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Revolutionizing Industrial Operations: How AI-driven IoT is Transforming Manufacturing

In today’s fast-paced and technology-driven world, the manufacturing industry is undergoing a profound transformation. The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has revolutionized industrial operations, leading to increased efficiency, productivity, and profitability. In this article, we will explore how AI-driven IoT is transforming manufacturing and how the AI Gateway from TECHBASE is playing a pivotal role in this revolution.

The Power of AI-driven IoT in Manufacturing

The integration of AI and IoT technologies has unlocked unprecedented opportunities for manufacturers. AI-driven IoT systems enable the collection, analysis, and utilization of vast amounts of data generated by interconnected devices on the factory floor. This data-driven approach empowers manufacturers with actionable insights and predictive capabilities, ultimately optimizing processes and enhancing decision-making.

Enhancing Efficiency and Productivity

AI-driven IoT solutions bring a new level of automation and optimization to manufacturing processes. By leveraging AI algorithms, IoT devices can autonomously monitor and control various aspects of production, reducing human error and increasing efficiency. Smart sensors, for example, can detect anomalies in equipment performance, enabling predictive maintenance to prevent breakdowns and minimize downtime.

Furthermore, AI-driven IoT systems facilitate real-time data analysis, enabling manufacturers to identify bottlenecks, streamline workflows, and optimize resource allocation. This data-driven approach empowers manufacturers to make informed decisions that result in increased productivity and reduced costs.

Improving Quality Control and Product Traceability

Maintaining consistent product quality is a top priority for manufacturers. AI-driven IoT solutions play a vital role in achieving this objective. By continuously monitoring the production process, IoT sensors can detect deviations from desired quality standards. Leveraging AI algorithms, manufacturers can proactively identify potential quality issues, enabling them to take corrective measures before defects occur.

Moreover, AI-driven IoT enables robust product traceability throughout the manufacturing lifecycle. With real-time data capture and analysis, manufacturers can track and trace raw materials, components, and finished products, ensuring compliance with regulatory standards and enhancing transparency.

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

Optimizing Supply Chain Management

The integration of AI-driven IoT technologies in manufacturing extends beyond the factory walls. These technologies are transforming supply chain management, optimizing logistics, and ensuring efficient inventory management. By leveraging real-time data from IoT devices, manufacturers gain visibility into the entire supply chain, enabling accurate demand forecasting, reducing stockouts, and optimizing inventory levels.

The marriage of AI and IoT has brought unprecedented advancements to the manufacturing industry. From enhancing efficiency and productivity to improving quality control and optimizing supply chain management, AI-driven IoT is transforming the way manufacturers operate. With the AI Gateway from TECHBASE, manufacturers can harness the full potential of AI-driven IoT, gaining a competitive edge in an increasingly digital world. Embracing these transformative technologies is crucial for manufacturers to thrive in the era of Industry 4.0.

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 

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. 

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 availability

First 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.

Order AI GATEWAY 9500-CM4 NOW!

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Smart Cities Powered by Industrial IoT and AI: Building Sustainable Urban Environments

In recent years, the concept of smart cities has gained significant attention as urban areas seek innovative solutions to improve sustainability, efficiency, and quality of life. The combination of Industrial Internet of Things (IoT) and Artificial Intelligence (AI) technologies has paved the way for transforming traditional cities into smart, connected environments. In this article, we will explore how Industrial IoT and AI are powering smart cities and how the AI Gateway from TECHBASE is playing a pivotal role in building sustainable urban ecosystems.

The Role of Industrial IoT and AI in Smart Cities

Industrial IoT and AI technologies are the driving forces behind the transformation of cities into smart, connected ecosystems. By leveraging IoT sensors and devices, cities can collect vast amounts of real-time data from various sources such as infrastructure, transportation systems, and public services. AI algorithms then analyze this data, generating valuable insights and enabling intelligent decision-making for sustainable urban development.

