The future is the era of AI and embodied intelligence, where intelligent technology is rapidly integrating into various industries. With the rapid development of fields such as artificial intelligence, robotics, autonomous driving, and smart manufacturing, there is an increasing demand for versatile talents who master algorithm understanding, intelligent system design, and human-machine collaboration capabilities.
Industry Status and Talent Challenges:
- • The intelligent industry is in a period of rapid development, and the talent gap continues to widen.
- • The future industry scale is expected to reach trillions.
- • The current talent supply is difficult to match the pace of industrial upgrading.
To address the dual challenges of industrial upgrading and talent shortages, we have launched an AI and embodied intelligence training system based on real application scenarios, covering the entire process of algorithm learning, system integration, and experimental verification. This system helps universities build an efficient and practical teaching and research system for intelligent technology, bridging the complete talent cultivation path from theory to practice.
Design Overview
The VisionTech training platform adopts a modular design, integrating core modules such as open-source Harmony, AI computing, and robot control. Through standardized hardware interfaces and a comprehensive software development environment, VisionTech technology is packaged together, making development as simple as building blocks, enabling students to quickly engage in a full process of practice from basic experiments to comprehensive innovation.
Platform Features
- • Equipped with six expansion modules, supporting rapid software verification and simplifying the development process.
- • Possesses high and low-speed communication capabilities, strong expandability, and great development potential.
- • Provides an embedded intelligent hardware simulation development environment.
- • Can simulate and verify real products, supporting independent construction, with systems that can be disassembled and segmented.
- • Suitable for various scenarios such as project development, experimental verification, and skill competitions.
- • Compatible with multidisciplinary course systems including computer science, embedded systems, artificial intelligence, communications, and the Internet of Things.
Three Major Directions
Based on the above design, VisionTech has launched three major training platforms to establish a talent cultivation foundation for schools in the intelligent era.
First Direction: Open Source Harmony Training Platform
Based on the high-performance Rockchip RK3568 processor and equipped with the OpenHarmony operating system, this platform primarily focuses on cultivating talents in smart hardware, IoT, and embedded systems. The platform integrates processors, sensors, communication interfaces, and application frameworks, helping students understand the complete chain from underlying system principles, device interfaces, communication protocols to application development, establishing a solid foundation of engineering capabilities and understanding the essence of “how devices work”.
Second Direction: Embodied Intelligence and Robotics Training Platform
Represented by the Sweet Potato Pie platform, this direction focuses on the core aspects of future industrial upgrades. Students not only learn application development but also deeply understand how devices perceive the environment, make decisions, and execute actions. Platforms like S100 and X5 provide real computing power and sensor environments, supporting visual understanding, SLAM, multimodal fusion, AI inference acceleration, and robot control. In this direction, students achieve a leap from “function realization” to “intelligent system construction”.
Third Direction: FPGA + ARM Digital System and Hardware Acceleration Training Platform
Occupying a key position in the embedded system, this platform emphasizes the cultivation of underlying engineering capabilities, covering core content such as digital logic, image processing, interface protocols, and hardware acceleration. It is particularly important for majors in electronic information, communication engineering, and image processing, helping students master the underlying operating mechanisms behind complex systems.
The three directions are independent yet collectively construct a complete technical growth path from system fundamentals, application construction to intelligent capabilities.
Course System Support
Beyond the products, VisionTech provides each product with hundreds of hours of complete courses and teaching resources, including textbooks, experimental manuals, example projects, driver packages, and teacher training, allowing students to continuously progress along the corresponding paths, forming true engineering thinking and intelligent system capabilities. This ensures that courses can be implemented, teaching can be conducted, and projects can be produced.
Conclusion
VisionTech’s goal is not only to provide equipment but also to create a “systematic engineering learning capability”. We are committed to helping universities establish a practical, scalable, and sustainably evolving training system from foundational teaching to cutting-edge innovation, enabling students in the intelligent era to not only use tools but also build systems and achieve innovation.
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