Preview

Devices and Methods of Measurements

Advanced search

Electronic Shooting Simulator Family "STrIzh": Development of Mock-Ups and Investigation of the Initial Level Simulator Error

https://doi.org/10.21122/2220-9506-2026-17-1-39-53

Abstract

Development of rifle electronic simulators (i.e. for hand weapons and not using ammunition) is an important task, since the production of any type of small arms, according to regulatory documents, also requires the production of a simulator to instill aiming and firing skills. The developing family of electronic shooting simulators "STrIzh" includes three publicly available levels for self-assembly: initial, basic and virtual. Structural diagrams of aiming point recorders and entry-level weapon simulators are given and a technique for self-assembly of the simulator from publicly available components is developed: laptop, webcam, weapon models, infrared LEDs. Several types of trigger sensors have been developed with a recommendation to use a touch button (especially for a machine gun). New approaches to estimation of mathematical models’ error for aiming point recorders are proposed and new modified mathematical models are also tested in order to minimize the number of calibration points which is important during manual adjustment. Invariance of mathematical models from the firing distance using the second infrared LED and correction of coordinates by using this LED was checked, its performance in a small range of distance changes was shown. Orientation to initial shooting training requires constant tracking and analysis of the aiming trajectory with the issuance of instructions for adjusting the grip-aiming-holding-descent, and therefore high-speed webcams. The studies of the error in determining the aiming point for four types of mock-ups of the simulator showed that the subjective component (the ocular method of aiming during calibration and verification) makes the most significant contribution to the error and it is recommended that the calibration of the mock-up be carried out only by experienced users necessarily from the stop and using the trigger sensor.

About the Author

S. F. Egorov
Udmurt Federal Research Center of the Ural Branch of the Russian Academy of Sciences
Russian Federation

Address for correspondence:

Udmurt Federal Research Center of the Ural Branch of the Russian
Academy of Sciences,
Baramzina str., 34,
Izhevsk 426067,
Russia
stos.mitm@mail.ru



References

1. Moiseenko AA, Enotkina DM. The use of innovative technologies in the process of training in the fire training of cadets and students of educational organizations of the MIA of Russia. Bulletin of the Barnaul Law Institute of the Ministry of Internal Affairs of Russia. 2023;1(44):343-346. (In Russ.).

2. Gorlov OYu. Methodology for the development of training exercises from a pistol in typical situations of official activity (using the example of security and escort police units). Policing. 2023;(1):43-54. (In Russ.). DOI: 10.7256/2454-0692.2023.1.38047

3. Bulavin AA, Vatylev GM. Implementation of game and competitive training methods in practical fire training sessions with UIS students.IPA VPA Bulletin (collection of scientific papers). 2023;(3):132-137. (In Russ.).

4. Gorbunov BD. Use augmented reality to improve the effectiveness of fire and tactical training. Modern scientific research and innovation. 2023;(4):55-64 (In Russ.).

5. Mitrofanov OA, Beznedel'nyi SV, Voevodin AA. Development of a set of measures to update and improve the training of employees of the Ministry of Emergency Situations in fire training. Modern scientist. 2024;(1):206-211. (In Russ.).

6. Vorob'eva SM. The development of mass university sports on the example of the bullet shooting section of the Moscow Aviation Institute. News of Tula State University. Physical education. Sports. 2024;(11):68-74. (In Russ.). DOI: 10.24412/2305-8404-2024-11-68-74

7. Petrushin AV. Improving the quality of shooting from a standing position among qualified biathletes using the SKATT shooting simulator. Scientific notes of the University named after P.F. Lesgaft. 2024;(8):166-169. (In Russ.).

8. Viktorov AA. Analysis of material and technical support of the discipline "Fire training". Symbol of science: international scientific journal. 2024;1(3-2):139- (In Russ.).

9. Kosyachenko VI., Fatkhiev DM., Lazarev AV. Some features of fire and tactical training of employees of internal affairs bodies using innovative technologies. Bulletin of the Eurasian Academy of Administrative Sciences. 2025;(1):36-40. (In Russ.).

10. Ziambetov VYu. Bench shooting as part of the military applied physical training of student cadets of military training centers. Actual problems of physical and special training of power structures. 2025;(1):125-128. (In Russ.).

11. Egorov SF, Petukhov KYu. Shooting simulator «Inhibitor»: weapon simulator firmware. Intelligent systems in production. 2020;18(3):41-52. (in Russ.). DOI: 10.22213/2410-9304-2020-3-41-52

12. Kornilov IG, Afanas'eva NYu, Verkienko YuV. Reverse model of the system "projector screen optoelectronic convertertel" rifle simulator. Bulletin of ISTU named after M.T. Kalashnikov. 2007;(1):63-65. (in Russ.).

13. Egorov SF. Shooting simulator "Inhibitor": functional diagram of the software. Intelligent sys-tems in production. 2019;17(2):19-29. (In Russ.). DOI: 10.22213/2410-9304-2019-2-19-29

14. Egorov SF, Shelkovnikov YuK, Shelkovnikov EYu, Syakterev VN, Petukhov KYu, Milovzorov GV, Afanas'ev VA. Shooting simulator "Inhibitor": mathematical support for special effects of a shot. Intelligent systems in production. 2024;22(3):68-77. (In Russ.). DOI: 10.22213/2410-9304-2024-3-68-77

15. Egorov SF. Electronic Shooting Simulator Family "STrIzh": Research of Mathematical Models of Target Point Determiners on Entryand Basic Levels. 2024;15(4):295-306. (In Russ.). DOI: 10.21122/2220-9506-2024-15-4-295-306

16. Jedrasiak K, Daniec K, Sobel D. The Concept of Development and Test Results of the Multimedia Shooting Detection System. Future Technologies Conference (FTC) San Francisco. 2016;1057-1064.

17. Bogatinov D, Lameski P, Trajkovik V. Firearms training simulator based on low cost motion tracking sensor. MULTIMEDIA TOOLS AND APPLICATIONS. 2017;76(1):1403-1418. DOI: 10.1007/s11042-015-3118-z

18. Liu Yu, Wei P, Ke J. Algorithm Design For A Gun Simulator Based On Image Processing. International Conference on Optical Instruments and Technology. Optoelectronic Imaging and Processing Technology. 2015;9622(96220O).

19. Borja-Benitez MA, Tirado-Mendez JA, VasquezToledo LA. Shooting impact detection system on a fixed target using a dynamic video frame reference. IEEE International Autumn Meeting on Power Electronics and Computing. 2019. WOS:000569520800039.

20. Kingkangwan K, Chalainanont N, Kumsap C. Gun Identification using Image Synchronization for DTI's Virtual Shooting Range. 2nd Asian Conference on Defence Technology (ACDT) Chiang Mai, THAILAND. 2016;32-35.

21. Taylor P. Dispatch Priming and the Police Decision to Use Deadly Force. POLICE QUAR-TERLY. 2020;23(3):311-332. DOI: 10.1177/1098611119896653

22. Fedaravičius A, Pilkauskas K, Slizys E, Survila A. Research and development of training pistols for laser shooting simulation system. Defence Technology. 2019. DOI: 10.1016/j.dt.2019.06.018


Review

For citations:


Egorov S.F. Electronic Shooting Simulator Family "STrIzh": Development of Mock-Ups and Investigation of the Initial Level Simulator Error. Devices and Methods of Measurements. 2026;17(1):39-53. (In Russ.) https://doi.org/10.21122/2220-9506-2026-17-1-39-53

Views: 279

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-9506 (Print)
ISSN 2414-0473 (Online)