Page 49 - MMI_-- JulyAug2021 (single)

“*Regarding quality inspection, katesan are company CTO and
human biases will be eliminated, COO, respectively.
leading to 30 to 40 percent re- With more than 25 years of ex-
duction in false rejections. With perience in building
5 to 8 percent improvement in de- Product and Digital
tection, there will be a higher level platforms in North
of customer satisfaction adding America and pas-
at least 1 percent to new revenues. sion for technology,
*In the QA process, Corrective Udayamurthy oversees
and Prevention Actions (CAPA) the platform architecture
can be implemented to eliminate and performance, besides
non-conformities with effective building effective and high-per-
analysis. With manual inspection forming teams. Source: Jidoka Technologies
or with conventional machine vi- Dr Iyengar is a technical innova-
sion installations, the analytics is tor and leads the product develop- to streamline our implementa-
not available for the user to take ment and data science divisions. tion process to ensure adequate
action on the defects. With a rich experience in man- check and balance to deliver the
*A 20 percent increase in the speed ufacturing and previous startup committed outputs.”
of inspection can be achieved in experience, Venkatesan heads the “Getting the right talent was
the Product Control aspect with marketing, sales and operations another challenge so we hired
inspection as a bottleneck get- functions at Jidoka Technologies. the talent that was versatile. We
ting eliminated and increase in provided them in-house train- By 2025,
throughput by 33 percent. Teething issues and ing to make them productive in Jidoka
*We provide an E2E solution that future plans a very short span of time,” he Technolo-
gies aims to
delivers committed output backed Talking about initial pain points, adds further. expand
by a commercial model.” Udayamurthy shares, “On the The team is looking at furthering its services
technical side, we had to stream- the company’s product develop- across the
Smart minds behind line our MLOPs to ease the deliv- ment in two areas: global
market of
the venture ery of models. Scaling of cameras The first step, shares Udayamur- the US, the
Along with Udayamurthy, the and working with the vendors thy, is to move to a KPI-driven tri- UK, Europe,
other two Co-founders Dr Krish- to iron out technical issues were aging of quality for organizations Southeast
na Iyengar and Vinodh Ven- part of the process. We also had i.e., managing economic, qual- Asia besides
ity and production constraints serving
and bringing in an incremental in the
Indian sub-
change in quality. continent.
“Secondly, we are looking at the
need of customers to have data
to ensure higher levels of accu-
racy, which is done by various
features for data augmentation
and experience-driven inferenc-
ing. For this, we will leverage the
cutting-edge work done in AI/
Machine vision such as Anom-
aly detection, 3D image gener-
ation, etc., and to this effect we
are productionizing some of the
concepts while patenting them
as well. We continue to evolve in
the hardware platforms as well,”
he states.
Source: Jidoka Technologies pand its services across the global
By 2025, the company aims to ex-

market of the US, the UK, Europe,
Southeast Asia besides serving in
the Indian sub-continent.

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