I don't think the reason can be easily worked out. The one-shot learning of background introducing error in an object is purely speculative reasoning. On top of that, in a real-world situation, the background never really stays static.
I tried to give them the benefit of doubt when they got mixed demo results in the Linley demo a few months back.
Not expecting iPhone quality presentation as someone is alluding to which is irrelevant in the discussion as I don't care about aesthetics.
Demo should at least work to its designed purpose. And the same inaccuracy in identifying the object happened again.
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brainchip holdings ltd
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2020 BRN Discussion, page-18247
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22.5¢ |
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Open | High | Low | Value | Volume |
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No. | Vol. | Price($) |
---|---|---|
4 | 140842 | 22.0¢ |
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Price($) | Vol. | No. |
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22.5¢ | 828616 | 25 |
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No. | Vol. | Price($) |
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26 | 1470459 | 0.210 |
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49 | 1579694 | 0.200 |
Price($) | Vol. | No. |
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0.225 | 441596 | 15 |
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