This week, as a result of the incredible efforts of the Arm community, the Rosetta@Home project has been working on a 64-bit Arm such as the Raspberry Pi 4, Nvidia Jetson Nano, Rockchip RK3399 single board computer, and other SBCs with 2GB of memory. Released support for sending work units to devices. More.

Sahaj Sarup from Linaro, the Neocortix team, Arm, and the Baker Lab at the University of Washington all played in role helping us port the Rosetta software to aarch64, get it tested in their Ralph (Rosetta ALPHa) staging environment, validate the scientific results, and eventually push it to Rosetta@Home.

Source: https://www.mininodes.com/how-to-run-rosettahome-on-arm-powered-devices/

Now anyone with free computing power on an arm-powered SBC device with a 64-bit operating system can run BOINC to collect data and have a doctor target the COVID-19 peak protein. You can assist your project by performing protein folding calculations that help you (intermedical and scientific burden).

New #CoronaIOT initiative from Industrial IoT manufacturer

Trends indicate a weakening of many sectors of the economy, including the IoT sector. However, we can prevent the upcoming crisis with products and technology keeping up with the inevitable changes in our daily lives.

TECHBASE Group took the challenge of gathering potential partners for projects that serve improvement of health safety and worldwide trend of Social Distancing. The program will periodically present new IoT projects, involving manufacturers, software and hardware developers, new technology influencers and media.

When the news came out that ventilator shortages could be a problem, many saw the need for alternatives to the big manufacturers and rushed to create them. Unlike industrial projects, these projects were open and shared. Currently, Robert Reed and his group are starting to systematically evaluate the ranking of over 80 such open source projects.

Their work is a milestone in public research and development efforts to solve problems. For many ventilator builders, the group recognized the need for independent evaluation and testing of various projects. This control provides important feedback to both designers and future builders. This is a service you can expect from government regulators if they can act very quickly.

Reid and colleagues Geoff Mulligan, Lauria Clarke, Juan E. Villacres Perez and Avinash Baskaran to help to learn about these studies. This includes submission of modular team designs that allow distributed production and unique suggestions for testing and monitoring these systems. This is called VentMon.

Industrial Arduino-like devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilatr. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

Industrial IoT use of ESP32 chip in eModGATE

Latest innovations used in industrial solutions

One of many uses of IoT can be edge devices, dedicated to data management, process control (e.g. with MQTT protocol) and monitoring. Latest ESP32-based eModGATE controller from TECHBASE company is a series utilizing MicroPython environment to provide data management solutions for end-points applications. The eModGATE has built-in Wi-Fi/BT modem and can be equipped with additional NarrowBand-IoT, LoRa, ZigBee, etc.

For example eModGATE eqipped with wireless NB-IoT modem are perfect for industrial automation solutions, e.g. data logging, metering, telemetrics, remote monitoring, security and data management through all Industrial IoT applications.

One of the main problems during the COVID-19 crisis is the lack of adequate ventilator support for patients, a key component of equipment that has a major impact on the breathing of critically ill patients. It’s clear that more ventilators are needed because there aren’t enough devices currently in the hospital for all potential patients who can get infected. Developers use existing creation tools to participate in service calls, for example trying to create a cheap open source Arduino-based ventilators.

Another solution is the AgVa phone ventilator produced by the Indian based company AgVa Healthcare which used one tool we already have: smartphone. The AgVa Phone Ventilator, known officially as the AgVa Advance Pure, is a portable and mobile ventilator system that does the work of a typical ventilator. The vision around the ventilator is that patients should not always have to be stuck to the hospitals all the time.

The primary focus of the ventilator is to provide mechanical ventilation for everyone in need. Its small package ensures easy storage and transportation, whereas its intuitive user interface makes it extremely easy to use even for a non trained person. Finally due to its phenomenally low cost and no need for infrastructure requirement makes it ideal for scaling up the ICU.

Source: https://www.cnx-software.com/2020/04/09/agva-phone-ventilator-connects-to-a-smartphone-to-fight-covid-19/

Industrial Arduino-like devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilatr. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

Industrial IoT use of ESP32 chip in eModGATE

Latest innovations used in industrial solutions

One of many uses of IoT can be edge devices, dedicated to data management, process control (e.g. with MQTT protocol) and monitoring. Latest ESP32-based eModGATE controller from TECHBASE company is a series utilizing MicroPython environment to provide data management solutions for end-points applications. The eModGATE has built-in Wi-Fi/BT modem and can be equipped with additional NarrowBand-IoT, LoRa, ZigBee, etc.

For example eModGATE eqipped with wireless NB-IoT modem are perfect for industrial automation solutions, e.g. data logging, metering, telemetrics, remote monitoring, security and data management through all Industrial IoT applications.

