Research On Detection And Positioning Technology Of Impact Point In Simulated Shooting Training

With the continuous deepening of the military's informatization process,new challenges have been raised to the basic military project of firing training.Although the traditional live ammunition meets the actual combat requirements,the economic cost is extremely high,and it is easy to be interfered by external factors such as weather and field.It is relatively difficult to implement and cannot meet the training needs in different situations.Compared with live ammunition firing,laser simulation firing training is not limited by the site and environmental conditions,saves ammunition resources,high training efficiency and good safety.Based on the above situation,this paper mainly studies the application of computer vision technology in the simulation shooting training system and set up the simulation shooting training system to conduct experiments.Firstly,the basic idea of the simulation shooting training system and the research status at home and abroad.The technologies involved in the laser simulation shooting training system based on the Raspberry Pi,including the Raspberry Pi development platform,computer vision technology,Unity3 D simulation engine and generating laser.The theoretical knowledge of the camera imaging model and the two-level calibration method involved in collecting the image information of the impact point is mainly discussed.During the experiment,a Raspberry Pi hardware development platform was built,a multimedia projection device was used to display the simulated training scene,and a semiconductor laser emitter was used instead of a live ammunition for simulated firing.The laser spot was detected and located by computer vision algorithm,and the coordinate data of the firing point was obtained.In the Unity 3D simulation engine,an immersive simulation shooting training platform is designed and implemented,forming a complete simulation training human-computer interaction process.Finally,the Django REST Framework development framework was used to design the back-end interface of the web management system,and to implement the data management and analysis function of simulated shooting training users.By setting up the above system to carry out simulation experiments,the results show that the simulated shooting training system designed in this paper has good real-time detection of laser bullet point detection on the Raspberry Pi platform and the Unity3 D simulation platform,and can meet the basic requirements for indoor shooting training.The facilities are convenient to install,low in cost and high in practical value.