HACARUS to exhibit at Nagoya Smart Factory EXPO

HACARUS To Exhibit At Nagoya Smart Factory EXPO

The AI visual inspection system “HACARUS Check linked withFANUC CRX Series” on display for the first time in Nagoya.

September 27th, 2023, Kyoto, Japan – HACARUS, on a mission to bring the next generation of instruments to every industry, today announced that it’ll exhibit at the 6th Nagoya Smart Factory EXPO, to be held at Port Messe Nagoya, from October 25th to 27th. 

Nagoya Smart Factory EXPO is an exhibition of manufacturing innovations focused on the IoT, AI and FA/robot fields that enable smart factory and digital transformation (DX) efforts. At HACARUS booth, located at 33-10, demonstrations of the AI visual inspection system “HACARUS Check for FANUC CRX Series” (which is linked to FANUC’s collaborative robot “CRX series”) will be exhibited for the first time in Nagoya.

Exhibition overview

6th Nagoya Smart Factory EXPO

Date: October 25th-27th,10:00 am – 5:00 pm
Venue: Port Messe Nagoya 3rd Exhibition Hall (2-2-7 Kinjofuto, Minato-ku, Nagoya, Aichi Prefecture)
Booth number: 33-10
Complimentary Admission ticket 

Exhibited products

HACARUS Check for FANUC CRX Series (CFCS-1000)

Fully automated 360° inspection – achieving full unmanned operation by utilizing two robots, one for inspection purposes and the other for material handling and transportation.
Product Site

Video: Experience HACARUS Check visual inspection in motion (CFCD-1000)


HACARUS INC, on a mission to bring the next generation of instruments to every industry, has since its founding in 2014, supplied AI solutions across the medical, manufacturing and construction fields in Japan – and beyond. Headquartered in Kyoto, Japan, and backed by Daikin, Osaka Gas and Miyako Capital (Kyoto University), among others, its technology enables humans to make better, faster, and more reliable decisions based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com

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