In March, sales of Raspberry Pi single-board computers totaled 640,000. The consumer find it the cheapest way to start tinkering and drove to the second-largest sales month since Raspberry Foundation began selling for home use.

Other uses of Raspberry Pi computers are more directly associated with the appearance of COVID-19. For example, in Colombia, efforts are underway to run a ventilator on a Pi computer, and if successful, it will help solve the problem of the lack of traditional ventilation equipment in this country.

I think what this is telling us is that we’re seeing genuine consumer use of the product. It’s not like your desktop PC – you’re not going to be able play Crysis on it – but if you want a machine you can use to edit documents, use the web, use Gmail and Office 365 and all the baseline use cases of a general purpose computer, the Raspberry Pi 4 is a product we’ve made to get over that bar.

Eben Upton, the Raspberry Pi’s co-creator for Techrepublic

When the Raspberry Pi Foundation asked to talk about how to deal with COVID-19 using Raspberry Pi devices, one of the most common uses he saw was 3D printing with use of Raspberry Pi, especially for 3d-printed faceshields.

Raspberry Pi 4
Raspberry Pi 4

Arduino-based ventilator to help coronavirus patients

A month ago we wrote about Arduino-based solution, similar to the one tested in Columbia. As far as manufacturing and using home-made medical equipment is not advised, the spread of the COVID-19 might push humanity to such solutions. Johnny Lee’s project involves a simple, low-cost ventilator controlled via Arduino.

The idea is that since these machines are basically just blowers controlled by a brushless DC motor, an Arduino Nano equipped with an electonic speed controller could allow it to act as a one. Such a setup has been shown to provide more than enough pressure for a ventilator used on COVID-19 patients. This device has in no way been evaluated or approved for medical use, but it does provide a starting point for experimentation.

Source: https://blog.arduino.cc/2020/03/17/designing-a-low-cost-open-source-ventilator-with-arduino/

New #CoronaIOT initiative from Industrial IoT manufacturer

Trends indicate a weakening of many sectors of the economy, including the IoT sector. However, we can prevent the upcoming crisis with products and technology keeping up with the inevitable changes in our daily lives.

TECHBASE Group took the challenge of gathering potential partners for projects that serve improvement of health safety and worldwide trend of Social Distancing. The program will periodically present new IoT projects, involving manufacturers, software and hardware developers, new technology influencers and media.

Industrial Raspberry Pi powered devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilator. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

ModBerry M500 with Raspberry Pi’s 4 on-board

IoT ONE published their insights of COVID-19 impact on Industrial IoT from different perspectives. The so-called tracker helps predict technology adaptation to consequences of coronavirus outbreak, strategy and business transformations to IoT connected branches, and what operational shifts are to be made to help refocus the resources to prevent the negative market-related effects of COVID-19.

New #CoronaIOT initiative from Industrial IoT manufacturer

Trends indicate a weakening of many sectors of the economy, including the IoT sector. However, we can prevent the upcoming crisis with products and technology keeping up with the inevitable changes in our daily lives.

TECHBASE Group took the challenge of gathering potential partners for projects that serve improvement of health safety and worldwide trend of Social Distancing. The program will periodically present new IoT projects, involving manufacturers, software and hardware developers, new technology influencers and media.

The Colombian medical team tests a fan made with the Raspberry Pi and easily available parts. Robotics engineer Marco Mascolo said he made the project because he knew that machines were in great demand to handle Covid-19. The design and code was published online in March by a Californian, stating that he had ‚no previous experience creating medical devices’.

The ventilator control computer is the most important part. Raspberry Pi can set the air pressure, open and close the valves to adjust if the patient needs full or partial breath support, and Mascorro has integrated the code with open software so that anyone can use or change it for free.

Arduino-based ventilator to help coronavirus patients

A month ago we wrote about Arduino-based solution, similar to the one tested in Columbia. As far as manufacturing and using home-made medical equipment is not advised, the spread of the COVID-19 might push humanity to such solutions. Johnny Lee’s project involves a simple, low-cost ventilator controlled via Arduino.

The idea is that since these machines are basically just blowers controlled by a brushless DC motor, an Arduino Nano equipped with an electonic speed controller could allow it to act as a one. Such a setup has been shown to provide more than enough pressure for a ventilator used on COVID-19 patients. This device has in no way been evaluated or approved for medical use, but it does provide a starting point for experimentation.

Source: https://blog.arduino.cc/2020/03/17/designing-a-low-cost-open-source-ventilator-with-arduino/

New #CoronaIOT initiative from Industrial IoT manufacturer

Trends indicate a weakening of many sectors of the economy, including the IoT sector. However, we can prevent the upcoming crisis with products and technology keeping up with the inevitable changes in our daily lives.

