Method and System for Assessing Pogo Pins Health Condition

  • Xiaoge Zhang (Inventor)
  • , Shun Sun LUK (Inventor)
  • , Huang, Jingyuan (Inventor)
  • , Wong, Chak-Nam (Inventor)
  • , Yanwen Jin (Inventor)

Research output: Patents, agreements, assignments and companiesPatents granted

Abstract

The present invention relates to a method (100) and a system to assess Pogo pins health condition using Artificial Intelligence (AI) in real time. The method (100) comprising inputting one or more features from a plurality of tested Pogo pins; constructing a health index module (104) based on the features inputted using a feature selection module (102); and, applying a pre-trained deep learning module (105) to assess the health condition of the Pogo pins in realtime. The system comprising: a receiving module to receive one or more data inputs collected from a plurality of tested Pogo pins; a feature selection module (102) configured to select most important features from the inputs for constructing a health index module (104); and, a pre-trained deep learning module (105) to assess the Pogo pins health condition in real-time in a form of a health index percentage.
Original languageEnglish
Patent numberHK30104725
Filing date17/05/24
Publication statusPublished - 2025

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