Industrial automation is a rapidly growing field that relies on powerful and efficient computing platforms to control and monitor complex processes. Two popular options for industrial automation applications are the Raspberry Pi Compute Module 4 and the Radxa CM3. In this article, we will compare the technical features of these two boards and discuss their suitability for industrial automation.
CM4 vs CM3?
The Raspberry Pi Compute Module 4 is equipped with a quad-core Cortex-A72 CPU clocked at up to 1.5GHz. The Cortex-A72 is a high-performance core that is ideal for applications that require a lot of computational power, such as machine learning and computer vision.
On the other hand, the Radxa CM3 is powered by the Rockchip RK3566 processor, which features four Cortex-A55 cores clocked at up to 2.0GHz. While the Cortex-A55 is not as powerful as the Cortex-A72, it is designed for power efficiency, making it a better option for battery-powered devices or IoT applications.
What about the memory?
The Raspberry Pi Compute Module 4 is available in several configurations, ranging from 1GB to 8GB of LPDDR4 RAM. It also features an optional 8GB, 16GB, or 32GB eMMC flash storage.
The Radxa CM3, on the other hand, comes with 2GB or 4GB LPDDR4 RAM, and 16GB or 32GB eMMC flash storage. While the Raspberry Pi Compute Module 4 offers more RAM options, the Radxa CM3 comes with more eMMC storage options.
Which module comes best in terms of features?
The Raspberry Pi Compute Module 4 offers a wide range of connectivity options, including dual-band 2.4GHz and 5GHz Wi-Fi, Bluetooth 5.0, Gigabit Ethernet, and PCI Express 2.0. The Radxa CM3 features dual-band 2.4GHz and 5GHz Wi-Fi, Bluetooth 5.0, and Gigabit Ethernet.
Both the Raspberry Pi Compute Module 4 and the Radxa CM3 come with features that are useful for industrial automation applications. For example, they both offer long-term availability, support for industrial temperature ranges, and high reliability. However, the Raspberry Pi Compute Module 4 offers some additional features that may be useful for industrial applications, such as support for dual display output and a wider range of peripherals.
In conclusion, the Raspberry Pi Compute Module 4 and the Radxa CM3 are both powerful and efficient computing platforms that are well-suited for industrial automation applications. The Raspberry Pi Compute Module 4 is better suited for applications that require high computational power, while the Radxa CM3 is better suited for applications that require power efficiency. Ultimately, the choice between these two boards will depend on the specific needs of the industrial automation application in question.
ModBerry R1 industrial supply
The ModBerry R1 is available to order from several online retailers, and it is a cost-effective alternative to the Raspberry Pi Compute Module 4. With its compact size and powerful hardware, the ModBerry R1 is a great solution for users who need a single-board computer for their projects. Whether you are building an industrial control system, a home automation system, or a media center, the ModBerry R1 is an excellent choice.
Raspberry Pi Compute Module 4 scarcity has created an opportunity for alternatives to emerge, and the ModBerry R1 with Radxa CM3 is one such alternative. With its powerful hardware and compatibility with the Raspberry Pi, the ModBerry R1 is a cost-effective solution for users who need a single-board computer for their projects. If you are looking for a powerful and versatile single-board computer, the ModBerry R1 is definitely worth considering.
https://iot-industrial-devices.com/wp-content/uploads/2023/03/rpi-cm4-radxa-cm3.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2023-03-02 16:06:312023-03-02 16:06:35Raspberry Pi Compute Module 4 vs Radxa CM3: A Technical Comparison for Industrial Automation
The Raspberry Pi Compute Module 4 (CM4) has been in high demand since its release in 2020, due to its powerful hardware and versatility as a single-board computer. The CM4 has been used in a wide range of applications, from industrial control systems to media centers and home automation systems. However, the high demand for the CM4 has resulted in a scarcity of the device, making it difficult for many users to get their hands on one.
