🧑🏾‍💻| Tech

Plug and Play AI Dev Boards for Robotics and Automation:

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Aug 26, 2023 01:36 AM
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Plug-and-Play-AI-Dev-Boards
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📱| Technology
🤖| AI/ML
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This report provides a tailored selection and comparative analysis of plug and play AI development boards for robotics and automation. The recommended boards include Intel Edison, Raspberry Pi 3B+, Jetson Nano, and ASUS Tinker Board. Microsoft Azure Sphere is highlighted for its IoT network capabilities, while Jetson Nano, Intel Edison, Raspberry Pi 3B+, and ASUS Tinker Board are discussed for their specific features and strengths. Factors such as processing power, connectivity, scalability, peripheral support, board memory, and wireless capabilities are considered in the comparative analysis. The conclusion emphasizes that the choice of the most suitable board depends on the project's requirements and highlights the unique features of each board for AI, IoT, and robotics applications.
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🧑🏾‍💻| Tech
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Oct 21, 2023 10:39 PM

A Tailored Selection and Comparative Analysis

As the Fourth Industrial Revolution (4IR) embraces automation, robotics, and artificial intelligence (AI), the selection of the right development board becomes a crucial element in the ecosystem. This report identifies the suitable plug and play Artificial Intelligence (AI) development boards for robotics and automation based on the information available.
 

Selection of Suitable Boards

Given the broad possibilities, the highly recommended development boards deemed suitable for AI and IoT projects due to their ease of use or plug-and-play nature consist of Intel Edison, Raspberry Pi 3B+, Jetson Nano, and ASUS Tinker Board. Boards such as Arduino Uno and Arduino MKR family are favorable given their popularity among the maker community, although their processing power is significantly lower.

Microsoft Azure Sphere

Azure Sphere by Microsoft is an ideal solution for building IoT networks thanks to its cloud interface. It furnishes an array of development kits and additional security modules making it a suitable pick for secure, robust, and scalable IoT networks (Youngwonks).

Jetson Nano

NVIDIA's Jetson Nano stands as a sturdy contender in the AI processing realm. With the ability to run multiple neural network applications simultaneously, this board is excellent for high workload tasks (Intuz).

Intel Edison

Intel Edison has been designed to adhere to advanced IoT applications. With primary features of supporting Bluetooth, Wi-Fi and cloud connectivity, it is furnished with 1GB RAM and 4GB flash memory (Intuz).

Raspberry Pi 3B+

The Raspberry Pi 3B+ is a microprocessor-based development board with substantial processing power. It can be turned into a small computer, useful for image processing, AI, and machine learning tasks, (Automate.org).

ASUS Tinker Board

Equipped with its operating system, Tinker OS, the ASUS Tinker Board is packed with a potent GPU, ideal for handling AI-based applications and graphics processing (Automate.org).

Comparative Analysis

For a thorough comparative analysis, it is crucial to consider several factors such as processing power, connectivity, scalability, peripheral support, board memory, and wireless capabilities.
The Jetson Nano and ASUS Tinker Board stand out due to their high processing power and GPU capabilities. They are best suited for advanced tasks related to AI, machine learning, and image processing, giving them a significant advantage over boards like the Arduino Uno.
Azure Sphere by Microsoft provides secure IoT connectivity and scalability, partnered with diverse hardware options and pre-built security modules that give a competitive edge for IoT-centric automation and prototyping projects.
In terms of peripheral support and robust single-board capacity, Raspberry Pi 3B+ exhibits exceptional prowess, boasting ample processing power and expandability.
Despite being discontinued, Intel Edison is still a reliable option because of its powerful single-board design, adequate processing power, and connectivity capabilities.
In conclusion, the selection of the most suitable plug-and-play AI development board for robotics and automation is heavily reliant on the specific requirements of the project. The boards mentioned in this report each exhibit unique features and strengths which set them apart and contribute to making them ideal choices for various applications in AI, IoT and robotics.
 

References

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