Source: https://www.mdpi.com/2076-3417/12/3/1607

Enhancing Sustainability and Resource Management

One of the primary goals of smart cities is to optimize resource management and reduce environmental impact. Industrial IoT and AI technologies play a crucial role in achieving these objectives. IoT sensors deployed throughout the city can monitor energy consumption, waste management, water usage, and air quality in real-time. This data, when analyzed by AI algorithms, enables efficient resource allocation, identifies areas for improvement, and supports the implementation of sustainable initiatives.

For instance, AI algorithms can optimize energy consumption by analyzing patterns and adjusting lighting and HVAC systems accordingly. Additionally, IoT-enabled waste management systems can optimize garbage collection routes based on real-time data, reducing fuel consumption and minimizing the environmental impact.

Improving Public Safety and Infrastructure Management

Smart cities prioritize the safety and well-being of their residents. Industrial IoT and AI technologies play a vital role in enhancing public safety and optimizing infrastructure management. IoT sensors embedded in urban infrastructure, such as roads, bridges, and buildings, can monitor structural health and detect potential hazards or maintenance requirements.

AI algorithms can analyze the data from these sensors, providing insights into the condition of infrastructure and predicting maintenance needs. This proactive approach enables authorities to address issues before they become critical, improving public safety and reducing infrastructure downtime.

Optimizing Transportation and Mobility

Efficient transportation and mobility are essential components of smart cities. Industrial IoT and AI technologies revolutionize the way people move within urban environments. Connected transportation systems, such as smart traffic lights and intelligent parking solutions, enable efficient traffic management, reduce congestion, and decrease travel times.

AI algorithms analyze real-time data from various sources, including public transportation systems, traffic flow, and historical patterns, to optimize routing and scheduling. This leads to improved public transportation services, reduced commute times, and enhanced overall mobility.

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

The AI Gateway from TECHBASE

TECHBASE, a leading provider of Industrial IoT solutions, offers an advanced AI Gateway that is instrumental in the development of smart cities. The AI Gateway acts as a central hub, seamlessly integrating data from diverse IoT devices and systems across the city. TECHBASE’s AI Gateway is designed to handle large volumes of data in real-time and supports multiple communication protocols, ensuring compatibility with a wide range of IoT devices. Its powerful AI capabilities enable efficient data analysis, predictive modeling, and decision-making for sustainable urban development.

By leveraging the AI Gateway from TECHBASE, smart city planners and authorities can harness the full potential of Industrial IoT and AI technologies to build resilient, sustainable, and interconnected urban environments. Industrial IoT and AI are revolutionizing the concept of smart cities, transforming traditional urban areas into sustainable, connected ecosystems. By leveraging IoT devices and AI algorithms, cities can enhance sustainability, optimize resource management, improve public safety, and optimize transportation and mobility. The AI Gateway from TECHBASE plays a pivotal role in building smart cities

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 

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. 

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 availability

First 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.

Order AI GATEWAY 9500-CM4 NOW!

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Raspberry Pi Compute Module 4 vs Radxa CM3: A Technical Comparison for Industrial Automation

Raspberry Pi Compute Module 4 vs Radxa CM3: A Technical Comparison for Industrial Automation

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.

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How TECHBASE handles low supply of Raspberry Pi CM4

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.

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Raspberry Pi Compute Module 5 predictions & probable features

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.

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NarrowBand-IoT wireless communication for ModBerry & industry

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.

Order now: https://www.industrial-devices.com/industrial-computers/1-46-mod-500.html

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Modbus protocol handled by ModBerry IoT device

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.

ModBerry hardware modularity

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.

Order now: https://www.industrial-devices.com/industrial-computers/1-46-mod-500.html

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Introduction to ClusBerry – a Raspberry Pi CM4 Cluster

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/

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Remote access to Raspberry Pi Compute Module 4 platform for Software Developers

Low Raspberry Pi availability on the IoT market

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:

ModBerry 500 CM4ClusBerry-2M

About cluster Raspberry Pi solution

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/ 

CONTACT US

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Developer from Google updates Coral Dev Board AI module

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.

Pre-order ModBerry AI GATEWAY 9500-CM4 NOW!
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