Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
권호 표지
DOI QR코드

DOI QR Code

Self-Photo Image Analysis and Reporting System Using ChatGPT4o

ChatGPT4o를 활용한 셀프포토 이미지 분석 및 리포팅 시스템

  • Bong-Ki Son (Department of Computer Engineering, Seowon University)
  • 손봉기 (서원대학교 컴퓨터공학과)
  • Received : 2024.10.01
  • Accepted : 2024.10.28
  • Published : 2024.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a system that extracts customer data from self-photos taken through a photo booth and automatically generates an operation report consisting of analysis results for each data and marketing strategy suggestions. The customer data to be extracted was selected based on attributes that could be used to analyze event operation results or to plan next year's event and establish promotional strategies. We utilize ChatGPT4o in image analysis, customer data analysis, and next marketing strategy proposal. As a result of analyzing self-photos taken at a local festival through the proposed system, customer data such as the number of people photographed, gender, age, relationship, and hairstyle were analyzed with high accuracy. In addition, the proposed system was shown to automatically generate operational reports based on customer data and marketing strategies extracted and analyzed by ChatGPT4o.

이 논문에서는 포토부스를 통해 촬영된 셀프포토에서 고객 데이터를 추출하고, 데이터별 분석 결과와 마케팅 전략 제안으로 구성되는 운영보고서를 자동 생성하는 시스템을 제안한다. 추출하는 고객 데이터는 행사 운영 결과를 분석하거나 차년도 행사 기획과 홍보 전략 수립에 활용될 수 있는 속성으로 선정하였다. 포토 이미지 분석, 고객 데이터 분석 및 차기 마케팅 전략 제안은 ChatGPT4o를 활용한다. 지역축제에서 촬영한 셀프포토를 제안 시스템에 적용한 결과, 촬영 인원수, 성별, 연령, 관계, 헤어스타일 등의 고객 데이터를 높은 정확도로 분석하였다. 또한, 제안한 시스템이 ChatGPT4o가 추출하고 분석한 고객 데이터와 마케팅 전략을 기반으로 운영보고서를 자동 생성하는 것을 보였다.

Keywords

References

  1. H. N. Park, G. Y. Lim, and J. H. Chu, "Photowave, photo kiosk based on facial recognition AI model," in Proceeding of HCI Korea 2024, Seoul: Korea, pp. 1289-1291, Jun. 2024, Retrieved from https://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE11714852
  2. J. E. Roh and H. Y. Ryoo, "Proposal of photo booth application for generation Z," in Proceeding of HCI Korea 2023, Gangwon: Korea, pp. 975-978, Feb. 2023, Retrieved from https://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE11229786.
  3. S. H. Jeong, "A study on photo booth design for vitalization of local brand -focused on Seoul and Gyeonggi local brand", Master's thesis, Hongik University, Republic of Korea, 2021. Retrieved from http://www.riss.kr/link?id=T15774257
  4. H. E. Bang (Korean Consumer Agency), Conventional survey for self photo studio service, Republic of Korea, 2023, Retrieved from https://www.kca.go.kr/smartconsumer/sub.do?menukey=7301&mode=view&no=1003597927.
  5. N. H. Kwon, H. Y. Choi, S. H. Park, and O. S. Seo, "Age-gender estimation using deep learning and statistics for a customized marketing and finding visitor patterns," in Proceeding of Korea Software Congress 2018, Pyeongchang: Korea, pp. 2303-2305, Dec. 2018, Retrieved from https://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE07614290.
  6. Y. K. Kim, G. H. Ryu, E. S. Hwang, B. H. Lee, and J. K. Yoo, "Open-source robot platform providing offline personalized advertisements," Journal of Convergence for Information Technology, Vol. 10, No. 4, pp. 1-10, Jan. 2020. DOI: https://doi.org/10.22156/CS4SMB.2020.10.04.001.
  7. Y. Liu, T. Han, S. Ma, J. Zhang, Y. Yang, J. Tian, H. He, A. Li, M. He, Z. Liu, Z. Wu, L. Zhao, D. Zhu, X. Li, H. Qiang, D. Shen, T. Liu, and B. Ge, " Summary of ChatGPT-related research and perspective towards the future of large language models," Meta-Radiology, Vol. 1, No. 1, Sep. 2023. DOI : /10.1016/j.metrad.2023.100017.
  8. S. S. Gill, M. Xu, P. Patros, H. Wu, R. Kaur, K. Kaur, S. Fuller, M. Singh, P. Arora, A. K. Parlikad, V. Stankovski, A. Abraham, S. K. Ghosh, H. Lutfiyya, S. S. Kanhere, R. Bahsoon, O. Rana, S. Dustdar, R. Sakellariou, S. Uhlig, and R. & Buyya, "Transformative effects of ChatGPT on modern education: emerging era of AI chatbots," Internet of Things and Cyber-Physical Systems, Vol. 4, pp. 19-23, Jun. 2024. DOI : 10.1016/j.iotcps.2023.06.002.
  9. O. Onesi-Ozigagun, Y. J. Ololade, N. L. Eyo-Udo and D. O. Ogundipe, "Revolutionizing education through AI: a comprehensive review of enhancing learning experiences," International Journal of Applied Research in Social Sciences, Vol. 6, No. 4, pp. 589-607, Apr. 2024. DOI: 10.51594/ijarss.v6i4.1011.
  10. J. Y. Oh, and Y. S. Jeong, "Enhancing critical semiotic competence through customized AI chatbots : a case study of the liberal arts course utilizing ChatGPT4.0(4o)," The Journal of General Education, Vol. 28, pp. 141-179, July 2024. DOI: 10.24173/jge.2024. 07.28.5.
  11. E. Y. Chang, "Examining GPT-4's capabilities and enhancement with SocraSynth," in 2023 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas: NV, pp. 7-14, Dec. 2023. DOI: 10.1109/CSCI62032.2023.00009.
  12. Human categorization of Johann Friedrich Blumenbach [Internet]. Available: https://en.wikipedia.org/wiki/Johann_ Friedrich_Blumenbach
  13. H. C. Conklin "Hanunoo color categories," Journal of Anthropological Research, Vol. 42, No. 3. pp. 339-344, Dec. 1955. DOI: https://doi.org/10.1086/soutjanth.11.4.3628909.