Case Details

Project Context: Preparing Digital Talent for the Energy Industry

As digital technologies reshape the energy sector, universities and enterprises need new ways to cultivate talent that understands both technical foundations and real deployment constraints. National policy has emphasized an energy digital innovation system, smart grids, energy storage, joint mentorship, and collaborative research.

Against this backdrop, SUEP's School of Computer Science and Technology partnered with Sight+ in September 2025 to launch its first industry-academia micro-course. The course used a theory-and-practice model to connect education, talent development, and industry needs while offering a framework other institutions can adapt.

Partnership Model: Academic Foundations Plus Enterprise Practice

SUEP contributes academic guidance and a strong foundation in energy and electric-power disciplines. Sight+, developer of the EasyAR platform, contributes AR expertise, enterprise-grade scenarios, spatial-data workflows, and technical mentors.

The collaboration is built on a shared principle: education and industry should move in tandem, while content and technology evolve together. This division of responsibilities gives students access to both theoretical context and the standards they will encounter in professional projects.

Learning Journey: From Technical Training to Working Projects

The course moved through three connected stages: expert lectures, a field visit, and full-cycle project development. Eighteen students from different majors learned AR development and applied it to campus navigation, equipment simulation, and historical scene reconstruction.

1. Expert Lectures: Understanding Spatial Computing

Tu Yi, Sight+ Co-founder, Vice President, and COO, introduced the evolution of the internet, the characteristics and trajectory of the metaverse, and the architecture of the EasyAR Mega Spatial Computing Platform. He showed how AR can provide engineers with equipment parameters and operational guidance, and how spatial computing can help museums digitally restore cultural relics. Students also received guidance on account setup and development-environment configuration.

2. Field Visit: Seeing AR in an Industrial Setting

At the Industrial Inspection Laboratory at Shanghai University, instructor Lu Fangfang led students through an AR-based equipment-maintenance system. Wearing AR glasses, students interacted with information overlaid on physical equipment and experienced how spatial computing can support inspection, maintenance, and operational understanding.

3. Full-Cycle Development: From Spatial Data to AR Delivery

Senior engineer Chu Xinhao guided students through Unity integration, SDK usage, virtual-physical alignment, animation, interaction logic, and scene debugging. Teaching assistant Li Longwei helped teams follow enterprise-grade data-collection standards.

Teams then completed the complete workflow: collect spatial data, build maps through cloud processing, develop AR applications, debug scenes, and deliver functional projects. The process made project rationale and problem-solving methods as important as the final visual result.

Outcome Validation: Structured Review of Student Projects

The course concluded with a project roadshow and a joint review by SUEP faculty and Sight+ industry experts. Projects were assessed across innovation, completeness, practicality, and presentation quality.

Notable projects included a Campus AR Navigation System with dynamic route guidance and contextual information pop-ups, and an Equipment Simulation AR Application for virtual disassembly and assembly of power equipment. Both demonstrated potential for practical use.

Project Value: A Repeatable Industry-Education Model

For universities, enterprise platforms, practical scenarios, and expert resources make it possible to bring frontier technologies into the curriculum and shorten the distance between academic content and professional practice.

For enterprises, collaboration develops a pipeline of graduates with foundational AR skills and provides new perspectives through student projects in the energy sector. Both sides gain a more direct way to align talent development with technology implementation.

SUEP and Sight+ plan to continue exploring technology-plus-education models in artificial intelligence, the metaverse, spatial computing, and the digital transformation of energy. The inaugural course offers a practical reference for other universities and enterprises building similar partnerships.

Frequently Asked Questions

What role did Sight+ play in the AR micro-course?

Sight+ provided AR technology, practical scenarios, expert lectures, field-visit support, full-cycle development mentoring, and participation in project evaluation.

What technology and use cases supported the course?

The EasyAR Mega platform contributed high-definition mapping, large-scale environmental perception, real-time localization, and motion tracking. Related use cases include cultural tourism, museums, shopping malls, airport navigation, and hospital indoor navigation.

What did students do during the practice-driven phase?

Students learned Unity integration and SDK usage, collected spatial data to enterprise standards, built maps through cloud processing, and delivered functional AR applications.

Which Sight+ personnel participated?

Tu Yi delivered the lecture on the metaverse and spatial computing. Senior Engineer Chu Xinhao instructed students on Unity integration, SDK usage, and development techniques.

What are the future plans for industry-education integration?

SUEP and Sight+ plan to continue developing technology-driven education models and to promote AR adoption in industry-academia collaboration, supporting both the AR industry and the cultivation of related talent.