Industrial AI Lab

Build a training base that can train models, develop agents and produce outcomes

The public website explains modules and value. Specific configuration and commercial terms are confirmed through scenario diagnosis.

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Core modules of the demonstration center

The public page turns the Xinghai Plan proposal into customer-readable product language.

Cameras, lenses, lighting, OCR, QR recognition, dimension measurement, defect detection and data labeling.

Robotics, visual positioning, flexible feeding, MES, digital twin, RFID, warehousing, OEE, SPC and predictive maintenance.

Model training, industrial knowledge base, AI lab assistant, quality-analysis agent and maintenance agent.

Teacher slides, manuals, student tasks, experiment guides, datasets, rubrics, graduation topics and competition topics.

Different schools can start from foundation teaching, integrated training, agent enhancement or full demonstration-center construction.

For machine vision and introductory AI inspection courses.

For production-line, MES, digital twin and senior project training.

For SPARK, knowledge bases, AI assistants and industrial agent projects.

For school-level or provincial industry-education integration projects.

1-2 weeks to confirm site, class size, target outcomes and budget path.

4-6 weeks for hardware, software, course assets and SPARK environment.

1-2 weeks for deployment, integration and data checks.

2-3 weeks for teacher training, pilot tasks, optimization and acceptance materials.