHS and “Green” compliant

more information: www.st.com

SMARC-sAL28 module runs Linux With Sensitive GbE ports

Posted on by Tope Oluyemi

Kontron has introduced its SMARC-sAL28 module, which operates on Linux on a dual-core Cortex-A72 LS1028 SoC with -40 to 85°C temperature range. It offers up to 5x GbE ports with Time Sensitive Networking. We can see that this marks the first time Kontron has offered a module we have seen in any form factor with NXP’s dual-core, Cortex-A72 powered QorIQ Layerscape LS1028 SoC. The SMARC-sAL28 is in accord with the IEEE 802.1 TSN (Time Sensitive Networking) specifications, and is suitable for use in industrial IoT or industrial 4.0 systems based on standard Ethernet protocols.

The specifications “guarantees a timely and highly available delivery of data packets” says Kontron.

In industrial environments, such as machine control in production, Ethernet-based TSN with guaranteed latency and Quality of Service (QoS) with time synchronization can replace proprietary fieldbus systems and simultaneously communicate seamlessly to the IT level

This makes real IIoT or Industry 4.0 based on standard Ethernet possible. The 82 x 50mm module runs a Yocto Project based Linux stack (with U-Boot) on the LS1028. The SMARC-sAL28 module will be available in two versions. The first version offers 2 TSN-capable 1 GbBE switched Ethernet ports that can be directly used by the carrier.

The second version supports 4 switched TSN-capable 1 GB ports via the QSGMII interface with an additional TSN-capable Ethernet interface, providing a total of 5x TSN-capable 1 GbE ports using a quad-PHY on the carrier. The module is currently the most cost-efficient solution for implementing TSN-capable IoT gateways. Both versions support up to 4GB DDR3L non-ECC or ECC soldered down memory and offer a 3D GPU as well as eMMC 5.1 onboard memory with a capacity from 2 to 64 GB. Also available is a dual channel LVDS interface for HDMI, DP, or eDP displays (as BOM option) and two PCI Express (PCIe) x1 interfaces.

The SMARC-sAL28 has one SDIO, 4x serial, one I2S, two I2C, two SPI, 12x GPIO and one CAN interface. It is also fitted with with a single USB 3.0, 6x USB 2.0, and 4x RX/TX serial interfaces.  Regarding security features, SMARC-sAL28 supports the Kontron APPROTECT security solution powered by Wibu-Systems. The Wibu-Systems (CodeMeter) provides IP and third party software copy/reverse engineering protection. Kontron APPROTECT Licensing also enables individual application functions like demo purposes, pay per use, or to enable/disable features.

For more information, visit Kontron’s SMARC-sAL28 announcement and product page.

5 Node Raspberry Pi 3 CoM Carrier Board With GbE Switch

Posted on by Tope Oluyemi

MiniNodes has launched a $259 carrier board for developers seeking to build a mini Arm Cluster. The board supports up to 5x Raspberry Pi Compute Modules 3 modules. The 5 Node Raspberry Pi 3 CoM Carrier Board offers a switched Gigabit Ethernet port to enable networking accessibility to each of the modules. A DC jack for power is also available. The board additional slots are designed to add five Raspberry Pi Compute Module 3s, to bring ‘extreme edge’ compute capacity in remote rural communities, factory and building automation, smart city devices, mining, forestry, environmental, and renewable energy installations such as solar, wind, or hydro, and edge AI projects.

Another way you can use the board is right on your desk, and according to MiniNodes, this is a good means of learning compute clustering, Docker Swarm, Kubernetes, or general purpose development of Python, Arm, Linux, and more! The board is said to also be applicable to miniNodes, which offers server hosting based solely on low-powered Arm servers using a series of single-board computers, which includes Raspberry Pi, 96Boards, HiKeys, Pine64s, and Odroids.

There are no detailed specs available for the 8.0 x 4.0 x 4.0-inch board. The various 67.6 x 31mm RPi CM3 modules provide the same 1.2GHz quad-core -A53 SoC as the RPi 3 Model B SBC, but not the faster 1.4GHz 3B+. Also available is 1GB of LPDDR2 RAM and on the standard model, 4GB eMMC. The 5 Node Raspberry Pi 3 CoM Carrier Board is a is an important board that creates a solution that can be used in a host of scenarios to deliver compute capacity to places that were not previously accessible.

The Raspberry Pi System on Modules enables good software compatibility, low power and thermal footprints, and tiny physical dimensions. According to the CNX-Software report, the board has a Gumstix Geppetto logo, which indicates that the board had been built and manufactured using the Geppetto D2O online development platform.

The 5 Node Carrier Board is available for pre-order for $259, with shipments starting this month or January. Additional information can be found on MiniNodes’ 5 Node Raspberry Pi 3 CoM Carrier Board shopping page.

Colour Graphics Library for SD1331 OLED display

Posted on by mixos

David Johnson-Davies published a new project. It is a library for SD1331 OLED display module that can even run on ATtiny85 mcu.

This is a small color graphics library for an SPI 96×64 colour OLED display based on an SD1331. It allows you to plot points, lines, filled and open rectangles, and text with small or large characters.

Unlike most other SPI OLED display libraries this one doesn’t require a memory buffer, allowing it to be run on any processor down to an ATtiny85. It also requires only three pins to drive the display, leaving two pins free on an ATtiny85 to interface to other devices, such as I2C sensors.

Colour Graphics Library for SD1331 OLED display – [Link]

Ultra96 Skin Cancer AI Detection

Posted on by mixos

This is an interesting project using Ultra96 SBC and NCS to detect and classify skin cancer.

According to the Skin Cancer Foundation, half of the population in United States are diagnosed with some form of skin cancer by age 65. The survival rate for early detection is almost 98%, but it falls to 62% when the cancer reaches the lymph node and 18% when it metastasizes to distance organs. With Skin Cancer AI, we want to use power of Artificial Intelligence to provide early detection as widely as available.

Deep learning has been a pretty big trend for machine learning lately, and the recent success has paved the way to build project like this. We are going to focus specifically on computer vision and image classification in this sample. To do this, we will be building nevus, melanoma, and seborrheic keratosis image classifier using deep learning algorithm, the Convolution Neural Network (CNN) through Caffe Framework.

Ultra96 Skin Cancer AI Detection – [Link]

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