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  6. Case Study: Nikken Academy - Implementing a Face Recognition System for Attendance Confirmation

Case Study: Nikken Academy - Implementing a Face Recognition System for Attendance Confirmation

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last updated:Jan 10, 2025

NECソリューションイノベータ
NECソリューションイノベータ
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Utilizing facial recognition, we achieve stricter attendance management without the need for staff to verify identities!

We would like to introduce a case study on the implementation of facial recognition in the attendance management system of Nikken Academy, operated by Kenchiku Shiryō Kenkyūsha Co., Ltd. Nikken Academy is a vocational school specializing in the acquisition of qualifications for architects, real estate transaction agents, and various construction management engineers, with 114 directly operated schools nationwide. Before the implementation, there were the following customer challenges: - The hassle of preparing conventional IC cards - The desire to conduct strict identity verification, such as comparing with facial photos to prevent proxy attendance, but lacking sufficient manpower For details on how these challenges were resolved, please refer to the published catalog. This case study was released via PR TIMES by our sales partner, Sanshin Electric Co., Ltd. You can view it through the related links.

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導入事例_日建学院.jpg

Case Study: Nikken Academy - Implementing a Face Recognition System for Attendance Confirmation

導入事例_日建学院.jpg
導入事例_日建学院.jpg
  • Related Link - https://prtimes.jp/main/html/rd/p/000000003.000149…

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basic information

【Face Recognition Spoofing Prevention Solution】 This is a face recognition system that does not require a database or network. It can be implemented using a single smart device along with a QR code or IC card, allowing for lower implementation costs compared to conventional face recognition systems that require a face recognition server. Additionally, it contributes not only to enhanced security but also to fraud prevention and efficiency. 【Example Operating Environment】 ■ Windows PC: Recommended Core i3 2GHz or higher, RAM 4GB or higher         Microsoft Windows 10 x64 or Microsoft Windows 11 ■ Built-in camera or USB-connected camera: Must be able to capture at least 300,000 pixels (VGA 640×480) ■ QR code printer (JPEG/PNG output available) ・Sato Petit lapin PW208 series ・Sato SCeaTa CT4-LX ■ QR code reader: Denso Wave QK30 series/FC1-QOPU ■ IC card reader/writer: USB-connected NFC card reader/writer *For more details, please refer to the PDF document or feel free to contact us.

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【Main Use Cases】 - Entry and exit management for visitors to buildings/factories - Verification of qualifications for workers - Attendance confirmation for university/vocational school students - Identity verification for ATM users - Age verification for self-checkout, etc. *For more details, please refer to the PDF document or feel free to contact us.

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[Face Recognition Spoofing Prevention Solution] Case Study of Introduction by Architectural Materials Research Institute, Nikken Academy

[Face Recognition Spoofing Prevention Solution] Case Study of Introduction by Architectural Materials Research Institute, Nikken Academy

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Face recognition spoofing prevention solution

Face recognition spoofing prevention solution

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NECソリューションイノベータ

NECソリューションイノベータ

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Our company engages in system integration, service business, and foundational software development. As a core company of the NEC Group that creates social value through ICT, we have strengths in system implementation. We are continuously working on our internal digital transformation (DX) and leveraging that experience to contribute to the DX promotion of society and our customers. As a company with a large number of top-class engineers in the country, we provide system integration and services nationwide that support social infrastructure through ICT and contribute to enhancing our customers' corporate value and solving social issues.

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