Confrontation image shooting training system and method
Through the anti-image shooting training system, using high-definition projectors, sensors and virtual reality technology, the existing shooting training problems are solved with high cost and low authenticity, automatic data recording and personalized training solutions are realized, and training effects are improved. and meaning.
Patent Information
- Application Number
- CN202411476037.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-22
- Publication Date
- 2024-12-27
AI Technical Summary
The existing shooting training methods are costly, the data records are cumbersome, and the shortcomings in training cannot be effectively analyzed and improved. They are single, low in reality, and insufficient training significance.
Adopting an adversarial image shooting training system including image projection unit, training unit, feedback unit and evaluation unit, through high-definition projector, display screen, obstacle module, scene generation module, sound simulation module, sensor, high-speed camera, induction clothing, shooting gun and laser transmitters, virtual reality and augmented reality technologies, automatically record shooting data, provide personalized feedback and training plans.
It reduces training costs, improves the authenticity and training significance of counter-shooting shooting, automatically records shooting data, selects training scenarios and modes according to needs, analyzes shooter performance, and formulates targeted training plans to enhance the training effect.
Smart Images

Figure CN119197187A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of shooting training, in particular to a confrontation image shooting training system, and relates to a confrontation image shooting training system and method. Background Art
[0002] Shooting training is an important process to improve firearms skills and combat capabilities, aiming to cultivate the shooter's accuracy, speed, reaction ability and tactical awareness.
[0003] The patent application with publication number CN108731540B discloses a follow-up confrontation shooting training system and method. The training system includes: a first trench, a second trench and a second target trench, the first trench and the second target trench are opposite to each other, the trench is used to cover the shooting confrontation personnel, and a target drone is arranged in the target trench, and the target drone is used to simulate the position and movement of the corresponding shooting confrontation personnel; multiple helmets, each helmet is provided with a beacon point; a beacon point identifier is arranged behind the confrontation training personnel, which identifies the beacon point on the helmet and obtains information on the position and exposure of the corresponding personnel; a controller is connected to the beacon point identifier and the target drone, and is used to receive the position information sent by the beacon point identifier and send it to the target drone. The follow-up confrontation shooting training system and method of the present invention can truly simulate a multi-person confrontation combat environment, avoid injuries to training personnel, and achieve better multi-person confrontation shooting training effects. Both one-way confrontation shooting training and two-way confrontation shooting training can be carried out.
[0004] The existing shooting training method is usually single-person shooting, which records the number of hits and accuracy of the shooting by controlling the movement of the target. However, recording data requires a lot of manpower and material resources, and the training cost is high. Confrontation shooting is usually a CS battle mode, the training venue is single, and it is impossible to analyze and improve the deficiencies found in the training, so the significance of the training is low.
[0005] In summary, the present invention provides a confrontation image shooting training system and method to solve the above problems. Summary of the invention
[0006] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a confrontation image shooting training system and method, which has the advantages of automatically recording the number of targets hit and accuracy when a single person is shooting, reducing training costs, being able to select training scenes according to usage requirements, improving the realism of the confrontation, analyzing and improving the deficiencies found in training, and improving the significance of training.
[0007] To achieve the above object, the present invention provides the following technical solutions:
[0008] A confrontation image shooting training system includes an image projection unit, a training unit, a feedback unit and an evaluation unit. The image projection unit is used to create and present training scenes. The training unit is used to provide shooters with equipment and environments for shooting training and supports different shooting modes. The feedback unit is used to provide real-time and comprehensive feedback information after the shooter completes the training. The evaluation unit is used to systematically analyze the overall performance of the shooter and generate personalized training plans and suggestions based on data.
[0009] By adopting the above technical solution, it is convenient to automatically record the number of targets hit and accuracy in shooting, reduce training costs, select training scenarios according to usage requirements, improve the realism of confrontation, and analyze and improve deficiencies found in training.