TECHBASE Group took the challenge of gathering potential partners for projects that serve improvement of health safety and worldwide trend of Social Distancing. The program will periodically present new IoT projects, involving manufacturers, software and hardware developers, new technology influencers and media.

Industrial Raspberry Pi powered devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilator. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

ModBerry M500 with Raspberry Pi’s 4 on-board

On March 21, Taiwan’s Central Command Trend Center updated travel restrictions. This has significantly reduced movement, especially between visitors and non-residents within the country. Many countries around the world continue to struggle to stop the COVID-19 pandemic, but many economic activities, including business trips, were forced to stop.

To stay in business without the possibility of personal meetings, many companies rely on remote business solutions to communicate quickly and efficiently. One such solution is a telepresence robot that allows remote employees to physically exist outside of a regular video conference. OhmniLabs specializes in robotics and telepresence technologies, using UpBoard arrays for their devices.

Source: https://up-board.org/up/specifications/

Telepresence Robots use in coronavirus age

Ohmni Telepresence Robots are also ideal for telemedicine and home care, especially when dealing with patients who may have been exposed to an infectious disease. Healthcare professionals can easily operate their telepresence robots using mobile phones, make regular observations, make initial inquiries and share medical records in real time with relevant staff. Telepresence robots allow medical staff to do their jobs without touching the patient and can be easily cleaned and disinfected later.

The AAEON UP IoT Development Board, with thousands of units sold, is one of the most popular boards used by professional manufacturers. UP boards are implemented in many applications such as robots, drones, machine vision, intelligent home, education, transportation and IoT. OhmniLabs chose UP boards for performance, flexibility, and competitive price. The UP board has Intel Atom x5-Z8350 processor and I / O features such as Gigabit Ethernet port, 4 USB 2.0 ports, 1 USB 3.0 port, HDMI, DSI / eDP. UP boards are popular in the embedded market due to their expandability and small size.

Intel-based industrial computer

The first unit that entered the ModBerry series is a device called ModBerry M1000, utilizing the capabilities of UpBoard platform. New solution uses Quad-core Intel Atom x5-Z8350 processor with 4x 1.44GHz frequency (boost up to 4x 1.92GHz), up to 4GB RAM and 64GB eMMC on board. The new platform also features USB 3.0 and Gigabit Ethernet 10/100/1000Mbps for faster communication and supports new operating systems, e.g.: Windows 10, Yocto, Ubuntu, Ubilinux, Android 6.0.

To read more about ModBerry M1000 solution, download PDF datasheet: https://iiot-shop.com/product/modberry-m-series/

ModBerry M1000

The latest research results from IoT Newark developers reveal that 49% of respondents use AI in their IoT applications. There is also a growing concern about user privacy and the more frequent introduction of ready equipment.

35% of respondents think security is the major concern for any IoT implementation, mainly due to the type of data collected from the things (machines) and humans, which is very sensitive & personal. We can expect to see more and more encryption everywhere. Businesses who initiate IoT projects treat IoT security as their top priority.

SBCs the main platform for Industrial IoT

SBC is still the preferred hardware foundation for IoT gates, then 54%, followed by personal projects (30%) and silicon supplier platforms (13%). It is unclear whether the latter includes a commercial computing module. As shown in the graph above, many IoT programmers need third party help, especially for edge-to-cloud communication.

About 45% of respondents use environmental sensors for IoT devices, followed by motion sensors (26%) and optical / image sensors (15%). WiFi (67%) is the most popular wireless technology in Internet of Things projects. The next places are Low cellular energy and Bluetooth, followed by LoRa at 21%. The survey results also include responses to programming languages, cloud platforms, IoT data, project motivation and more.

Artificial Intelligence influencing Industrial IoT

From the end of 2017 to 2018, artificial intelligence-specific processors (AI) began to appear on mobile devices. The goal is to make smartphones more intelligent. As GPUs shrink, AI-related equipment becomes necessary for the Internet of Things.

Support for enterprises from platforms such as Google TensorFlow will be introduced in 2020 with equipment adapted to artificial intelligence. TensorFlow is already optimized for mobile devices and can be quickly launched on single-board computers. In many ways, AI frameworks are better than other mobile frameworks, such as ReactJS. The AI structure is not designed to work with the user interface. It’s perfect for the Internet of Things.

Until the end of 2020, artificial intelligence will be as important for IoT devices as the cloud.

Arduino-based ventilator to help coronavirus patients

In the times we live in, often a desperate measures must be taken. As far as manufacturing and using home-made medical equipment is not advised, the spread of the COVID-19 might push humanity to such solutions. Johnny Lee’s project involves a simple, low-cost ventilator controlled via Arduino.

