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 language | English |
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| Patent number | HK30104725 |
| Filing date | 17/05/24 |
| Publication status | Published - 2025 |