New features of Edge TPU brought to ModBerry series

In October 2020, with the release of the latest Compute Module 4 from Rasbperry Pi Foundation, TECHBASE announced an upgraded device from ModBerry 500 series, called ModBerry 500 CM4. Thanks to the high-performance PCI-Express bus introduced in Compute Module 4 and Raspberry Pi community, the device itself presents support for a wide range of new applications, such as use of Google’s Artificial Intelligence modules at ease.

Therefore, TECHBASE designed a new device, called ModBerry AI GATEWAY 9500-CM4, utilizing the vertical format of ModBerry 9500, latest Compute Module 4 and Google’s Coral TPU. Installation-ready AI GATEWAY allows direct application in industrial fields.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with Coral TPU enhancement 

Neuron network capabilities enhance CM4-based devices, not only collecting and sending data, but also allows local data change predictions and allows direct management on-site. This feature gives the possibility for various applications, such as data analysing and establishing trends predictions, smart alarms and smart monitoring, local notification control, etc.

Used Edge TPU coprocessor via PCI-Express bus is capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). Google Coral easily integrates with Raspberry Pi Compute Module in Linux and optionally in Windows with full support of TensorFlow Lite framework and AutoML Vision Edge solution.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU
TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with available expansion cards 

ModBerry AI GATEWAY 9500-CM4 can be equipped with serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer, OLED screen and many more features like TPM Security Chip, eSIM and SuperCap backup power support. 

ModBerry AI GATEWAY 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem, interchangeable with Coral TPU)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ModBerry AI GATEWAY 9500-CM4 availabilityFirst prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of AI GATEWAY will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here.

The latest research report on global IoT-based smart homes evaluates the opportunities and current market landscapes, and provides detailed analysis and updates of relevant sections affecting global IoT-based smart homes. This research provides in-depth insight into key market changes including drivers, constraints, trends and opportunities for IoT-based smart homes. The main purpose of market research is to provide exclusive information on how the market will function in the forecast period from 2020 to 2036.

What are the developmental trends in Smart Home Based on IoT sectors that will impact the market?

Updated ClusBerry device for Smart Home and developers

A new addition to TECHBASE’s Industrial IoT Ecosystem is a variation of recent cluster device, ClusBerry based on multiple Raspberry Pi Compute Module 4 and custom cluster board allowing free configuration from two up to eight modules. Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with up to 4 Google Coral Edge TPU modules.

You can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module. The modules are connected to internal Ethernet Switch and USB OTG to provide such feature and allow quick heal of the cluster.

Raspberry Pi Compute Module 4 Cluster for Smart Home

For home applications and with the nod to software developers, we released ClusBerry device in less industrial casing, to be used in the comfort of own house – on your desk next to PC or wall-mounted in any convenient place. ClusBerry for Home is fully modular as it’s industrial version and offers the same performance and options.

More information here: https://clusberry.techbase.eu/

New features of multiple Compute Modules 4 brought to new ClusBerry series

Accompanying the release of ModBerry 500-CM4 and AI GATEWAY 9500-CM4, we present to you a cluster version of the device, called ClusBerry 9500-CM4. Main difference between standard Gateway and ClusBerry is the possibility to include multiple Compute Module 4 in one device, as well as the intended suitable amount of wired and wireless interfaces, suited for the project.

Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device. 

Reason for use of Raspberry Pi CM4 cluster in ClusBerry 9500-CM4

Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi. However, the practical effectiveness of such solutions so far has not been of interest for several reasons. First of all, these solutions were most often associated with many mechanical limitations and the structure of the matrix itself required excessive wiring, preventing failure-free operation and the cost of the entire maintenance of the structure.

Raspberry Pi Compute Module 4 Cluster

This is where Raspberry Pi Compute Module can shine, but due to the hardware speed limitations of the buses in this module, it was not completely effective and was rather a development platform. Altho the introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry 9500-CM4 opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

Wide range of ClusBerry modules

ClusBerry 9500-CM4 supports up to 8 cluster modules and comes with a variety of interchangeable modules to choose from, including:

  • Standard 9500-CM4 cluster module with Compute Module 4 and chosen configuration:
    • I/O Controller with range of DI, DO, AI, 1-Wire, RS-232/485 and CAN interfaces
    • Communication Gateway with wired (1/2x Ethernet, Serial Ports) and wireless interfaces (LTE-cat.M1, 4G, 5G, LoRa, ZigBee, Z-Wave, Wireless M-Bus)
    • AI Gateway with 1x Coral Edge TPU via PCIe M.2, introduced in December 2020: https://iiot-shop.com/product/ai-gateway/ or up to 4x Coral Edge TPU via USB3.0
  • NAS File Server with 2x SSD SATA III and RAID support, managed with Nextcloud or ownCloud software
  • USB3.0 Hub for 5G communication, Modems, AI Cluster and peripherals
  • Gigabit LAN/WAN Router with additional 2.5GbE network card as an independent switch/router shielded from the mainboard cluster network
  • SuperCap / Power management module for backup power supply (supercapacitors / Li-Ion battery) and sleep mode management aided with ESP32-module
  • Additional expansion cards, with resources suited for the installation (DIO, AIO, Serial Ports and dedicated sensor cards, detailed below)
Raspberry Pi Compute Module 4 Cluster

ClusBerry 9500-CM4 with available expansion cards 

ClusBerry 9500-CM4 can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.

ClusBerry 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces
Raspberry Pi Compute Module 4 Cluster for Smart Home

Software cluster management with Docker and K3s Lightweight Kubernetes

With use of Docker-based and Kubernetes solutions, installation and management of ClusBerry 9500-CM4 is easy and backed with a large community for further support and development. Kubernetes is a portable, extensible open-source software platform for managing containerized tasks and sites that enables declarative configuration and automation. The Kubernetes ecosystem is large and dynamically developing. Kubernetes services, support and tools are widely available.

Kubernetes provides:

  • Detection of new services and traffic. Kubernetes can balance the load and redirect the network traffic to ensure the stability of the entire installation.
  • Kubernetes data storage management enables you to automatically mount any type of storage system – on-premises, from cloud providers and others.
  • Automatic deployment and rollback. You can describe the expected state of your installation with Kubernetes, which will take care of bringing the actual state to the expected state in a controlled manner. For example, with Kubernetes, you can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module
  • Automatic management of available resources. ClusBerry 9500-CM4 provides a cluster of modules that Kubernetes can use to run tasks in containers. You determine the CPU power and RAM requirements for each container. Kubernetes arranges containers on machines in such a way as to make the best use of provided resources.
  • Self-healing Kubernetes reboots containers that have stopped working, replaces them with new ones, forces disabling containers that are not responding to certain status queries, and does not announce their availability until they are ready to run.
  • Managing confidential information and Kubernetes configuration with TPM Security Chip allows you to store and manage confidential information such as passwords, OAuth tokens and SSH keys. Secured data and configuration information can be provided and changed without having to rebuild the container image and without exposing sensitive data in the overall software configuration.
Raspberry Pi Compute Module 4 Cluster for Smart Home

ClusBerry 9500-CM4 availability

First prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of ClusBerry will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here or visit product website: https://clusberry.techbase.eu.

Sleep functionality for ModBerry 500 CM4 devices

TECHBASE company designed an extended version of Raspberry Pi Compute Module 4 based devices, ModBerry 500-CM4-PM series for better power management in changing conditions of industrial applications. With the use of GPIO the module can manage boot, sleep mode or safe shutdown of the device in terms of unexpected drop in the power network with help of built-in ESP32 module and Arduino environment.

In the last few years developers marketed a wide range of ARM-based development boards, lacking in enhanced power management, especially sleep and wake up modes, commonly used in PC-grade computing. These boards are not adjusted for battery power supply, so it’s natural that sleep/wake functions should be implemented. In connection with the development of solutions based on Linux-SBC, key factor is adding sleep modes to any remote installation

ESP32 based addon module for Raspberry Pi

With built-in algorithms and the possibility to program on your own, the TECHBASE’s sleep/wake addon module can wake the device using a scheduler/timer. The module itself is based on ESP32-WROVER, used in the Moduino X series. ESP32 as a lightweight and low-powered solution is a perfect aid system for Raspberry Pi. Another option is wake on external triggers, e.g. change of input state, 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.

Sleep mode with additional power backup

Additional power management option for ModBerry devices is sleep functionality enhanced with SuperCap UPS energy backup device. This solution allows programming scenarios including the execution of chosen actions, in order to save data, send a notification and restart/shutdown the controller after completion.