Low supply, high demand
To address the issue of low supply, several companies have started offering alternatives to the Raspberry Pi Compute Module 4. One such alternative is the ModBerry500 R1, which is based on the Radxa CM3. The ModBerry 500 R1 is a compact and versatile single-board computer that provides many of the same capabilities as the Raspberry Pi CM4. It features a powerful quad-core Arm Cortex-A53 processor and variety of RAM/eMMC options, making it suitable for a wide range of applications.
The Radxa CM3, which is the heart of the ModBerry 500 R1, is a highly integrated computer-on-module that combines a powerful processor, RAM, and storage in a compact package. The CM3 is fully compatible with the Raspberry Pi, which means that users can use the same software and accessories as they would with a Raspberry Pi. This makes it an ideal solution for users who want the power and versatility of the Raspberry Pi, but cannot get their hands on a CM4 due to its scarcity.
ModBerry R1 industrial supply
The ModBerry R1 is available to order from several online retailers, and it is a cost-effective alternative to the Raspberry Pi Compute Module 4. With its compact size and powerful hardware, the ModBerry R1 is a great solution for users who need a single-board computer for their projects. Whether you are building an industrial control system, a home automation system, or a media center, the ModBerry R1 is an excellent choice.
Raspberry Pi Compute Module 4 scarcity has created an opportunity for alternatives to emerge, and the ModBerry R1 with Radxa CM3 is one such alternative. With its powerful hardware and compatibility with the Raspberry Pi, the ModBerry R1 is a cost-effective solution for users who need a single-board computer for their projects. If you are looking for a powerful and versatile single-board computer, the ModBerry R1 is definitely worth considering.
The Raspberry Pi Compute Module is a small form-factor computer that has been designed for use as an embedded device. The latest version of the Compute Module is the Raspberry Pi Compute Module 4, which was released in June 2020.
It is likely that the next iteration of the Raspberry Pi Compute Module will feature improved performance and updated components, while retaining the small form factor and low power consumption that have made the Compute Module popular. This might include the latest generation of processors and memory, as well as improved connectivity options and expanded storage capabilities.
Additionally, the Raspberry Pi Foundation has a history of releasing new Compute Module versions every two to three years, so it is possible that the next Compute Module could be released sometime in 2023 or 2024. Overall, the Raspberry Pi Compute Module continues to evolve and improve, offering a compact and versatile platform for a wide range of embedded computing applications. Stay tuned for future updates from the Raspberry Pi Foundation.
Current version of Raspberry Pi Compute Module 4
Possible feature and specs changes
It is difficult to predict the exact specifications of a future Raspberry Pi Compute Module, as these are subject to change based on various factors, including advancements in technology and market demands. However, based on the current trends and recent releases, the next Compute Module might feature:
Processor: The next Compute Module might feature a more powerful processor, such as a newer generation of ARM-based chips or even a custom chip designed specifically for the Raspberry Pi. The processor might have improved performance and power efficiency, providing a faster and more efficient computing experience.
Memory: The next Compute Module might come with increased memory options, such as LPDDR5 RAM or larger capacity options, providing more room for larger applications and multiple tasks.
Connectivity: The next Compute Module might have improved connectivity options, such as faster Ethernet, Wi-Fi 6 support, or 5G connectivity. This would make the device better suited for applications that require a fast and reliable internet connection.
Storage: The next Compute Module might feature expanded storage options, such as larger eMMC storage or support for NVMe SSDs, providing more room for data storage and enabling faster read and write speeds.
Other features: The next Compute Module might also include other features and improvements, such as improved thermal management, support for more displays or cameras, or a more compact form factor.
These are just some of the potential improvements that the next Raspberry Pi Compute Module might feature. It is important to note that these are only speculations and actual specifications may differ. But before CM5 will see the light of day, meet ModBerry 500 CM4 & and it’s cousing ModBerry 500 R1, powered by Radxa CM3.
Narrowband IoT (NB-IoT) is a revolutionary technology that is changing the way we think about the Internet of Things (IoT). This Low Power Wide Area Network (LPWAN) technology is designed for IoT devices that require low data rates and long battery life. It operates in a licensed spectrum and is optimized for low power consumption, making it ideal for devices that need to run for extended periods of time on small batteries or energy harvesting sources.
