Raspberry Pi sales rise during coronavirus pandemic

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

Battery powered IoT devices crucial to 2020+ standards

Technology must transfer data to the central system in real time, otherwise it may have negative consequences. If the sensor battery power runs out, a machine failure may stop production for one day or lead to direct danger. If battery life is unbelievable and short, IoT applications will become useless, causing more interference rather than making life easier for its intended purpose. Therefore battery powered IoT devices come as a standard in up-to-date IoT installations

Wireless sensors and sensor networks are one of the elements of the Internet of Things systems and intelligent factories. Replacing the standard sensors and data collection devices with versions that communicate wirelessly gives many benefits, but also enforces a highly thought-out system design that will minimize energy consumption. This is important because these systems must work for many years without servicing. In the article we present the issues regarding the design of systems and forecasting of energy consumption in IoT systems.

Wireless communication vs Battery power

The idea of wireless sensor networks has been around for at least two decades, while the IEEE subgroup working on personal wireless networks defined the 802.15.4 standard in 2003, a year later the first versions of ZigBee appeared. Since then, many varieties of wireless communication have been developed, such as LoRa & NarrowBand-IoT and additional functions introduced, as a result of which designers now have a choice of various open or proprietary protocols. What significantly affects the way the entire project is implemented is energy consumption.

Obrazek posiada pusty atrybut alt; plik o nazwie battery-iot-esp32-1030x386.png
Battery powered IoT installation. Source: https://modberry.techbase.eu/

The basic elements of these systems are sensors that measure physical quantities. Some signal and data processing capabilities are also important. After all, the communication interface is important, which will allow you to pass the measured data on. Such a sensor node should wake up from time to time, make contact with its superordinate controller, transfer data and fall back to sleep again. Battery life depends on the total charge collected. Minimizing this consumption in the long run means that you need to minimize energy consumption during each work cycle. In many cases, the sensor will only work for a small fraction of the time. A measurement that lasts a few milliseconds can be triggered once per second, once per minute, or even less frequently. Therefore, the energy consumed in sleep mode may dominate the total energy consumption.

Battery-ready IoT devices based on ESP32

Battery / SuperCap power support allows the processes and data to be securely executed, saved or transferred, and the operating system to be safely shutdown or reboot, if the power source has been restored. The power failure alert can also be sent to cloud service, to perform custom task, specified by user or self-learning AI algorithm.

The Moduino device is a comprehensive end-point controller for variety of sensors located throughout any installation. It fully supports temperature and humidity sensors and new ones are currently developed, e.g. accelerometer, gyroscope, magnetometer, etc.

Battery powered Moduino ESP32
Battery powered IoT installation. Source: https://modberry.techbase.eu/

ModuinoModBerry symbiosis allows wide range of wake-up/sleep schedule customization, in order to perform best and save energy accordingly to power supply state. Arduino and MicroPython environments provide libraries to control different scenarios of data and power management.

With built-in algorithms and the possibility to program on your own, the TECHBASE’s sleep/wake addon module can wake the device using schedule/timer. Another option is wake on external trigger, e.g. change of input, etc. All the options for sleep, shutdown and wake can be configured for various scenarios to ensure constant operation of devices, safety of data and continuity of work in case of power failure in any installation. Check battery-powered Moduino X0

Almost half of IoT developers use AI in their projects

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.

COVID-19 monitoring set based on Raspberry Pi

COVID-19 monitoring set based on Raspberry Pi

Raspberry Pi devices are often used by scientists, especially for capturing and analyzing biological data. A particularly noteworthy sober project has published news this week.

According to the researchers at UMass Amherst, FluSense is about the size of a dictionary. Includes an inexpensive microphone set, heat sensor, Raspberry Pi and Intel Movidius 2 neural engine. The idea is to use AI on the edge to classify audio samples and determine the number of people in a room at any given time.

Image courtesy of the University of Massachusetts Amherst

We believe that FluSense has the potential to expand the arsenal of health surveillance tools used to forecast seasonal flu and other viral respiratory outbreaks, such as the COVID-19 pandemic or SARS,” Rahman told TechCrunch. “By understanding the ebb and flow of the symptoms dynamics across different locations, we can have a better understanding of the severity of a novel infectious disease and that way we can enforce targeted public health intervention such as social distancing or vaccination.

