The integration of AI and machine learning into industrial applications has been revolutionized by powerful computing platforms like the ModBerry 500 CM5 and the Hailo-AI module. These technologies are transforming industries by enabling smarter, more efficient operations.
ModBerry 500 CM5: The Industrial Powerhouse
The ModBerry 500 CM5 is an industrial computer powered by the Raspberry Pi Compute Module 5. It features a quad-core Cortex-A76 2.4GHz processor, 2/4/8GB LPDDR4x-4267 SDRAM, and up to 64GB eMMC on-board storage. This robust hardware is designed to withstand harsh industrial environments, making it ideal for applications in factories, power plants, and other demanding settings2.
Hailo-AI Module: Accelerating Edge AI
The Hailo-AI module, specifically the Hailo-8 M.2 AI Acceleration Module, is a game-changer for edge AI applications. It boasts a 26 tera-operations per second (TOPS) AI processor with high power efficiency. This module can be easily integrated into existing edge devices, providing real-time, low-latency AI inferencing3. It supports popular AI frameworks like TensorFlow, TensorFlow Lite, ONNX, Keras, and Pytorch.
Synergy of ModBerry 500 CM5 and Hailo-AI Module
Combining the ModBerry 500 CM5 with the Hailo-AI module creates a powerful platform for AI and machine learning projects. This combination allows for:
Enhanced Data Processing: The ModBerry 500 CM5’s robust computing capabilities, combined with the Hailo-AI module’s AI acceleration, enable efficient data processing and analysis.
Real-Time AI Inferencing: The Hailo-AI module’s low-latency inferencing capabilities ensure real-time decision-making, crucial for applications like process control and safety monitoring.
Scalability: The modular nature of these components allows for easy scalability, enabling simultaneous processing of multiple data streams and models.
Versatility: The platform supports a wide range of industrial applications, from smart alarms and monitoring to robotics and home automation.
Applications in Industry
The integration of ModBerry 500 CM5 and Hailo-AI module is transforming various industries:
Manufacturing: Real-time monitoring and predictive maintenance of machinery, reducing downtime and increasing efficiency.
Energy: Smart grid management and optimization, ensuring reliable and efficient energy distribution.
Healthcare: Remote patient monitoring and diagnostics, improving patient care and outcomes.
Transportation: Autonomous vehicle navigation and safety systems, enhancing transportation safety and efficiency.
Benefits of the upgraded ModBerry 500 CM5
The combination of ModBerry 500 CM5 and Hailo-AI module represents a significant advancement in industrial AI and machine learning projects. By leveraging these powerful computing capabilities, industries can achieve smarter, more efficient operations, driving innovation and growth.
Would you like to know more about specific applications or any other aspect of these technologies?
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.
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 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-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.
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.
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.