Leading the Charge in Smart Technology Integration
Welcome to the forefront of innovation, where Artificial Intelligence (AI), the Internet of Things (IoT) and Edge Computing converge to create seamlessly integrated AIoT systems for your industrial applications.
Here at BVM, we are deeply committed to supplying top-tier embedded and industrial computer hardware that forms the backbone of sophisticated AI, IoT, and Edge computing projects. Our technology solutions empower your projects to run smarter, faster, and more efficiently, ensuring real-time operational insights and system reliabilities that today’s dynamic industrial landscapes demand. Dive into our world of rigorous computing solutions tailored for the modern era of digital intelligence.
What is Artificial Intelligence?
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. AI can be applied to any machine that exhibits traits associated with a human mind, such as learning and problem-solving. The primary goal of AI is to create technology that allows computers and machines to function in an intelligent manner, enabling them to perform tasks that typically require human intelligence such as visual perception, speech recognition, decision-making, and translation between languages.
AI Technologies: An Overview of the Different Types of Artificial Intelligence
There are several different types of AI, which can be broadly categorized based on their capabilities and the approach used to create them. Here is an overview of the main types of AI.
The Impact of AI: A Closer Look at How AI is Transforming the Way We Work and Live
AI is having a profound impact on a wide range of industries, from healthcare and transportation to military and automation. It is changing the way we work and live.
Artificial Intelligence Hardware: From CPUs and GPUs, to TPUs, VPUs and FGPAs
The hardware required to use AI can vary depending on the specific AI application. Some AI algorithms are computationally intensive and require powerful hardware to run effectively.
What is IoT?
The Internet of Things (IoT) is a network of physical objects — devices, vehicles, appliances, and other items embedded with sensors, software, and other technologies — designed to connect and exchange data with other devices and systems over the internet. IoT extends internet connectivity beyond traditional devices like desktop and laptop computers, smartphones, and tablets to an array of devices and everyday things that utilize embedded technology to communicate and interact with the external environment, all via the Internet.
The IoT Evolution: A Closer Look at IIoT, AIoT and MIoT
In this article, we take a closer look at four key types of IoT: Industrial Internet of Things (IIoT), Artificial Intelligence of Things (AIoT), Cellular Internet of Things (CIoT) and Mobile Internet of Things (MIoT).
Comparing Cloud Services: Microsoft Azure vs. Amazon Web Services vs. Google Cloud
We take a closer look at the different cloud services offered by Microsoft Azure, AWS, and Google Cloud and compare them in terms of features, pricing, and performance.
IoT Hardware Development: From Concept to Creation
Learn how BVM can help you design and develop IoT hardware. Discover the power of AIoT and how it can enhance your IoT devices and take your IoT project to the next level with BVM’s expertise.
What is Edge Computing?
Edge Computing refers to the practice of processing data geographically closer to where it’s being generated, at the network’s edge, rather than in a centralized data-processing warehouse. This proximity to data at its source can lead to significant improvements in response times and save bandwidth. Edge Computing acts as a decentralized extension of the cloud and is particularly useful in scenarios where low latency or bandwidth constraints require immediate, local processing of data, such as in autonomous vehicles, industrial robotics, and smart cities technologies.
The Emergence of AIoT: A Revolutionary Symbiosis
When you combine Artificial Intelligence (AI) with the Internet of Things (IoT) and imbue it with Edge Computing capabilities, you pave the way for the advent of the AIoT — the Artificial Intelligence of Things. This is where AI meets the vast network of interconnected devices, enabling smarter decision-making at the source of data generation.
AIoT represents a transformative collaboration that breathes life into autonomous systems with cognitive abilities, elevating the efficiency, accuracy, and functionality of connected devices. It’s a step closer to a future where smart devices don’t just collect data, but also analyse and learn from it in real-time, leading to unprecedented levels of automation and predictive analytics in industries ranging from healthcare to manufacturing, and homeland security to urban development. With AIoT, the future of smart, self-sufficient systems is not just an aspiration but a tangible reality taking shape before our eyes.
Application Areas for AIoT Solution Integration
The Artificial Intelligence of Things (AIoT) is revolutionizing various industries by combining AI’s cognitive abilities with IoT’s connectivity. Here are ten significant areas where AIoT is making a substantial impact:
- Industrial Automation: In manufacturing, AIoT facilitates predictive maintenance, optimizes production processes, and improves supply chain management, leading to increased operational efficiency.
- Healthcare Monitoring Systems: Wearables and sensors integrated with AIoT offer real-time health data analysis, alerting for preventive measures, and personalized healthcare suggestions enhancing patient care.
- Transportation and Fleet Management: AIoT improves routing, monitors vehicle health, enhances logistics, and provides advanced driver-assistance systems (ADAS) to boost safety and efficiency in transportation.
- Smart Cities: AIoT plays a crucial role in developing smart cities, managing traffic flows, optimizing public transportation, and improving waste management through smart sensors.
- Smart Home Automation: AIoT enables smart devices to learn homeowners’ habits and adjust settings for lighting, temperature, and security for convenience, energy efficiency, and enhanced safety.
- Security and Surveillance: AIoT enhances security systems with facial recognition and automated alerts, thereby providing sophisticated monitoring and proactive threat assessments.
- Agriculture and Farming: Precision agriculture powered by AIoT technologies enables monitoring of crop health, soil conditions, and automating irrigation systems, significantly enhancing farming productivity.
- Energy Management: AIoT systems in energy sectors can predict demand, balance loads, detect outages, and contribute to sustainable energy practices by managing renewable energy sources efficiently.
- Retail and Customer Experience: Retailers use AIoT to tailor shopping experiences, manage inventory smartly, and create efficient checkout processes, transforming the retail landscape with data-driven insights.
