Title:
微視的差異からの機械学習を使用する物体の真贋鑑定
Document Type and Number:
Japanese Patent JP6767966
Kind Code:
B2
Abstract:
A method for classifying a microscopic image includes receiving a training dataset (306) including at least one microscopic image (305) from a physical object (303) and an associated class definition (304) for the image that is based on a product specification. Machine learning classifiers are trained to classify the image into classes (308). The microscopic image (305) is used as a test input for the classifiers to classify the image into one or more classes based on the product specification. The product specification includes a name of a brand, a product line, or other details on a label of the physical object.
Inventors:
Ashles Sharma
Lakshminarayanan Subramanian
Vidus Srinivasan
Lakshminarayanan Subramanian
Vidus Srinivasan
Application Number:
JP2017504609A
Publication Date:
October 14, 2020
Filing Date:
April 09, 2015
Export Citation:
Assignee:
ENTRUPY INC.
International Classes:
G06N3/08; G06T7/00; G06F16/50; G06F16/55; G06N20/00
Domestic Patent References:
| JP2012226763A | ||||
| JP2012524343A | ||||
| JP2010139317A | ||||
| JP2002216133A |
Foreign References:
| US20130284803 |
Other References:
直江健介,外2名,情報セキュリティとAI,人工知能学会誌,第21巻第5号,日本,(社)人工知能学会 ,2006年 9月 1日,第21巻,pp.577-585
岡谷貴之,「Deep Learning(深層学習)」〔第4回〕,人工知能学会誌,第28巻第6号,日本,(一社)人工知能学会,2013年11月1日,第28巻,pp.962-974
石渕久生,外2名,ファジィ識別システムにおける投票識別方式,日本ファジィ学会誌,第9巻第2号,日本,日本ファジィ学会,1997年,第9巻,pp.251-260
岡谷貴之,「Deep Learning(深層学習)」〔第4回〕,人工知能学会誌,第28巻第6号,日本,(一社)人工知能学会,2013年11月1日,第28巻,pp.962-974
石渕久生,外2名,ファジィ識別システムにおける投票識別方式,日本ファジィ学会誌,第9巻第2号,日本,日本ファジィ学会,1997年,第9巻,pp.251-260
Attorney, Agent or Firm:
Murai Koji
Takayuki Ishikawa
Takayuki Ishikawa