Advanced power management solution

Most advanced configuration includes use of ESP32 module, known from the successful, lightweight Moduino X series, for extra logic for wake up / sleep scripts. This addon will allow the RaspberryPi-based ModBerry device to be woken up by the internal ESP32 controller

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

ModBerry 500-CM4-PM availability

The preliminary ModBerry 500-CM4-PM devices are available on request and delivery time will be specified by the Sales Dept. depending on the size of the project. Contact via email or Live Chat here: https://iiot-shop.com/product/modberry-500-cm4-pm/

New features of multiple Raspberry Pi Compute Modules 4 brought to new ClusBerry series

Accompanying the release of ModBerry 500-CM4 and AI GATEWAY 9500-CM4, we present to you a cluster version of the device, called ClusBerry 9500-CM4. Main difference between standard Gateway and ClusBerry is the possibility to include multiple Raspberry Pi Compute Module 4 in one device, as well as the intended suitable amount of wired and wireless interfaces, suited for the project.

Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device. 

Raspberry Pi Compute Module 4 Cluster

Reason for use of Raspberry Pi CM4 cluster in ClusBerry 9500-CM4

Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi. However, the practical effectiveness of such solutions so far has not been of interest for several reasons. First of all, these solutions were most often associated with many mechanical limitations and the structure of the matrix itself required excessive wiring, preventing failure-free operation and the cost of the entire maintenance of the structure.

Raspberry Pi Compute Module 4 Cluster

This is where Raspberry Pi Compute Module can shine, but due to the hardware speed limitations of the buses in this module, it was not completely effective and was rather a development platform. Altho the introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry 9500-CM4 opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

Wide range of ClusBerry modules

ClusBerry 9500-CM4 supports up to 8 cluster modules and comes with a variety of interchangeable modules to choose from, including:

  • Standard 9500-CM4 cluster module with Compute Module 4 and chosen configuration:
    • I/O Controller with range of DI, DO, AI, 1-Wire, RS-232/485 and CAN interfaces
    • Communication Gateway with wired (1/2x Ethernet, Serial Ports) and wireless interfaces (LTE-cat.M1, 4G, 5G, LoRa, ZigBee, Z-Wave, Wireless M-Bus)
    • AI Gateway with 1x Coral Edge TPU via PCIe M.2, introduced in December 2020: https://iiot-shop.com/product/ai-gateway/ or up to 4x Coral Edge TPU via USB3.0
  • NAS File Server with 2x SSD SATA III and RAID support, managed with Nextcloud or ownCloud software
  • USB3.0 Hub for 5G communication, Modems, AI Cluster and peripherals
  • Gigabit LAN/WAN Router with additional 2.5GbE network card as an independent switch/router shielded from the mainboard cluster network
  • SuperCap / Power management module for backup power supply (supercapacitors / Li-Ion battery) and sleep mode management aided with ESP32-module
  • Additional expansion cards, with resources suited for the installation (DIO, AIO, Serial Ports and dedicated sensor cards, detailed below)
Raspberry Pi Compute Module 4 Cluster

ClusBerry 9500-CM4 with available expansion cards 

ClusBerry 9500-CM4 can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.

ClusBerry 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces
Raspberry Pi Compute Module 4 Cluster

Software cluster management with Docker and K3s Lightweight Kubernetes

With use of Docker-based and Kubernetes solutions, installation and management of ClusBerry 9500-CM4 is easy and backed with a large community for further support and development. Kubernetes is a portable, extensible open-source software platform for managing containerized tasks and sites that enables declarative configuration and automation. The Kubernetes ecosystem is large and dynamically developing. Kubernetes services, support and tools are widely available.

Kubernetes provides:

  • Detection of new services and traffic. Kubernetes can balance the load and redirect the network traffic to ensure the stability of the entire installation.
  • Kubernetes data storage management enables you to automatically mount any type of storage system – on-premises, from cloud providers and others.
  • Automatic deployment and rollback. You can describe the expected state of your installation with Kubernetes, which will take care of bringing the actual state to the expected state in a controlled manner. For example, with Kubernetes, you can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module
  • Automatic management of available resources. ClusBerry 9500-CM4 provides a cluster of modules that Kubernetes can use to run tasks in containers. You determine the CPU power and RAM requirements for each container. Kubernetes arranges containers on machines in such a way as to make the best use of provided resources.
  • Self-healing Kubernetes reboots containers that have stopped working, replaces them with new ones, forces disabling containers that are not responding to certain status queries, and does not announce their availability until they are ready to run.
  • Managing confidential information and Kubernetes configuration with TPM Security Chip allows you to store and manage confidential information such as passwords, OAuth tokens and SSH keys. Secured data and configuration information can be provided and changed without having to rebuild the container image and without exposing sensitive data in the overall software configuration.
Raspberry Pi Compute Module 4 Cluster

ClusBerry 9500-CM4 availability

First prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of ClusBerry will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here or visit product website: https://clusberry.techbase.eu.

