Page 540 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

Use Case Status: Production line application

Partners

This technology is a solution developed entirely independently by SmartMore Technology.

This innovative technology was developed solely by SmartMore Technology. Their core
expertise lies in visual AI, which forms the backbone of their holistic industrial intelligent quality
inspection solution. This integrates hardware, software, data, and deployment, delivering high-
precision defect detection, dimensional accuracy, and assembly quality checks. SmartMore's
solution is designed for rapid integration into production lines, boasting a ≥99% defect
detection rate and ≤5% false positive rate, ultimately reducing costs and boosting productivity.

2�2 Benefits of the use case

1) the use case enables rapid implementation and application of intelligent quality
control

2) the use case solves the cumbersome nature of data annotation and cleaning, and the slow
pace of model training.
3) it generates algorithm solutions and handles tasks such as data annotation, parameter tuning,
and model training

4) the use case enhances manufacturing process automation and inspection accuracy, supports
flexible production, optimizes resource utilization, pushes industries toward more efficient and
sustainable digital transformation.

2�3 Future Work

The development direction of the industrial large model IndustryGPT mainly focuses on the
expansion of intelligent manufacturing industry scenarios, the refinement and commercialization
of customized solutions, human-machine collaboration, cross-industry applications, and
sustainable development.

IndustryGPT will focus on providing intelligent solutions to address issues such as flexible
production equipment and rapid line changes.

IndustryGPT will empower manufacturers to quickly achieve model training, software
integration, and production line deployment even without professional algorithm engineers,
greatly improving production efficiency and product quality.

IndustryGPT will also provide personalized solutions based on the needs of different industries,
serving as an intelligent assistant to enhance human-machine collaboration, improving safety
and efficiency.

In addition, it will explore the potential in multiple fields such as energy, logistics, and emergency
response to drive digital transformation.
At the same time, IndustryGPT is committed to optimizing resource allocation, improving
business quality, supporting enterprises in achieving sustainable development goals, and
becoming an important force in promoting industrial intelligence

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