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AI-empowered manufacturing quality prediction system

 

  • Problem definition: Quality inspection refers to measuring various quality indicators of products through a series of technologies. Quality inspection is conducted to detect defective products and ensure the reliability of the final product.
  • Prevalence: Due to various uncertainties in the manufacturing workshop, defective products will inevitably be produced. Therefore, quality inspection links widely exist in various production workshops, such as automobile and electronic manufacturing industries.
  • Importance: Product quality problems will cause product recalls and damage the brand's market reputation and customer loyalty. Therefore, developing efficient and high-precision quality inspection systems can significantly improve product quality and corporate competitiveness.

 

Team members

Mr Wang Tian Yue* (PhD (SYE, 2025), City University of Hong Kong)
Mr Wang Teng (MSc (MISM, 2026), City University of Hong Kong)
Ms Tong Jing Jing (PhD (IS, 2026), City University of Hong Kong)

* Person-in-charge
(Info based on the team's application form)
Achievement(s)
  1. National 2nd prize in the 10th National College Student Energy Saving and Emission Reduction Social Practice and Science and Technology Competition
    Department of Higher Education, Ministry of Education of the People's Republic of China (2017)
  2. National 1st prize in the 15th 'Challenge Cup' National College Student Extracurricular Academic Science and Technology Works Competition
    Department of Higher Education, Ministry of Education of the People's Republic of China (2017)