Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined by analyzing a distribution of signal strength according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined through computer vision according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined by analyzing a distribution of signal strength according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined through computer vision according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has a defect is determined through computer vision according to the spectrogram.

Abstract: A hologram module includes a phosphor layer and a rainbow hologram sheet. The phosphor layer has a phosphor array structure. The rainbow hologram sheet has a first display layer and a second display layer. The first display layer is disposed on the phosphor layer and has a first barcode array corresponding to the phosphor array structure. The second display layer is disposed on the first display layer and has a second barcode array corresponding to the first barcode array. The phosphor array structure, the first barcode array and the second barcode array are chromatic. A color of the phosphor array structure meets with a color combined by the first barcode array and the second barcode array so as to display a hologram image converted from light emitted by the phosphor array structure via the first and second barcode arrays.

Abstract: A hologram module includes a phosphor layer and a rainbow hologram sheet. The phosphor layer has a phosphor array structure. The rainbow hologram sheet has a first display layer and a second display layer. The first display layer is disposed on the phosphor layer and has a first barcode array corresponding to the phosphor array structure. The second display layer is disposed on the first display layer and has a second barcode array corresponding to the first barcode array. The phosphor array structure, the first barcode array and the second barcode array are chromatic. A color of the phosphor array structure meets with a color combined by the first barcode array and the second barcode array so as to display a hologram image converted from light emitted by the phosphor array structure via the first and second barcode arrays.