- Environmental Monitoring: Utilizing AIoT for monitoring air quality, water levels, and other environmental factors can provide data to predict and prevent ecological disasters and improve sustainability initiatives.
How to bring an Edge AI Solution to market
- Development kits to help test and prototype your edge AI solution are readily available, but DEV Kits are rarely suitable for use in the environment where they will ultimately be deployed.
- A purpose-built industrial-grade AI system based on Nvidia Jetson, Intel Movidius, or a high-end GPU, will be more appropriate and will offer more reliable long-term operation.
- Our edge AI systems are designed for use in environments where shock, vibration, or extreme temperatures can be a problem, and will run 24/7 for many years.
Tailored AIoT Solutions for Every Need
At BVM, we understand that the demand for IoT-based projects is as varied as the applications themselves. To cater to this diversity, we have developed an extensive portfolio of scalable products through our robust OEM partner network. Our offerings range from edge-based PCs to high-performance edge servers, all engineered to deliver reliable and efficient performance solutions tailored to your specific requirements.
Each of our solutions is backed by industrial lifetime availability programs, ensuring a minimum of 3-5 years of steadfast service.
With BVM, rest assured that your AIoT hardware needs are met with precision and durability.
Edge Servers – High Performance Computers
BVM’s edge servers put you in control of the industrial IoT solutions you’re looking to develop and deploy – allowing your application to constantly analyse right where the data is being produced.
With our edge servers, processing, information delivery, storage and IoT management can be completed ‘in situ’ saving you computational time, reducing bandwidth costs and improving latency.
Edge Devices – Low Powered, High Performance Computers
Our solutions can help with applications such condition monitoring of multiple devices for the purpose of predictive maintenance or anomaly detection in communications networks.
BVM supply systems with powerful and capable CPU’s providing processing engines that can handle several applications simultaneously.
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IoT Controllers – Low Powered,
Ultra Compact Computers
Essentially, Industrial IoT gateways serve as computers that allow devices and sensors to communicate with one another, as well as communicate information to the cloud. However, IoT gateways are capable of so much more in terms of processing, memory, and storage capacity in close proximity to sensory data – and BVM have a wide ranging portfolio of gateway products to cover a multitude of computing needs.
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Deep Learning Computers
Whilst GPU-accelerated hardware is a central point of deep learning and AI, it is worth understanding that the hardware requirements vary significantly depending on which stage the of the AI journey you are at – Development, Training or Inferencing. Each has very different needs and BVM recognises this by offering a range of solutions within each area to ensure every price range and performance requirement is met.
AI Accelerator Cards
BVM provide a wide range of Industrial AI / AIoT accelerator card solutions for machine vision, learning and AI applications requiring additional processing power whilst maintaining a ruggedized design. These systems typically integrate either a VPU (Vision Processing Unit), FGPA ( Field-Programmable Gate Array) or GPU (Graphics Processing Unit) and still retain the option where you can maintain a rugged design.
Motherboards and SBCs
Small Form Factor Industrial and Embedded Motherboards and SBCs. Industrial Grade Motherboards provide the backbone for Industrial PC Systems, they are revision controlled and are available for a longer time scale compared to commercial motherboard’s and typically operate over a wider temperature range than their commercial equivalents.
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GPU/VPU Accelerated Computers
BVM provide a wide range of Industrial GPU accelerated solutions for machine vision, learning and AI applications requiring additional processing power whilst maintaining a ruggedized design.
These systems typically integrate either a VPU (Vision Processing Unit) or GPU (Graphics Processing Unit) and still retain the option where you can maintain a fanless design.
AI Ready Panel PCs
AI-powered imaging applications require a suite of enabling technologies. First and foremost, processors equipped with HD graphics features and hardware-accelerated video encoding/decoding are a must. These capabilities are available on a selection of our Panel PC compute devices that are equipped with Intel Core processors. Deployments already exist in a wide array of industries including medical imaging, industrial automation and transportation.
AI Development Kit
BVM provide starter kits to allow users to unleash the power of modern artificial intelligence solutions to allow the development of understanding and skills around visual processing units (VPU) and dedicated hardware accelerators for running on-device deep neural network applications. We’re also here to support you where a guiding hand is needed.
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AI Hardware Accelerators
GPU | CPU | TPU | VPU | FPGA
An AI accelerator is a kind of specialised hardware accelerator or computer system created to accelerate artificial intelligence apps, particularly artificial neural networks, machine learning, robotics, and other data-intensive or sensor-driven tasks. They usually have novel designs and typically focus on low-precision arithmetic, novel dataflow architectures or in-memory computing capability.
Intel / AMD / ARM / Qualcomm
(CPU)
NVIDIA: RTX / AMD: RADEON / INTEL: ARC
(GPU)
NVIDIA:
Jetson
(CPU + GPU)
Google Coral
Edge
(TPU)
Intel Movidius: Vision Processing Unit
(VPU)
Field-Programmable Gate Array
(FGPA)
The Power of GPUs: Unleash High-Performance Industrial Computing
We explore the fascinating world of GPUs, starting with a look at what a GPU is and the different types available. From scientific simulations to artificial intelligence and data analysis, GPUs are revolutionizing high-performance computing across various industries.
Exploring Different Types of CPUs: A Comprehensive Guide
CPUs come in various types, each designed to meet specific needs and applications.
In this article, we will explore the different types of CPUs and their respective roles in computing.
Accelerating Artificial Intelligence: An Overview of AI Accelerators
AI accelerators are dedicated processors designed specifically to accelerate AI-related computations, enabling faster and more efficient execution of AI algorithms. Let’s explore the different types of AI accelerators and their unique characteristics.
