Edge AI + IoT = AIoT Computing from BVM

• Management, analysation and provision of meaningful insights
• Fast and accurate analysis

• Localised and centralised intelligence
• Confidentiality and data privacy
• Maintenance of security against data attack

Boosting Operational Efficiency

AI in IoT processes continuous data streams and uncovers hidden patterns. Machine learning with AI predicts operational conditions and identifies optimal parameters. Intelligent IoT reveals redundant processes and optimizes tasks to boost efficiency.

Eliminates Costly Unplanned Downtime

Predictive maintenance using AI-enabled IoT can foresee equipment failures in sectors like offshore oil & gas and industrial manufacturing. This allows for scheduled maintenance, avoiding costly unplanned downtime.

Increase IoT Scalability

IoT devices vary from mobile gadgets to low-end sensors. Typically, IoT setups use sensors to generate vast data. An AI-driven IoT ecosystem analyses and summarizes this data, reducing its volume for easier management and scalability, enabling multiple devices to connect.

Better Risk Management

Pairing AI with IoT enables businesses to predict and manage risks, automating prompt responses. This helps in handling financial loss, employee safety, and cyber threats more effectively.

New and Enhanced Products & Services

NLP is improving human-device communication. IoT and AI can create new products or enhance existing ones by quickly processing and analysing data.

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.

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.

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.

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).

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.

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.

Machine Learning

Machine Vision

Computer Vision

NVIDIA: Jetson (GPU)

Nvidia Jetson is a series of embedded computing boards designed for efficient machine learning applications. The Jetson TK1, TX1, and TX2 incorporate Nvidia’s Tegra processors with ARM architecture CPUs. Jetson is energy-efficient and supports AI acceleration.

NVIDIA JetPack SDK is a comprehensive solution for developing AI applications on Jetson platforms. It includes TensorRT, cuDNN, CUDA Toolkit, VisionWorks, GStreamer, and OpenCV, all on L4T with an LTS Linux kernel. JetPack equips Jetson Developer Kits with the latest OS, libraries, APIs, samples, documentation, and developer tools.

CPU + GPU Computing

A Graphics Processing Unit (GPU) is a specialized chip designed for fast image rendering. They’ve become essential in modern supercomputing, growing data centers, and acting as accelerators to speed up tasks like encryption, networking, and AI. GPUs have fueled an AI boom, playing a crucial role in modern supercomputers and advancing gaming and professional graphics.

Modern GPUs excel in computer graphics and image processing. Their parallel structure makes them more efficient than general-purpose CPUs for processing large data blocks simultaneously. Multiple GPUs are used in supercomputing, workstations for video processing and 3D rendering, VFX, simulations, and AI training workloads. Unlike CPUs, NVIDIA GPUs have CUDA Cores, tiny processors that execute code.

Intel Movidius: Vision Processing Unit (VPU)

A vision processing unit (VPU) is a type of microprocessor designed to speed up machine vision tasks. VPUs are ideal for executing various machine vision algorithms and often capture visual data directly from cameras. They are built for parallel processing, with some being low power and high performance, suitable for programmable use.

VPUs can handle algorithms like CNN (convolutional neural networks) and SIFT (Scale-invariant feature transform). They emphasize on-chip data flow and often bypass off-chip buffers.

Field-Programmable Gate Array (FGPA)

A field-programmable gate array (FPGA) is an integrated circuit designed to be configured post-manufacturing, hence “field-programmable”. It includes programmable logic blocks and reconfigurable interconnects, allowing various configurations.

Compared to GPUs, FPGAs offer interface flexibility and integration of programmable logic with CPUs and peripherals. GPUs excel in parallel processing of floating-point operations with numerous small cores, providing substantial processing power and efficiency. FPGAs, though versatile, are often seen as less suitable for new technologies like self-driving cars or deep learning.

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.

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.

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.

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.

AIoT 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..

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 accelerator cards 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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