A new GPIO Screw Terminal Hat has been introduces for Raspberry Pi SBCs, namely Raspberry Pi 4 Model B, Raspberry Pi 3 Model B/B+, Raspberry Pi Zero (W). Raspberry Pi 2 Model B, and Raspberry Pi Model B+. A range of GPIO is now exposed as screw terminal, for fast connection to the mainboard.

This is a very beautiful screw terminal expansion version, which is expanded for the pins of the Raspberry Pi. It is convenient for everyone to connect when doing electronic experiments. There is the pinout information of the GPIO pin on the top of the terminal and on the side. The status information of the pin is displayed. When the GPIO pin is operated and effective in the terminal, the LED matrix on the right side of the terminal will display the status of the GPIO pin, and some distinctions are made in the color selection of the LED lights.

Source: https://www.seeedstudio.com/GPIO-Screw-Terminal-Hat-for-Raspberry-Pi-p-4808.html

ModBerry 500 CM4 an ultimate solution for IoT monitoring

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for orders. TECHBASE is leading manufacturer of Industrial Raspberry Pi and Industrial Compute Module solutions. ModBerry 500 series is fully compatible with all releases of Compute Module from Rasbperry Pi foundation.

ModBerry 500 CM4, First industrial computer based on Raspberry Pi’s Compute Module 4

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance of CPU appllications than previous CM3 version
  • up to 8x more RAM (8GB LPDDR4-3200)
  • 1Gbit Ethernet interface
  • PCI 2.0 card support for NVMe SSD drive (via M.2)
  • two PCIe support for wireless modem solutions, i.e. LTE/5G modems

Raspberry Pi Compute Module 4 world premiere

Few days ago, Raspberry Foundation announced new member of its family, a Rasbperry Pi Compute Module 4. It’s quite obvious, even from the first look, that the new module is very different from its predecessors. Main difference is a new form factor, leaving DDR2 SODIMM in the past.

The same 64-bit quad-core BCM2711 application processor as in Raspberry Pi 4B, the Compute Module 4 brings higher performance: faster CPU cores, better multimedia, more interfacing capabilities, and, for the first time, a choice of RAM densities and a wireless Wi-Fi and Bluetooth connectivity options.

Compute Module 4 comes in 32 variants. Lite, as always, offers no eMMC memory, a and standard versions come with up to 8GB RAM, 32 eMMC Flash and wireless modem.

New Raspberry Pi Compute Module 4 in new form factor

New features of Compute Module 4

  • 1.5GHz quad-core 64-bit ARM Cortex-A72 CPU as in Raspberry Pi 4 version B
  • 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM
  • 8GB, 16GB or 32GB eMMC Flash storage for Standard version, Lite version without eMMC
  • Optional 2.4GHz and 5GHz IEEE 802.11b/g/n/ac wireless LAN and Bluetooth 5.0
  • Single-lane PCI Express 2.0 interface
  • Gigabit Ethernet PHY with IEEE 1588 support
  • Dual HDMI interfaces, at resolutions up to 4K
  • 28 GPIO pins, with up to 6 × UART, 6 × I2C and 5 × SPI

Source: https://www.raspberrypi.org/blog/raspberry-pi-compute-module-4/

Important update for the Dev Board / SoM

If you have a Coral Dev Board or Coral SoM, please install latest Mendel update as soon as possible to receive a critical fix to part of the SoC power configuration. To get it, just log onto your board and install the update as follows:

Dev Board / Som

This will install a patch from NXP for the Dev Board / SoM’s SoC, without which it’s possible the SoC will overstress and the lifetime of the device could be reduced. If you recently flashed your board with the latest system image, you might already have this fix (we also updated the flashable image today), but it never hurts to fetch all updates, as shown above.

