Building AIOT Solutions using Unified AI Device Framework
Hands-On Workshop
In a world where machines are becoming smarter and more connected, AIoT (Artificial Intelligence of Things) is driving the next wave of intelligent automation—across industries like manufacturing, smart cities, healthcare, and beyond.
This 2-day hands-on workshop guides participants through four major steps to build a complete AIoT (Artificial Intelligence of Things) solution, using a real-world Industry 4.0 use case. Attendees will work with low-power sensor nodes, industrial gateways, cloud/on-prem server integration, and AI-powered analytics — all using an open-source Unified AI Device Framework.
RuggedBOARD RB-i.MX6UL
Specifications
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Processor: NXP-i.MX 6 UL
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SOM: phyCORE-i.MX 6UL
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Processor Architecture: ARM-Cortex A7
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Clock Frequency: 686 MHz
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OS Build: Yocto Linux
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Kernel-Version: Linux Kernel 4.9
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RAM: 512MB
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ROM: 512MB NAND Flash
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Temperature Range: - 40° to + 85°C
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Industrial Interfaces:
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1x CAN
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1x RS485
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2x RS232
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8x DIO
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1x Ethernet (10/100)
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2x USB
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GPIOs (Number Configurable)
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Standard mikro-BUS
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1x mPCIe
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1x SIM and SD card slot
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Expansion: I2C, SPI, UART, PWM
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Built on the phyCORE-i.MX6UL System on Module, the RuggedBOARD is an open-source, industrial-grade SBC with support for both Yocto and Debian BSPs. It is pre-integrated with the Unified AI Device Framework, enabling rapid prototyping through low-code/no-code tools and open-source packages.
Key Takeaways
By the end of the workshop, you'll gain practical experience in:
Integrate field devices using standard protocols like MODBUS, OPC-UA
Configure data flow: store, forward, trigger rules, and actions
Connect to cloud or on-premise servers; perform AI-based data analytics
Manage devices remotely: configuration, monitoring, and FOTA (Firmware Over-The-Air)
AIoT Foundation & Application Development
Applications
Industry-4.0
Smart Utility
Advance Robotics
Building Automation
Smart Farming
EVCS
Advance Drones
Energy Management Systems
Aerospace