The relevance of this study is due to the fact that the level of criminogenic situation in the Russian Federation is becoming more and more aggravated every year. The number of criminal manifestations is growing, which are associated with careful preparation, organization, and the use of advanced information technologies that allow you to commit illegal actions at a remote level, thereby maintaining anonymity and avoiding responsibility. In this regard, there are special computer technologies in the law enforcement system, with the help of which it is possible to recognize the face of a wanted offender in any public place. Facial recognition systems greatly facilitate the work of law enforcement agencies, since they allow you to determine the exact location of the guilty person in real time, what he is wearing, what actions he is performing, and so on. In this scientific article, special attention is paid to information systems for facial recognition, which find their practical application in the activities of law enforcement agencies, help in the detection and investigation of crimes, and serve as means of prevention. The information technologies underlying the studied systems are considered. Examples of the positive use of face identification systems by law enforcement agencies are given. The trends of expanding the use of systems in the future are being studied.
information technology, face recognition system, face identification, law enforcement
1. Shapovalova G. M., Shapovalov V. V. Forensics and its role in the prevention of crimes based on information technologies. Police activity, 2019, no. 2, pp. 187–199. (In Russ.)
2. Yarovenko V. V. Forensic dermatoglyphics: monograph. Vladivostok: Federal University Publ., 2021. (In Russ.)
3. Face Off: Law Enforcement Use of Face Recognition Technology. URL: https://www.eff.org/wp/law-enforcement-use-face-recognition (accessed 01.02.2024). (In Russ.)
4. Vsmagilov R. A., Galimov E. E. Information technologies used for collecting, checking and evaluating evidence in criminal proceedings / Current problems of the state and society in the field of ensuring the rights and freedoms of man and citizen: collection of articles of the international scientific and practical conference. Ufa: Ufa Law University of the Ministry of Internal Affairs of the Russian Federation, 2020. Pp. 285–290. (In Russ.)
5. Tishchenko E. V., Sayadova A. S. Technological innovations in the field of crime prevention: trends and risks. Russian investigator, 2019, no. 5, pp. 62–66. (In Russ.)
6. Facial recognition in transport. URL: https://ntechlab.ru/solution/transportnaya-bezopasnost/?ysclid=lq5xdcnada13113772 (accessed 01.02.2024). (In Russ.)
7. They want to look for traffic violators by their faces. URL: https://www.gazeta.ru/auto/2022/04/14/14735 306.shtml?ysclid=lq606u64x0570416930 (accessed 01.02.2024). (In Russ.)
8. Four thousand crimes were solved in the capital using video surveillance cameras. URL: https://vm.ru/news/1081404-chetyre-tysyachi-prestuplenij-raskryli-v-stolice-s-pomoshyu-kamer-videonablyudeniya?ysclid=lq5zhjfh8f316896625 (accessed 01.02.2024). (In Russ.)
9. Seven crimes were immediately solved in the Murmansk region using cameras. URL: https://abnews.ru/szfo/news/murmansk/2023/12/11/srazu-sem-prestuplenij-raskryli-v-murmanskoj-oblasti-s-pomoshhyu-kamer?ysclid=lq5zxj30h0201800802 lq5zhjfh8f316896625 (accessed 01.02.2024). (In Russ.)
10. Ivanov V. V., Nesterov A. Yu. Law in the artificial environment of a third nature: the legal status of a digital twin. Human World: Normative Dimension — 6. Norms of thinking, perception, behavior: similarities, differences, interrelationships: collection of proceedings of the international conference. Saratov, 2019. Pp. 234–240. (In Russ.)