Source: https://www.networkworld.com/article/3534101/covid-19-vs-raspberry-pi-researchers-bring-iot-technology-to-disease-detection.html

Crowd monitoring with Raspberry Pi

The device distinguishes cough from other sounds. By combining cough data with information about the size of the crowd at your location, you can get an index that predicts the number of people who may be experiencing flu symptoms.

Currently we are planning to deploy the FluSense system in several large public spaces (e.g., large cafeteria, classroom, dormitories, gymnasium, auditorium) to capture syndromic signals from a broad range of people who live in a certain town or city,” they said. “We are also looking for funding to run a large-scale multi-city trial. In the meantime, we are also diversifying our sensing capability by extending FluSense’s capability to capture more syndromic signals (e.g., recently we added sneeze sensing capability to FluSense). We definitely see a significant level of commercialization potential in this line of research.

https://www.raspberrypi.org/blog/flusense-takes-on-covid-19-with-raspberry-pi/
ZigBee Mesh used in industrial IoT applications

ZigBee Mesh used in industrial IoT applications

ZigBee mesh‘s usefulness for IoT is partly due to the fact that it is an open standard. The same products can be used all over the world, which gives customers a large selection of available option. The high competition between products and producers means that the created solutions are innovative, characterized by high quality and give customers a considerable choice. Many suppliers of cooperating elements of this ecosystem mean that they are not limited to any specific brands or specific semiconductor manufacturers.

Competitiveness of ZigBee based solutions

With a maximum data bandwidth of 250 kbps at 2.4 GHz, ZigBee is slower than other popular wireless standards such as Wi-Fi or Bluetooth, but it doesn’t matter in typical sensor applications. ZigBee Mesh is designed to send small data packets at relatively long intervals, which is usually sufficient to collect data from temperature sensors, safety sensors, air quality monitoring systems and similar subsystems. In the meantime, the low bandwidth affects the low power needed for the system to work, so that ZigBee nodes can usually work for many years on a single AAA battery.

ZigBee Power Consumption. Source: ZigBee Alliance
ZigBee Power Consumption. Source: ZigBee Alliance

With low power consumption, ZigBee supporting products typically have a short transmission range – typically from 10 to 15 meters, and the signal they emit is easily disturbed by obstacles on the route, or changes in the environment. However, the beauty of ZigBee devices lies in their work as part of a lattice topology network, where each of them transmits signals between themselves over a total of longer distances. The grid topology also means that damage to a single device will not stop the entire network, as communication can simply be redirected.

Industrial use of ZigBee Mesh

One of industrial IoT devices, supporting ZigBee Mesh technology is eModGATE from TECHBASE. Economical, ESP32-based solution can serve as an end-point in any installation or works well as a gateway, gathering data from scattered sensor mesh across the installation. For more information check Industrial IoT Shop with all the configuration options for eModGATE, including ZigBee modem.

Raspberry Pi Compute Module 4

Raspberry Pi Compute Module 4 coming soon? Check possible specification.

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, probably called Compute Module 4, a new milestone of professional embedded IoT module

Possible Raspberry Pi Compute Module 4 specification

  • Broadcom BCM2711, Quad core Cortex-A72 @ 1.5GHz will highly plausible replace previous Broadcom BCM2837B0, Cortex-A53 64-bit SoC @ 1.2GHz,
  • 1GB, 2GB or 4GB LPDDR4-3200 SDRAM will become a standard options, instead of fixed 1GB LPDDR2 SDRAM,
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • H.265 (4kp60 decode), H264 (1080p60 decode, 1080p30 encode) might replace outdated H.264 (1080p30),
  • and OpenGL ES 3.0 graphics will replace 1.1, 2.0 versions,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

A Lite 4 version of Compute Module is to be expected too, without eMMC and probably limited SDRAM options.

Rasbperry Pi Compute Module 3+

ModBerry, the first Industrial Raspberry Pi application

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded our ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series.

Raspberry Pi 4 Model B

Updated M500 Industrial IoT device with latest Raspberry Pi 4

The newest addition to TECHBASE’s Industrial IoT Ecosystem is an updated ModBerry M500 with latest Raspberry Pi 4 development board, equipped with a 1.5GHz quad-core 64-bit ARM Cortex-A72 processor (approximately 3 times better performance than previous Cortex-A53 powering Raspberry Pi 3+ Model B and Compute Module 3 and 3+). ModBerry M500 can be configured from 1GB / 2GB / 4GB LPDDR4 SDRAM options.

