However, developers are often faced with a crucial question: whether to build an AIoT system from scratch or seamlessly integrate an existing solution. To determine whether you need to design an AIoT system from scratch or integrate an off-the-shelf system. Ultimately, the decision comes down to your use case and application. However, making this choice requires careful consideration of various factors.
What is an AIoT system?
AIoT systems typically consist of sensors, edge devices, cloud infrastructure, and AI models. Sensors collect data from the physical world, edge devices process and filter this data locally, cloud platforms provide the necessary storage and computing resources, AI models analyze the data and extract insights, and Trigger an action. Applications of AIoT span fields such as healthcare, manufacturing, agriculture, transportation, and smart cities.
DIY AIoT Innovation
DIY solutions involve creating an AIoT system from scratch. This includes assembling off-the-shelf hardware and software components, developing custom AI models, and integrating them.
This approach provides unparalleled flexibility, customization, and control. Enthusiasts and professionals alike can benefit from cost savings and innovation opportunities. However, developing a DIY system requires significant time, effort, and expertise, and the risk of error is high.
When it comes to hardware options, there are several off-the-shelf products from different brands that offer different features to meet the requirements of different projects. For example, Intel's AI Vision X toolkit stands out for its advanced AI capabilities. Suitable for projects that require high-performance edge computing and AI interfaces.
In addition to hardware, there are a variety of software tools available to designers. OpenCV, a widely used computer vision library, provides a rich set of functions for image processing and manipulation. Essential for AIoT projects that involve visual data analysis. Two of the most popular deep learning frameworks, TensorFlow and PyTorch, provide comprehensive support for building and training neural networks, allowing developers to create custom and sophisticated AI models. The Intel Open VINO Toolkit is specialized for optimizing and deploying AI models on Intel hardware to ensure maximum performance.
When sourcing data for AIoT applications, developers have many solution options. Publicly available datasheets and databases serve as valuable sources of structured data. It can provide insights into a variety of areas, including weather, finance, demographics, and more. Web scraping techniques can be used to extract data for analysis and decision-making. Additionally, sensors play a key role in collecting real-world data.
Braemac has everything developers need to design their own AIoT systems, from controllers to sensors. Intel's Atom® family is a cutting-edge series of processors that provides unparalleled power, durability, and scalability for AIoT network infrastructure and security, acceleration, and storage appliances. Atom processors allow developers to find the ideal balance between performance and cost.
Additionally, Renesas RZ 32 and 64-bit MPUs are now available on Braemac. These comprehensive microprocessors power AIoT systems with high-performance CPU cores and a variety of accelerators and peripherals. Developers can easily implement human machine interface (HMI), embedded vision, embedded artificial intelligence (e-AI), real-time control, and industrial Ethernet connectivity.
To get started with Intel's Atom family or Renesas' RZ 32/64-bit MPU series, contact Braemac today.
Off-the-shelf AIoT innovations
Off-the-shelf AIoT solutions provide pre-built AI models, data processing pipelines, and connectivity solutions for streamlined AIoT application development. These reduce complexity and improve overall time to market, but at the cost of less flexibility, customization, and control over the final product. Although these solutions are supported by resources such as expert support and maintenance services, they can come at a high cost.
Major cloud service providers such as Google Cloud IoT, Microsoft Azure, and Amazon Web Services (AWS) offer all-in-one AIoT platforms that encompass a wide range of services such as data management, analytics, and AI capabilities. These platforms not only provide the infrastructure needed to deploy AIoT solutions, but also provide a scalable and secure environment for data processing/storage. Additionally, they often integrate seamlessly with other services within the provider's ecosystem.
Similarly, industry giants such as IBM Watson IoT, SAP Leonardo IoT, and Oracle IoT offer robust solutions customized to meet the needs of specific industries. These companies leverage their extensive expertise to deliver end-to-end solutions that address unique challenges in sectors such as manufacturing, healthcare, and transportation. The company's platforms typically include advanced AI analytics tools, industry-specific AI models, and pre-built integrations with enterprise systems.
Additionally, regional cloud providers such as Alibaba Cloud IoT, Baidu IoT, and Tencent IoT have emerged as strong competitors in the AIoT space. These companies leverage their deep understanding of local markets and strong technical capabilities to offer competitive solutions in specific regions. By leveraging extensive network infrastructure and data processing capabilities, organizations can harness the power of AI and IoT to drive business growth and innovation.
Off-the-shelf solutions are currently available and in stock at Braemac. ADLink's DLAp-211-ORIN is an edge AI platform featuring deep learning acceleration using NVIDIA® Jetson Orin™ NX or Orin Nano™ modules. It's compact, fanless, and durable for 24/7 operation.
iBase's EC3500 is a complete edge AI with NVIDIA® Jetson™ AGX ORIN, incorporating an 8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU, 2MB L2 and 4MB L3 / 12-core NVIDIA Arm® Cortex A78AE v8 It's a computer. .2 64 bit. Ideal for AI applications in the retail, healthcare, manufacturing, and transportation sectors.
Contact Braemac today to learn more about DLAp-211-ORIN, AIE-CO21/31, AIE-CIE-CN31/41, and EC3500.
Choose a solution that fits your design
Criteria for comparison include cost, complexity, scalability, security, and performance. DIY solutions are flexible and cost-effective, but require considerable expertise. Off-the-shelf solutions offer convenience and reliability, but can limit customization and incur higher costs. The one you choose depends on your project requirements, budget, and technical proficiency.