Patent Document ID: 9547544
Application ID: 14306967
Patent Flag: 1

Claim One:
1. A method for verifying a bad pattern in sensing data, the method comprising: receiving bad pattern information applied to sensing data measured by a sensor; accessing the sensing data of each product, generated by the sensor; calculating similarity measures between the bad pattern based on the bad pattern information and the accessed sensing data; and calculating an error rate of the bad pattern based on the similarity measures, wherein the calculating of the error rate of the bad pattern comprises: querying information of each product; and calculating the error rate of the bad pattern by comparing the information with at least one of the calculated similarity measures, wherein the calculating the similarity measures between the bad pattern based on the bad pattern information and the accessed sensing data comprises calculating a first similarity measure between the bad pattern based on the bad pattern information and the sensing data according to a first standard and a second similarity measure between the bad pattern based on the bad pattern information and the sensing data according to a second standard, wherein each of the first and second similarity measures have a value in a range between 0, which means non-similarity, and 1, which means sameness, and wherein the calculating of the bad pattern error rate comprises: when one or more of the first and second similarity measures of a particular product have a value 1 and the particular product is determined as a good product based on the information, selecting the particular product as an error case of the bad pattern information: and calculating the error rate based on a number of error cases.