Gigabit Ethernet & USB 3.0 on-board

Another new and appreciated feature is an upgrade to full-throughput Gigabit Ethernet for fast network connection and 2x USB 3.0 / 2x USB 2.0 for additional I/O, data storage extension and fast wireless modem support. ModBerry M500 with Rasbperry Pi 4 has dual-band 802.11ac Wi-Fi and Bluetooth 5.0 on-board. For additional wireless networks expansions, you can choose from variety of Industrial IoT modems from TECHBASE offer, incl. 3G/LTE, NarrowBand-IoT (NB-IoT), Wireless M-Bus, ZigBee, LoRa, Sigfox, Wi-Fi, Bluetooth and many more.

Enhanced Video support for RPi4

The full HDMI port has been replaced with two microHDMI ports with dual monitor support, at resolutions up to 4K, VideoCore VI graphics, supporting OpenGL ES 3.x and 4Kp60 hardware decode of HEVC video. The device is fully compatible with previous versions of Rasbperry Pi based Industrial IoT devices and accessories from TECHBASE.

Raspberry Pi 3 Model B Modberry M500

Raspberry Pi 4 based ModBerry M500 availability

New ModBerry M500 with three variants of Raspberry Pi 4 based devices is available for pre-orders via https://iiot-shop.com/product/modberry-m-series/ For specific delivery time please contact us via e-mail or Live Chat, directly at Industrial IoT Shop.

eSIM support for Rasperry Pi based ModBerry industrial device

The embedded SIM card (eSIM) is a form of programmable SIM card that is directly built in the device. eSIM is a global GSMA specification that enables remote SIM delivery to any supported device, and GSMA defines eSIM as the SIM card for the next generation of connected consumer / professional devices and network solution with the use of eSIM technology.

Easy SIM operator swap

In Industrial IoT applications in which there is no need to change the SIM card, the need of using a connector is avoided, which increases reliability and data security. eSIM can be remotely configured – users can add or change operators without having to physically swap the SIM card from the device. It is often a crucial requirement for the installations where factors such as temperature, water and shock resistance, as well as lack of access forces user to choose remote solutions.

eSIM Raspberry Pi Connvectivity

Raspberry Pi & ESP32-based devices

TECHBASE company is now developing eSIM support for Raspberry Pi and ESP32 industrial devices, such as ModBerry and Moduino X to improve the handling of wireless modem connectivity. To receive an offer for ModBerry/Moduino device with eSIM-based modem, contact our Sales Department via e-mail or Live Chat.

ESP32 Serial Port

Arduino ESP32 Serial Port to TCP Converter via WiFi

In this class, you will create serial port to TCP converter using Arduino code running on ESP32 processor. We will use one of device which uses such processor: Moduino X ESP32. For TCP communication WiFi module will be used.

You will need:

  • Moduino X2 (may be also X1) ESP32 device (check this website to find out more)
  • PC with Linux operating system
  • socat application
  • RS-232/RS-485 port in your computer or USB to RS-232/RS-485 converter (for programmming and testing)

Introduction

In our example data sent to serial port (which is used as terminal port in regular Micropython ESP32 device) will be send via WiFi using TCP protocol. It also decodes incomming TCP packets and writes them to serial port.Then virtual serial port can be opened for that TCP packets and perform serial communication.We will use socat application for that.

You can read the complete tutorial at Hackster.io:

Raspberry Pi Compute Module 3+

New ModBerry options with Raspberry Pi Compute Module 3+

With new Compute Module 3+ options from Raspberry Pi, we upgraded our ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series.

Raspberry Pi Compute Module 3+

New Rasperry Pi’s Compute Module 3+ specs:
Processor: Broadcom BCM2837 64-bit
Core: Quad-Core ARM Cortex A53
Clock: 1.2 GHz
RAM memory: 1 GB LPDDR2
eMMC Flash memory: 8/16/32 GB (CM3 has 4GB RAM only)

RASPBERRY PI COMPATIBLE

Over 10 million Raspberry Pi’s have been sold and the Raspberry Pi is likely to stay as a new standard in the industry. Official Raspbian OS is free operating system based on Linux Debian optimized for the Raspberry Pi comes with over 35,000 packages, pre-compiled software bundled in a nice format for easy installation.

WINDOWS 10 IOT SUPPORT

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

ModBerry 500/9500 devices are still available with previous Compute Module 3 (4GB RAM) and new CM3+ with 8/16/32GB RAM are available on demand. For delivery time, ask our Sales Department via Live Chat, since the small quantities of new modules are available seasonally.