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Commercialization of real-time inspection on high-speed manufacturing lines using deep learning technology
Winner of the Innovator Awards at the North American Robotics & Automation Show
SUA Lab won the Platinum award at the Innovators Awards presented by Vision Systems Design at the 2017 North American Robotics & Automation Show (Automate 2017) held in Chicago.
Automate 2017 is the world's most comprehensive automation conference, bringing together robotics, artificial intelligence, machine vision, motion control, and other cutting-edge automation technologies. The Innovator Awards are presented annually at global automation or machine vision conferences such as the Vision Show or Automate.

The Innovator Awards presented by Vision Systems Design evaluate and award the products and brands that have brought the most innovation to the machine vision and imaging processes industry at an annual international conference. The Innovator Awards conduct fair evaluations of companies leading innovation based on criteria such as originality, innovation, user impact, marketability, and productivity improvement.
In particular, Suah Lab was recognized for being the first to introduce artificial intelligence deep learning technology in the field of machine vision and commercializing real-time inspection on high-speed manufacturing lines. Last year, the American semiconductor company Texas Instruments (TI) and the world's number one industrial robot manufacturer FANUC won the gold and bronze awards, respectively.
Director Moon Tae-yeon, CSO of SUALAB, who attended the awards ceremony, shared his thoughts on the win, stating, “Last year, when we attended The Vision Show 2016 after being selected as one of the Global Top 8 startups in the machine vision field, I met the winners of the Innovator Awards. It is a new feeling to see SUALAB become the Grand Prize winner this year.” He added, “Through this award, SUALAB’s technological capabilities and market potential have been recognized by the market, so we will take the lead in developing differentiated technologies as a frontrunner in the fields of artificial intelligence and machine vision.”
Winner of the Innovator Awards at the North American Robotics & Automation Show
SUA Lab won the Platinum award at the Innovators Awards presented by Vision Systems Design at the 2017 North American Robotics & Automation Show (Automate 2017) held in Chicago.
Automate 2017 is the world's most comprehensive automation conference, bringing together robotics, artificial intelligence, machine vision, motion control, and other cutting-edge automation technologies. The Innovator Awards are presented annually at global automation or machine vision conferences such as the Vision Show or Automate.
The Innovator Awards presented by Vision Systems Design evaluate and award the products and brands that have brought the most innovation to the machine vision and imaging processes industry at an annual international conference. The Innovator Awards conduct fair evaluations of companies leading innovation based on criteria such as originality, innovation, user impact, marketability, and productivity improvement.
In particular, Suah Lab was recognized for being the first to introduce artificial intelligence deep learning technology in the field of machine vision and commercializing real-time inspection on high-speed manufacturing lines. Last year, the American semiconductor company Texas Instruments (TI) and the world's number one industrial robot manufacturer FANUC won the gold and bronze awards, respectively.
Director Moon Tae-yeon, CSO of SUALAB, who attended the awards ceremony, shared his thoughts on the win, stating, “Last year, when we attended The Vision Show 2016 after being selected as one of the Global Top 8 startups in the machine vision field, I met the winners of the Innovator Awards. It is a new feeling to see SUALAB become the Grand Prize winner this year.” He added, “Through this award, SUALAB’s technological capabilities and market potential have been recognized by the market, so we will take the lead in developing differentiated technologies as a frontrunner in the fields of artificial intelligence and machine vision.”
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