The idea is that since these machines are basically just blowers controlled by a brushless DC motor, an Arduino Nano equipped with an electonic speed controller could allow it to act as a one.

Such a setup has been shown to provide more than enough pressure for a ventilator used on COVID-19 patients. This device has in no way been evaluated or approved for medical use, but it does provide a starting point for experimentation.

Source: https://blog.arduino.cc/2020/03/17/designing-a-low-cost-open-source-ventilator-with-arduino/

Industrial Arduino-like devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilatr. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

Industrial IoT use of ESP32 chip in eModGATE

Latest innovations used in industrial solutions

One of many uses of IoT can be edge devices, dedicated to data management, process control (e.g. with MQTT protocol) and monitoring. Latest ESP32-based eModGATE controller from TECHBASE company is a series utilizing MicroPython environment to provide data management solutions for end-points applications. The eModGATE has built-in Wi-Fi/BT modem and can be equipped with additional NarrowBand-IoT, LoRa, ZigBee, etc.

For example eModGATE eqipped with wireless NB-IoT modem are perfect for industrial automation solutions, e.g. data logging, metering, telemetrics, remote monitoring, security and data management through all Industrial IoT applications.

Raspberry Pi based controller with Modbus, M-Bus & MQTT support

Raspberry Pi Compute Module 3+ based ModBerry industrial computer series use latest Compute Module 3+, powered by Quad-core Cortex-A53 1.2GHz processor, 1024MB LPDDR2 RAM and up to 32GB Flash eMMC. The module increase the device’s performance up to ten times, maintaining low power consumption and optimal price of the solution. Raspberry Pi based ModBerry features industrial protocol support, e.g. Modbus, M-Bus, SNMP, MQTT and the possibility to add new protocols with ease.

ModBerry protocol modularity

ModBerry 500 hardware modularity

The main features of ModBerry Industrial Computers series are the extension capabilities to increase input/output number, add up to 4 internal wireless communication modems and modules, support additional features such as accelerometer or opto-isolation options.

ModBerry 500 series offers wide range of industrial interfaces e.g.: digital inputs/outputs, analog inputs/outputs, relay outputs, serial RS-232/485 ports, Ethernet, 1-Wire, CAN, USB 2.0, HDMI, LTE/3G/GPRS, NarrowBand IoT/LTE, GPS, ZigBee, WiFi, Bluetooth, LoRa and many more via extension modules.

ModBerry hardware modularity

Raspberry Pi based industrial computer ModBerry expands to new platforms, setting new trends on the industrial automation market. ModBerry series offers now a variety of new processing units, wider range of possible applications due to much higher performance than before. We introduced ModBerry M700 based on NanoPi platform, Intel-based ModBerry M1000 with UpBoard computing module and latest ModBerry 400 to complete Raspberry Pi platform with economical device for further upgrades with extension modules.

ModBerry remote management

The iMod platform guarantees a quick start and full use of the ModBerry computer, without the need to write complicated software. One of the main advantages of the iMod platform is its ease of use and variety of available functionalities. Due to the available SDK, the platform can be extended with new, dedicated functionalities.

iMod can be installed directly onto ModBerry device or using external PC outside the installation (iModBOX). The third option is using dedicated hosting server to host the iMod software (iModHOST).

iModCloud Ecosystem

Another product is iModCloud software-service, which enables full control of ModBerry/iMod devices. Together they form a stand-alone solution – iModCloud Ecosystem, a combination of cloud services with web-based user interface and industrial devices, fully manageable remotely.

iModCloud can be hosted externally, using stable DELL servers to host the cloud service.(iModCloudHOST). For higher data security or depending on project features, iModCloud can be hosted internally, inside the installation (iModCloudBOX) hosted by the dedicated Mini-PC or from portable memory stick (iModCloudSTARTER).

More information Raspberry Pi based industrial device

TECHBASE provides solutions for industrial automation, telemetry, remote access and integration with IT systems. Since 2012 the company has been actively developing its competences in the market. Due to an innovative approach – based on the use of cutting-edge technologies, open standards and easy to maintain products – the company has earned the trust of Customers all over the world.

TECHBASE’s mission is to provide our Customers with tools, which will shorten and simplify the process of system implementation. With open architecture and high level of configurability, maintenance of a system is not expensive anymore.

To read more about ModBerry 500 M3 solution, download PDF datasheet: http://a2s.pl/products/ModBerry/ModBerry_500M3_EN.pdf
Read more about all ModBerry Industrial Solutions at: https://modberry.techbase.eu/