One of the most exciting applications of NB-IoT is the use of ModBerry devices. ModBerry is a range of industrial computer devices based on Raspberry Pi or similar computer boards. These devices are equipped with various sensors and communication interfaces that allow them to connect to a wide range of industrial and building automation systems. The combination of NB-IoT and ModBerry devices offers a powerful solution for a wide range of IoT applications.
ModBerry and NarrowBand-IoT applications
Building and facility management is one of the key applications of NB-IoT and ModBerry. These devices can be used to monitor and control various systems in a building, such as heating, ventilation, and air conditioning (HVAC), lighting, and security. The low power consumption of NB-IoT allows the devices to run for extended periods of time on small batteries, making them ideal for use in remote or hard-to-reach locations. This means that building managers can have real-time visibility into the systems that are critical to the operation of their buildings, and can make adjustments as needed to ensure optimal performance.
Industrial automation is another application of NB-IoT and ModBerry. These devices can be used to monitor and control various industrial systems, such as machinery, production lines, and conveyor belts. The low power consumption of NB-IoT allows the devices to run for extended periods of time on small batteries, making them ideal for use in remote or hard-to-reach locations. This means that industrial managers can have real-time visibility into the systems that are critical to the operation of their factories, and can make adjustments as needed to ensure optimal performance.
ModBerry as a Smart City controller
Smart cities is another area where NB-IoT and ModBerry can make a big impact. These devices can be used to monitor and control various systems in a city, such as traffic lights, parking, and environmental sensors. The low power consumption of NB-IoT allows the devices to run for extended periods of time on small batteries, making them ideal for use in remote or hard-to-reach locations.
ModBerry as a low-cost NB-IoT controller
The combination of NB-IoT and ModBerry devices provides a powerful solution for a wide range of IoT applications. With NB-IoT’s low power consumption and long battery life, combined with ModBerry’s flexibility and functionality, they’re ideal for a wide range of IoT applications such as building and facility management, industrial automation, and smart cities. Seeing how these technologies will evolve and improve in the future, and how they will impact our lives, is exciting.
https://iot-industrial-devices.com/wp-content/uploads/2023/01/modberry-nbiot.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2023-01-24 11:09:362023-01-24 11:14:14NarrowBand-IoT wireless communication for ModBerry & industry
Modbus is a communication protocol that is widely used in industrial automation systems. It was developed by Modicon (now Schneider Electric) in 1979 and is used to connect different devices and control systems in a network. Modbus is based on a master-slave architecture, where one device acts as the master and the other devices act as slaves. The master device sends requests to the slaves and the slaves respond with the requested information.
ModBerry is a device that uses the Modbus protocol to communicate with other devices in a network. It is a small computer that is based on the Raspberry Pi platform and it is designed to be used in industrial automation systems. The ModBerry device can be used as a master or a slave in a Modbus network and it can be used to connect different devices such as sensors, actuators, and controllers.
ModBerry advantages in the IoT market
One of the main advantages of using ModBerry is that it is a low-cost solution for industrial automation systems. It is also easy to use and it can be programmed using different languages such as Python, C++, and Java. Additionally, the ModBerry device is small and compact, which makes it easy to install in different environments. It also has a wide range of input and output options, such as digital inputs, digital outputs, analog inputs, and analog outputs, which makes it suitable for a variety of applications.
ModBerry can be used in various industrial applications such as building automation, energy management, and process control. For example, it can be used to monitor and control the temperature, humidity, and lighting in a building. In energy management, it can be used to monitor and control the consumption of electricity, gas, and water. In process control, it can be used to monitor and control the production process in a factory.
Another advantage of ModBerry is its flexibility and scalability. It can be easily integrated with other systems and devices, such as SCADA systems, PLCs, and IoT devices. This allows for a seamless integration of different systems and devices in a single network, which improves efficiency and reduces the complexity of the system.
ModBerry as a low-cost Modbus controller
In conclusion, Modbus is a widely used communication protocol in industrial automation systems and ModBerry is a low-cost, easy-to-use device that utilizes the Modbus protocol. It offers a wide range of input and output options and can be used in various industrial applications. Its flexibility and scalability make it a great solution for integrating different systems and devices in a single network.
