AI based tech at JCK
DiaCam360
to lift veil on
automated
diamond grading!
Its
automatic grading
system
is data analysis and AI
DiaCam360
has initiated a new venture that will lead to the automated identification of a
diamond’s color and clarity, based on a proprietary database of hundreds of
thousands of images of diamonds that were taken with the DiaCam360. All these
images were analyzed by the Deep Learning & AI (Artificial Intelligence)
platform developed by the AI department of Matrix, an Israel-based, global
leader in IT and software services company. All the diamonds in the database
were graded by GIA and have GIA diamond grading reports.
Lior
Hirsh, DiaCam’s Chief Operating Officer, said that DiaCam360 and Matrix has now
the ability to identify a diamond’s color matching the GIA grading reports. The
trial resulted in an impressive 90 percent success rate with regard to the
diamond’s color. These overwhelming, initial results were achieved without any
additional efforts or research. It is expected that after minor adjustments and
fine-tuning, and upon the integration of the data acquired by deep research, an
accuracy of at least 95 percent will be achieved.
“While
we are in the first phases of this exciting project, we wish to share this
important information with the global diamond industry and trade, our core
customer base. As we progress, the database will grow and the continuous, deep
learning process that goes on in the background, will lead us to better results
and accurate grading of color,” Hirsh said.
The
next target, Hirsh continued, is to reach a high accuracy in clarity grading as
well. “Naturally, that is the next mountain to climb, but it is progressing
well! We’ll have more news on automated grading by the time we get to the JCK
Las Vegas show at the end of May. We’ll be there, from May 31 to June 3rd, at
booth L307, Gallery, Level One. We look forward, among others, to gauge the
trade’s interest in this interesting advanced project, the market can benefit
from,” Hirsh stated.
Hirsh
noted also that DiaCam360’s initial trial is based on a database that was
compiled and built by DiaCam360, and, as explained, on images of diamonds that
were graded exclusively by GIA. “Obviously, we will be happy to apply our
methodology and program to any other lab or company that wishes to build a
similar data base of its own images, and as such enjoy the self-standing
results, for their own benefit,” he said.
“Of
course, by eliminating the human factor in a good number of stages of the
diamond grading process, the grading will become more consistent and achieve
higher accuracy. This will also result in substantial time and money savings,”
Hirsh added.
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