Source: https://developers.googleblog.com/2021/06/developer-updates-from-coral.html

WebCoral – Coral USB accelerator for Chrome browser

If you don’t like typing the command line in the terminal, Google has added Coral USB Accelerator support in Chrome over WebUSB. Only works on Linux and macOS for now. You’ll need to set up a web server and enter some commands to set up device rules on Linux, but when you’re done, go to http: // localhost: 8000 in Chrome and flash your USB accelerator software. Try some models, such as SSD MobileNet v2, with your own images.

 Edge TPU

New features of Edge TPU brought to ModBerry series

In October 2020, with the release of the latest Compute Module 4 from Rasbperry Pi Foundation, TECHBASE announced an upgraded device from ModBerry 500 series, called ModBerry 500 CM4. Thanks to the high-performance PCI-Express bus introduced in Compute Module 4 and Raspberry Pi community, the device itself presents support for a wide range of new applications, such as use of Google’s Artificial Intelligence modules at ease.

Therefore, TECHBASE designed a new device, called ModBerry AI GATEWAY 9500-CM4, utilizing the vertical format of ModBerry 9500, latest Compute Module 4 and Google’s Coral TPU. Installation-ready AI GATEWAY allows direct application in industrial fields.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with Coral TPU enhancement 

Neuron network capabilities enhance CM4-based devices, not only collecting and sending data, but also allows local data change predictions and allows direct management on-site. This feature gives the possibility for various applications, such as data analysing and establishing trends predictions, smart alarms and smart monitoring, local notification control, etc.

Used Edge TPU coprocessor via PCI-Express bus is capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). Google Coral easily integrates with Raspberry Pi Compute Module in Linux and optionally in Windows with full support of TensorFlow Lite framework and AutoML Vision Edge solution.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU
TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with available expansion cards 

ModBerry AI GATEWAY 9500-CM4 can be equipped with serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer, OLED screen and many more features like TPM Security Chip, eSIM and SuperCap backup power support. 

ModBerry AI GATEWAY 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem, interchangeable with Coral TPU)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ModBerry AI GATEWAY 9500-CM4 availabilityFirst prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of AI GATEWAY will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here.

New industrial board from NVIDIA

NVIDIA has released Jetson AGX Xavier Industrial Module, that adds two Cortex-R5 functional safety cores (FuSa), with 32GB ECC RAM, 64GB eMMC, and shock and vibration resistance to the original design.

Robotics and automation are increasingly used in manufacturing, agriculture, construction, energy, government, and other industries, but many companies struggle to incorporate the benefits of AI and deep learning into their most demanding applications. doing.

Jetson AGX Xavier

With the new NVIDIA Jetson AGX Xavier Industrial module, NVIDIA can deploy AI to edge devices in harsh environments where security and reliability are important priorities.

AI performance is listed at 30 TOPS. The original AGX Xavier was announced with the same rating but is now listed at 32 TOPS. The module supports the same CUDA-X accelerated computing stack, JetPack SDK, and Ubuntu-based BSP as the other Jetson modules.

Source: http://linuxgizmos.com/jetson-agx-xavier-industrial-adds-ruggedization-and-fusa-cores/

New features of AI brought to ModBerry series

In October 2020, with the release of the latest Compute Module 4 from Rasbperry Pi Foundation, TECHBASE announced an upgraded device from ModBerry 500 series, called ModBerry 500 CM4. Thanks to the high-performance PCI-Express bus introduced in Compute Module 4 and Raspberry Pi community, the device itself presents support for a wide range of new applications, such as use of Google’s Artificial Intelligence modules at ease.

Therefore, TECHBASE designed a new device, called ModBerry AI GATEWAY 9500-CM4, utilizing the vertical format of ModBerry 9500, latest Compute Module 4 and Google’s Coral TPU. Installation-ready AI GATEWAY allows direct application in industrial fields.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with Coral TPU enhancement 

Neuron network capabilities enhance CM4-based devices, not only collecting and sending data, but also allows local data change predictions and allows direct management on-site. This feature gives the possibility for various applications, such as data analysing and establishing trends predictions, smart alarms and smart monitoring, local notification control, etc.