ClusBerry is a cluster of Raspberry Pi computers developed by TECHBASE. The cluster is made up of multiple Raspberry Pi Compute Module 4’s that are connected together, allowing them to work together to perform tasks that would otherwise be too computationally intensive for a single board. This makes ClusBerry a powerful, low-cost solution for parallel computing and high-performance computing applications.
One of the key features of ClusBerry is its flexibility. The cluster can be configured with a variety of different types of Raspberry Pi-like modules, including the Raspberry Pi Compute Module 4 and latest Radxa CM3. This allows users to choose the configuration that best meets their needs in terms of performance, cost, and power consumption.
ClusBerry device fitted with Software
Another important feature of ClusBerry is its software stack. The cluster is pre-installed with a range of software tools and libraries that are commonly used in parallel computing and high-performance computing applications. This includes tools for job scheduling, resource management, and data transfer, as well as libraries for machine learning, data processing, and scientific simulations.
ClusBerry can be used for a variety of applications, including machine learning, data processing, and scientific simulations. For example, it can be used to train large machine learning models, process large datasets, or run complex simulations. Some of the specific use cases that ClusBerry can be applied to include:
Image and video processing: ClusBerry can be used to process large amounts of image and video data, such as in the field of computer vision.
Machine learning: ClusBerry can be used to train large machine learning models, such as deep learning models, using parallel computing techniques.
Scientific simulations: ClusBerry can be used to run complex simulations in fields such as physics, chemistry, and biology.
Data processing: ClusBerry can be used to process large amounts of data, such as in the field of big data.
Overall, ClusBerry is a powerful and flexible solution for parallel computing and high-performance computing applications. Its low cost, ease of use, and wide range of software tools and libraries make it well-suited for a wide range of use cases.
Small CM4 cluster in ClusBerry-2M
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-2M opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.
ClusBerry-2M 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-2M series also offers two M.2 NVMe SSD slots and up to four standard miniPCIe 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
Software cluster management with Docker and K3s Lightweight Kubernetes
With use of Docker-based and Kubernetes solutions, installation and management of ClusBerry-2M 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-2M 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.
ClusBerry-2M availability
Basic version of ClusBerry-2M is available in 2-4 weeks. Delivery time for various configurations of ClusBerry-2M including ExCard modules and modems can be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information please contact via our website and sign the offer here: https://clusberry.techbase.eu/
https://iot-industrial-devices.com/wp-content/uploads/2023/01/clusberry-introduction.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2023-01-16 13:40:362023-01-16 13:40:40Introduction to ClusBerry - a Raspberry Pi CM4 Cluster
Many companies have been impacted by the global chip shortage and supply chain issues, including electronics and automotive industries. This problem also touched the main producer of small board computers, Raspberry Pi. Company’s CEO, Eben Upton said that they had difficulty meeting demand for many of its products, but that it was taking steps to ensure devices were delivered despite supply constraints.
„We’ve consistently been able to build around half a million of our single-board computers and Compute Module products each month. Where units do appear, bots often attempt to scalp stock which is then resold at higher prices elsewhere” said Upton.
Sadly, for the average consumer who wants to build home projects or test software with Pi products, Raspberry Pi is prioritizing commercial and industrial customers.
TECHBASE’s ModBerry with Compute Module 4 supply
As one of leading manufacturers of industrial solutions based on Raspberry Pi Compute Modules, TECHBASE is steadily fulfilling all the orders according to the schedule agreed with customers. For best customer service TECHBASE chose to order CM4 modules in advance to provide best lead time for all deliveries. Standard configurations of ModBerry 500 devices with Compute Module 4 are now shipped within several weeks.
Alternatively TECHBASE designed a solution to provide a first experience for customers and software developers, delivering a Raspberry Pi based platform available pre-purchase. The demand for hardware is high, therefore a remote development platform can speed up the process and make it easier for users in need of testing their products.
