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Machine Learning -based Airport Packaging Surface Defect Analysis

KoreaTenders notice for Machine Learning -based Airport Packaging Surface Defect Analysis. The reference ID of the tender is 69620823 and it is closing on 04 Aug 2022.

Tender Details

  • Country: South Korea
  • Summary: Machine Learning -based Airport Packaging Surface Defect Analysis
  • KRT Ref No: 69620823
  • Deadline: 04 Aug 2022
  • Financier: Self Financed
  • Purchaser Ownership: Government
  • Tender Value: KRW 173636361736364
  • Notice Type: Tender
  • Document Ref. No.: 20220731882-00
  • Purchaser's Detail:
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  • Description:
  • Machine learning -based airport packaging surface defect analysis is possible
    Reference number: Korea Airport Corporation No. 2022-77
    Allocation budget: 19,100,000 won
    Estimated price: 17,363,636 won (VAT: 1,736,364 won)
    Bidding date: 2022/08/02 10:00:00
    Bidding deadline: 2022/08/04 10:00:00
  • Documents:

 Tender Notice

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Machine Learning -based Airport Packaging Surface Defect Analysis - Korea Tender

The KOREA AIRPORTS CORPORATION, a Government sector organization in South Korea, has announced a new tender for Machine Learning -based Airport Packaging Surface Defect Analysis. This tender is published on KoreaTenders under KRT Ref No: 69620823 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2022-08-04.

The estimated tender value is KRW 173636361736364, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.

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