Forensic Intelligence Based on Photo Image Analysis

Authors

DOI:

https://doi.org/10.32631/v.2025.4.28

Keywords:

forensic intelligence, criminal analysis, portrait examination, photographic examination, special knowledge.

Abstract

The article continues the study of theoretical and practical aspects of such an information and analytical process as forensic intelligence. It is considered as a separate type of criminal analysis carried out by a person (subject) who has special knowledge in the field of forensic examination or with the involvement of such a person. Forensic intelligence based on photo image analysis combines elements of analytical, expert and operational-investigative activities, ensuring the systematisation and evaluation of criminally significant information to improve the effectiveness of investigations. The concept of “forensic intelligence based on the analysis of photographic images’’ is defined as a type of criminal analysis that involves the systematic collection, processing, evaluation and interpretation of visual data using specialised knowledge in the field of portrait and photographic expertise. It is emphasised that the involvement of an expert ensures the objectivity and evidential value of the results obtained. At the same time, automated recognition systems should be considered only as an auxiliary tool that requires mandatory expert verification. Domestic and foreign experience has been analysed, in particular the use of OSINT methods, artificial intelligence technologies and face recognition systems in forensic practice. The main stages of forensic investigation using photographic images have been identified, from the collection of materials and initial processing to their verification and the formation of analytical conclusions.

It is concluded that the further development of this area requires the creation of a unified methodological base, improvement of interaction between analytical and expert units, expansion of technical capabilities and a system for training specialists. This will contribute to the formation of an effective national model of forensic intelligence that is compatible with international standards.

Downloads

Download data is not yet available.

Author Biography

  • O. A. Kozhevnikov, Kharkiv Scientific Research Forensic Center of the Ministry of Internal Affairs of Ukraine

    Department for Research in the Field of Information Technologies (head).

References

1. Milne, R. (2012). Forensic intelligence. CRC Press.

2. Oderiy, O. V., & Kozhevnikov, O. A. (2020). Getting criminally significant by analysis of open internet sources. Law Journal of Donbass, 4(73), 144–155. https://doi.org/10.32366/2523-4269-2020-73-4-144-155.

3. Stepaniuk, R. L. (2024). Intelligence in criminalistics and investigative activities. Bulletin of the Luhansk Scientific-Educational Institute named after E. O. Didorenko, 2(1), 191–203. https://doi.org/10.33766/2786-9156.106.1.191-203.

4. Torbas, O. O. (2024). OSINT in criminal investigation. Yurydyka.

5. Fedchak, I. A. (2021). Fundamentals of criminal analysis. Lviv State University of Internal Affairs.

6. Shcherbakovskyi, M. (2024). Open Sources of Cyberspace as Objects of Forensic Research. Theory and Practice of Forensic Science and Criminalistics, 35(2), 10–27. https://doi.org/10.32353/khrife.2.2024.02.

7. Pyrih, I., & Prokopov, S. (2024). Use of modern technical and forensic means of recognition and identification of a person by signs of external characteristics during the investigation of criminal offenses. Scientific Bulletin of Dnipro State University of Internal Affairs, 4(131), 129–136. https://doi.org/10.32782/2078-3566-2024-4-19.

8. Kumar, A., Singh, P., & Bhoi, A. K. (2022). Face Recognition System Based on Convolutional Neural Network (CNN) for Criminal Identification [Conference presentation abstract]. Proceedings of International Conference on Communication and Artificial Intelligence, Singapore.

Published

29-12-2025

Issue

Section

Criminal Procedure and Criminalistics; Forensic Examination; OSA

How to Cite

“Forensic Intelligence Based on Photo Image Analysis” (2025) Bulletin of Kharkiv National University of Internal Affairs, 111(4), pp. 353–366. doi:10.32631/v.2025.4.28.