Method for screening rare earth magnets using magnetic images
Patent Information
- Application Number
- TW115100776
- Authority / Receiving Office
- TW · TW
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2026-01-08
- Publication Date
- 2026-09-21
- Estimated Expiration
- 2046-01-07
Smart Images

Figure TWG2TB001912638_001 
Figure TWG2TB001912638_002 
Figure TWG2TB001912638_003
Abstract
Claims
1. A method for screening rare-earth magnets using magnetic images, implemented by a camera device and a processing device, the processing device storing a magnetic image dataset, an artificial intelligence model architecture, and a training algorithm, the magnetic image dataset having several pre-processed images, the method comprising the following steps: (S1) training the artificial intelligence model architecture using the training algorithm and the pre-processed images through the processing device to generate a pre-trained artificial intelligence model; (S2) developing a magnet to be tested using a magnetic imaging module to obtain a magnetic image; (S3) capturing the magnetic image using the camera device to obtain a magnetic image to be tested; (S4) receiving the magnetic image to be tested through the processing device; (S5) predicting the magnetic image to be tested using the artificial intelligence model through the processing device to generate several prediction probability values; and (S6) generating a corresponding prediction result based on the prediction probability values through the processing device.
2. The method for screening rare-earth magnets using magnetic images as described in claim 1, wherein, This artificial intelligence model architecture extracts features through machine learning training algorithms to generate feature information, and uses this feature information to identify or classify the magnetic image to be tested.
3. The method for screening rare-earth magnets using magnetic images as described in claim 2, wherein, This artificial intelligence model architecture extracts features through unsupervised machine learning to generate feature information, and then uses this feature information to identify or classify the magnetic image under test through supervised machine learning.
4. The method for screening rare-earth magnets using magnetic images as described in claim 1, wherein, In this step (S6), the prediction result includes at least one prediction probability value and a corresponding magnet category, which includes rare earth magnets or non-rare earth magnets.
5. The method for screening rare-earth magnets using magnetic images as described in claim 1, wherein, In this step (S2), the magnetic imaging module is configured as a magnetic field observation film.
6. The method for screening rare-earth magnets using magnetic images as described in claim 1, wherein, In this step (S2), the magnetic imaging module is connected to the camera device and brought close to the magnet to be tested to display the magnetic image.
7. The method for screening rare-earth magnets using magnetic force images as described in claim 6, wherein, In this step (S2), an automatic machine controls the magnetic imaging module to approach the magnet to be tested in a vertical direction to display the magnetic image.
8. The method for screening rare-earth magnets using magnetic force images as described in claim 1, wherein, Before step (S2), there is a step (S11) in which the magnet to be tested is transported to a detection area by an automatic machine.
9. The method for screening rare earth magnets by magnetic image as described in claim 8 further includes a step (S7) following step (S6), wherein the processing device controls a conveyor belt of the automatic machine to transport the magnet to be tested from the detection area to a rare earth magnet area or a non-rare earth magnet area based on the prediction result.
10. The method for screening rare earth magnets by magnetic image as described in claim 8 further includes a step (S12) following step (S11) and preceding step (S2), wherein the magnet to be tested is positioned by a fixing device of the automatic machine.
Citation Information
Patent Citations
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