AIET

Developed Iris Algorithm and Iris, Object, Facial recognition Modules and RDKs. Currently, developing DOS(Distant Object Screening type) Iris and Facial Recognition Technology and Access control device

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Highlights

  • A long-range(1.5m~2m) dynamic target iris recognition Technology Startup.
  • Offering a New Vision of Iris Recognition Technology
  • To realize the more convivence Iris Recognition, Developing AIET’s DOS(Distance Object Scanning) Technology that capture moving object and biology object.
  • Creating 3 types of prototype(Working mock-up, come in handy version)
  • BMs(1.Iris Recognition, 2.Pet, Animal Scan Device, 3. Saas, BigData Analyses) regarding in association with Security, Pet, Fintech, Data, AI fields.

Company Overview

Developed Iris Algorithm and Iris, Object, Facial recognition Modules and RDKs.

Currently, developing DOS(Distant Object Screening type) Iris and Facial Recognition Technology and Access control device with exclusive technology of Aiet that sets the capture volume space; DOS zone (1 cubic meter), and automatically recognizes the shape and the iris in the face.

Problem Overview

Solution Overview

Founders' Bio

Kwang Jei, Woo

CEO

After graduated from university, he joined Kumho Group. After moved to Netmarble, C&S Cooperation, he became an expert of Investment, Analysis, M&A business with 15 years of experience. He was in charge of Merging and Investment field in the company and carried out various project including E-commerce and Golf&Hotel Resort Property. He started his own business since 2018 and achieved unequaled development projects. Several R&D Projects are successfully carried out by his team.

Kwang Woon, Choo

CTO

- Seoul National UNIV. of Science and Technology(SEOULTECH) Master(ABD) of Electronic Engeenering - Hyundai/KCC Computer Systyem Management Manager - Korea Aerospace University, Principal Research Engineer

  • About AIET
  • Website : www.aiet.co.kr
  • Location : JeonJu, South Korea
  • Founded year : 2018
  • Company size : 7 people
  • Total funding amount: $0.1 Mil
  • Markets: Artificial intelligenceFace recognition