Used Edge TPU coprocessor via PCI-Express bus is capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). Google Coral easily integrates with Raspberry Pi Compute Module in Linux and optionally in Windows with full support of TensorFlow Lite framework and AutoML Vision Edge solution.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU
TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with available expansion cards 

ModBerry AI GATEWAY 9500-CM4 can be equipped with serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer, OLED screen and many more features like TPM Security Chip, eSIM and SuperCap backup power support. 

ModBerry AI GATEWAY 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem, interchangeable with Coral TPU)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ModBerry AI GATEWAY 9500-CM4 availabilityFirst prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of AI GATEWAY will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here.

Raspberry Pi 4 is well known for its size and value, but will soon start to be seen for it’s significant performance. A few months ago, the Raspberry Pi Foundation announced the development of Vulkan support on Raspberry Pi 4. Today, the team published demonstration photos showing updates and progress in the current state of the project.

When we announced the effort back in January we were at the point of rendering a coloured triangle, which required only minimal coverage of the Vulkan 1.0 API in the driver. Today, we are passing over 70,000 tests from the Khronos Conformance Test Suite for Vulkan 1.0 and we have an implementation for a significant subset of the Vulkan 1.0 API.

Source: https://www.raspberrypi.org/blog/vulkan-update-now-with-added-source-code/

Rasbperry Pi 4 upgrade of ModBerry M500

In 2019, with the premiere of Raspberry Pi 4, TECHBASE upgraded their ModBerry M500 device with the latest revision of this popular SBC, further enhancing the performance of their device. New 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 now be configured from 2GB / 4GB LPDDR4 SDRAM options.

Revised ModBerry M500 features Gigabit Ethernet, USB3.0, two microHDMI ports 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 & ESP32 use-hack of OpenMQTTGateway

Many developement boards can be used in home and industrial applications to control and manage data. Check out latest video from open-tech infuencer, Andreas Spiess, in which he uses Raspberry Pi and ESP32 boards to build and visualize weight loss system using Xiaomi scale and Node-RED, influxDB and Grafana. Open MQTT Gateway might come in handy too.

Industrial use of Raspberry Pi & ESP32-based solutions

One of industrial IoT devices, supporting Espressif’s ESP32 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 and also Raspberry Pi based solutions check Industrial IoT Shop with all the configuration options for eModGATE.

eModGATE with ESP32

Aries Embedded announced one of the first computing modules with the SoF PolarFire function. It is equipped with a Linux RISC-V SoC chip with a Microchip Microsemi FPGA processor. The M100PFS has the same dimensions of 74 x 42 mm as the similar M100PF module from Aries and is equipped with PolarFire FPGAs without RISC-V core for Linux.

The two major M100PFS SKUs are:

  • M100PFS-025ADA0 — MPFS025T FPGA with 23K LE, 68 math blocks, 4x SERDES; 1GB LPDDR4 RAM for HMS (RISC-V/Linux); 4GB eMMC
  • M100PFS-250AECC — MPFS250T FPGA with 254K LE, 784 blocks, 16x SERDES; 4GB LPDDR4 each for HMS and FPGA; 8GB eMMC

Source: http://linuxgizmos.com/linux-powered-module-charges-up-the-risc-v-polarfire-soc/

Aries’ M100PFS a competition for Raspberry Pi 4 in IoT
M100PFS

PolarFire SoC from Microchip combines the previously introduced PolarFire FPGA card with 4x RISC-V U54-MC SiFive core. Microchip claims that PolarFire SoCs are superior to hybrid SoCs with an arm / FPGA, such as Xilinx Zynq, with more configurable and open RISC-V designs, lower power consumption and much better real-time deterministic functions. I am In December, the company called it „the first FPGA SoC chip with deterministic and consistent RISC-V processor clusters and the deterministic L2 memory subsystem enabling the use of Linux and real-time applications.”

Industrial use of market Raspberry Pi 4 SBCs

A year ago, TECHBASE released an updated version of the ModBerry M500 industrial IoT computer, replacing the aging Raspberry Pi 3 with a 3B+, giving it better performance. With the recent launch of the Raspberry Pi 4, TECHBASE has yet again, announced another upgrade to the M500, which now packs the latest single-board computer.

ModBerry M500 with Raspberry Pi’s 4

ModBerry M500 also utilizes many more SBC platforms, such as Orange Pi, NanoPi and Intel-based UpBoard. Find more information here: https://iiot-shop.com/product/modberry-m-series/