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| Title: | AI人臉辨識產業及市場進入策略分析：以H公司為例
Exploring AI Facial Recognition Market Positioning Strategy: A case study of H company |
| Authors: | 吳祚昀
Wu, Tsuo-Yun |
| Contributors: | 周冠男
Robin K. Chou
吳祚昀
Wu, Tsuo-Yun |
| Keywords: | AI
人臉辨識
身份辨識
門禁
RFID
市場區隔
策略型態分析
AI
Facial Recognition
Identity Verification
Access Control
RFID
Market Segmentation
Strategic Pattern Analysis |
| Date: | 2024 |
| Issue Date: | 2024-08-05 12:40:35 (UTC+8) |
| Abstract: | H公司為門禁及身份驗證領導品牌，在北美及全球市場擁有極高的市占率，之所以能如此成功，歸功於其以RFID技術為核心所開發出的一套封閉式的身份加密系統，這個系統獲得北美主要企業及政府部門之信賴與認可，並產生依賴性。
隨著身份證件數位化，門禁及身份驗證需求並逐漸走向無錢包、無卡化，生物識別的需求在過去已經成為身分證件以外之第二因子，主要以指紋辨識作為唯一不可取代之身份特徵。除此之外，近年AI技術的演進，也促使了人臉辨識技術在精準度及可靠度上超越了指紋辨識。2019年底COVID-19席捲全球，人們對於觸摸及接觸式的技術感到恐慌，非接觸式的AI人臉辨識躍昇為市場主流。人臉辨識市場伺伏已久，來自各個不同垂直市場的各家知名大廠，皆準備藉此機會一展身手。
H公司隸屬於安全產業領導企業A集團，A集團主業為門鎖及所有開關門相關設備，面對科技及AI技術帶動產業變革，H公司身為集團內負責核心技術供應者的腳色，背負著帶領企業及集團轉型並與新科技技術接軌的重擔。本文探討H公司在如此的時空背景下，如何定義市場以及市場進入策略。
Company H is a leading brand in access control and identity verification, holding a significant market share in both North America and globally. Its success can be attributed to the development of a closed identity encryption system centered around RFID technology. This system has gained trust and recognition from major enterprises and government departments in North America, resulting in a strong dependency on it.
As identity documents become digitized, the need for access control and identity verification is gradually moving towards a wallet-free and card-free approach. In the past, biometric authentication has become a secondary factor beyond identity documents, with fingerprint recognition being the irreplaceable unique identifier. Additionally, advancements in AI technology in recent years have led facial recognition technology to surpass fingerprint recognition in terms of accuracy and reliability. The global COVID-19 pandemic at the end of 2019 heightened public fear of touch-based technologies, propelling contactless AI facial recognition to become a market mainstream. The facial recognition market had long been dormant, with well-known companies from various vertical markets ready to seize this opportunity.
Company H is part of Group A, a leading entity in the security industry. Group A's main business revolves around locks and all door-related equipment. Facing industry transformation driven by technological and AI advancements, Company H, as the core technology provider within the group, bears the responsibility of leading the company and the group in adapting to new technologies and facilitating transformation. This article explores how Company H defines its market and formulates its market entry strategies in such a context. |
| Reference: | 文獻參考
一、 文獻
1. MarketandMarket (2024/2) Facial_Recognition_Market - Global Forecast to 2028。
2. 王崇吉(2013)「嵌入式系統設計人臉辨識應用」，義守大學電機工程學系碩士論文(pp.1-3)，高雄、台灣。
3. 陳俞臻;廖冠智(2015/5)「人臉辨識技術現況發展與未來應用趨勢」，中華民國設計學會研究論文(pp.1388)， doi:10.6668/CID-IDSFC.201505.0232。
4. 黃湘蓉(2022/6)「保險科技創新遠距服務-以國泰人壽為例」，國立高雄科技大學金融資訊系碩士論文(pp.54)，高雄、台灣。
5. 賴秋萍(2022/6)「非接觸式體溫偵測與人臉辨識產品在COVID-19期間的行銷策略之探討」，淡江大學國際企業學系國際行銷碩士在職專班碩士論文(pp.28-29)，新北市，台灣。
6. 藍彥鴻(2020/7)「人臉辨識應用於教室點名系統之研究」，國立聯合大學機械工程學碩士論文(pp. 4)，苗栗、台灣。
7. 顏子棋(2023/6)「探索AI科技警政執法的公共價值」，亞洲大學經營管理碩士論文(pp. 30)，台中、台灣。
8. 達文西個資暨高科技法律事務所(2022/10)「歐盟、英國及加拿大對警察機關或執法機關運用人臉辨識技術之指引或其他相關文獻探討委託研究計畫_結案報告」(pp. 23)，國家發展委員會，台灣。
9. Consultative Committe of the Convention for the protection of individuals with regard to automatic processing of personal data (Convention 108):“Guidelines Facial recognition WEB A5 2750-3427-6868.1.” (2021/6), Council of Europe。
10. 陳宇春(2021/6)「人臉辨識在邊緣運算裝置的應用探討」，國立台北科技大學管理學院資訊與財金管理EMBA專班碩士論文(pp.32)，台北、台灣。
11. 曾婉菁(2014/6)「人臉偵測及辨識方法探究」，刷科技期刊第三十卷第二期(pp.23)，中央印製廠技研室，台灣。
12. 司徒達賢(2024/5/4:第二次修訂)「司徒達賢策略管理講義」，國立政治大學管理學系，台灣。
二、 網路參考資訊
13. Precedence Research: Artificial Intelligence (AI) Market Size, Growth, Report By 2032 (Oct. 2023) https://www.precedenceresearch.com/artificial-intelligence-market#:~:text=The%20global%20artificial%20intelligence%20(AI,19%25%20from%202023%20to%202032.
14. Research and Markets: Facial Recognition Market Size, Share & Trends Analysis Report By Technology (2D, 3D, Facial Analytics), By Application (Access Control, Security & Surveillance), By End-use, By Region, And Segment Forecasts, 2023 – 2030 (Aug. 2023) https://www.researchandmarkets.com/report/facial-recognition?name=rtdsa&gad_source=1&gclid=CjwKCAiAopuvBhBCEiwAm8jaMUgCfmg3-DKdAJy9YFftTz195MJWLAky6cL41T-Yk4xtfcs675YewhoCfpsQAvD_BwE
15. 訊連科技，人臉辨識原理及邊緣運算應用 【2024 最新版】(2023/12/14) https://tw.cyberlink.com/faceme/insights/articles/208/Facial-Recognition-at-the-Edge-The-Ultimate-Guide
16. Face Technology Evaluations - FRTE/FATE，National Institute of Standards and Technology (NIST), An official website of the United States Government, United States of America.(2024/04/15) https://www.nist.gov/programs-projects/face-technology-evaluations-frtefate
17. 聯合新聞網，「中國6億支「天眼」監控 記者實測7分鐘就遭逮」(2019.5.14)，遠見天下文化轉載於: https://www.gvm.com.tw/article/60799
18. Porter, M. E.，Competitive strategy, N. Y.，Free Press，Crazy Financier整理「Micheal Porter五力分析架構，1980」，本文原發表於2017/10/9: https://crazyfinancier.pixnet.net/blog/post/123593658-micheal-porter%E4%BA%94%E5%8A%9B%E5%88%86%E6%9E%90%E6%9E%B6%E6%A7%8B |
| Description: | 碩士
國立政治大學
經營管理碩士學程(EMBA)
111932128 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111932128 |
| Data Type: | thesis |
| Appears in Collections: | [經營管理碩士學程EMBA] 學位論文
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