Raspberry Pi CM4 remote access platform
As part of the service, you will be able to try out the Raspberry Pi Ecosystem based on the CM4 module. Devices equipped with this module are located at our company headquarters and will be available for testing for 1 month. After contacting our representative, we will be able to adjust specific hardware resources and connect specific sensors and meters so that you have an insight into the specific functioning of the device.
This form of device sharing will allow you to test your software on the Raspberry Pi platform without the need to physically purchase the device. After the trial period expires, you will be able to either extend the access to the remote platform after consulting our sales department or purchase devices with parameters ideally suited to you and your software’s needs.
This Remote Access Program is mainly aimed at Software Developers, application developers for monitoring and processing data from external sources, IoT startups and all industries related to home and industrial automation. Thanks to the program, you can gain access to the latest technologies, try your software without the need to purchase over-expensive solutions and establish long-term cooperation with a hardware manufacturer on preferential terms. By getting to know our hardware, you will be able to offer your customers a fully complete service.
Hardware available via Remote Access Platform
Two devices can be configured for users applying to TECHBASE’s remote access program. Both of these devices are powered with Raspberry Pi Compute Module 4 and offer a wide array of applications:
For smaller projects and IoT prototyping, the company designed a smaller and ready-to-deploy cluster device including two independent ModBerry I/O mainboards and two Compute Module 4’s. The ClusBerry-2M offers similar resources as double ModBerry 500-CM4 with software cluster management tools – Docker and K3s Lightweight Kubernetes solutions.
Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with 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 each other to provide such features and allow quick healing of the dual cluster.
Ease of transition from remote to target hardware solutions
Remote platform users after the R&D process is complete will be able to smoothly transition to target solutions, in this case the Raspberry Pi based hardware. TECHBASE offers support for the entire process, from remote access to the solution, user manual for devices and servers, and the subsequent selection of appropriate hardware devices and their perfect adaptation to the end used needs.
Join CM4 Remote Access program
The program is available to Software Developers and customers interested in remote testing of IoT hardware solutions after brief consultation with our Sales Department. To participate in the program, contact us via email: sales@a2s.pl or Live Chat at: https://iiot-shop.com/
https://iot-industrial-devices.com/wp-content/uploads/2022/08/remote-access.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2022-08-10 12:02:262022-08-10 12:03:13Remote access to Raspberry Pi Compute Module 4 platform for Software Developers
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:
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.
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.
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.
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
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.
https://iot-industrial-devices.com/wp-content/uploads/2021/07/google-coral-update.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2022-08-01 09:21:182022-08-10 11:53:13Developer from Google updates Coral Dev Board AI module
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.
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.
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.
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 andcomes 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)
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)
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
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-CM4provides 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.
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.
https://iot-industrial-devices.com/wp-content/uploads/2021/06/smart-home-iot.png3851210adminhttps://iot-industrial-devices.com/wp-content/uploads/2019/11/iot-industrial-devices-1.pngadmin2022-07-27 09:21:192022-07-28 09:26:07Smart Home global trend makes IoT more relevant than ever before
Recently TECHBASE introduced ClusBerry, an industrial Raspberry Pi based cluster device, utilizing up to 8x Raspberry Pi Compute Module 4 and custom cluster board with a wide range of configuration possibilities.
For smaller projects and IoT prototyping, the company designed a smaller and ready-to-deploy cluster device including two independent ModBerry I/O mainboards and two Compute Module 4’s. The ClusBerry-2M offers similar resources as double ModBerry 500-CM4 with software cluster management tools – Docker and K3s Lightweight Kubernetes solutions.
New features of multiple Compute Modules 4 brought to new ClusBerry series
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.
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.
Reason for use of CM4 cluster in ClusBerry-2M
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-2M opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.
Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with 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 each other to provide such features and allow quick healing of the dual cluster.
ClusBerry-2M 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-2M series also offers two M.2 NVMe SSD slots and up to four standard miniPCIe 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
ClusBerry-2M availability
Basic version of ClusBerry-2M is available in 2-4 weeks. Delivery time for various configurations of ClusBerry-2M including ExCard modules and modems can be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information please contact via our website and sign the offer here: https://clusberry.techbase.eu/
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