[0010] The present invention is further configured as follows: the image projection unit includes a projector module, a display module, an obstacle module, a scene generation module and a sound simulation module, and specifically includes the following steps:
[0011] Step S1, projector module: using a high-definition projector to project the training scene and target image into the training area with high quality;
[0012] Step S2, display module: using a display screen as a supplement to directly present the training scene;
[0013] Step S3, obstacle module: set obstacles with adjustable positions to create more realistic training scenarios, and quickly adjust the positions and shapes according to different scenarios;
[0014] Step S4, scenario generation module: generating a variety of training scenarios in real time, including different environments, terrains and weather conditions, and providing a variety of training options;
[0015] Step S5, sound simulation module: enhance the immersion of training through sound effects, simulate gunshots, environmental sounds and target reactions, and enhance the sense of reality.
[0016] By adopting the above technical solution, it is convenient to create and present training scenarios according to training needs.
[0017] The present invention is further configured as follows: the training unit includes a sensor, a high-speed camera, a sensing garment, a shooting gun and a laser transmitter, a scene simulation module, a shooting module and a confrontation module, and specifically includes the following steps:
[0018] Step V1, Sensor: Capture the shooter’s body movement and shooting data, monitor and record performance in real time;
[0019] Step V2, high-speed camera: records the shooter's movements and shooting process, providing playback and analysis possibilities;
[0020] Step V3, sensing clothing: clothing equipped with embedded sensors to collect the shooter's body posture, movement trajectory, physiological data and hit data in real time;
[0021] Step V4, shooting gun and laser transmitter: weapons used for shooting training, simulating actual combat conditions;
[0022] Step V5, scene simulation module: using virtual reality and augmented reality technologies to construct immersive scenes, provide multi-level visual experience, create diverse shooting scenes, and enhance the realism of training;
[0023] Step V6, shooting module: select shooting training mode, record and display the shooter's hit data, including hit position and hit accuracy;
[0024] Step V7, confrontation module: select confrontation mode, simulate confrontation environment, conduct competitive training with other shooters, and record process data and result data.
[0025] By adopting the above technical solution, it is convenient to provide shooters with shooting training equipment and environment according to different shooting modes.
[0026] The present invention is further configured as follows: the target shooting training modes in the target shooting module include static target shooting, dynamic target shooting and multi-distance target shooting; the static target shooting specifically includes target shooting training within a fixed distance, focusing on improving the hit rate and accuracy; the dynamic target shooting specifically includes adding moving targets or mobilizing targets to enhance the shooter's adaptability and reaction speed; the multi-distance target shooting specifically includes target shooting at different distances to train the shooter's long and short range shooting capabilities.
[0027] By adopting the above technical solution, it is convenient to select the target shooting mode according to training needs.
[0028] The present invention is further configured as follows: the confrontation modes in the confrontation module include human-machine confrontation and real-person confrontation. The human-machine confrontation specifically includes training the shooter's reaction speed and evasion ability by simulating laser gun shooting. The real-person confrontation specifically includes real multi-person confrontation shooting to comprehensively train the shooter's actual combat ability.
[0029] By adopting the above technical solution, it is convenient to select the confrontation mode according to training needs.
[0030] The present invention is further configured as follows: the feedback unit includes a feedback module and a data visualization module:
[0031] Step M1, feedback module: immediately feedback the shooter's hit situation, reaction time and aiming stability after shooting;
[0032] Step M2, data visualization module: visualize the training results through charts, animations, etc. to facilitate the shooter to understand and absorb the information.
[0033] By adopting the above technical solution, it is convenient to generate feedback reports and analyze the performance of shooters.
[0034] The present invention is further configured as follows: the evaluation unit includes a data analysis module, a performance evaluation module and a personalized training recommendation module, specifically including the following steps:
[0035] Step N1, data analysis module: applying machine learning and data analysis techniques to analyze the shooter's training data and identify trends and patterns;
[0036] Step N2, performance evaluation module: setting evaluation criteria, such as hit rate, response speed, and stability, and generating scores and evaluations based on these indicators;
[0037] Step N3, personalized training recommendation module: Based on the evaluation results, provide the shooter with customized training suggestions, including skills that need to be strengthened and the focus of the next training.
[0038] By adopting the above-mentioned technical solutions, it is convenient to formulate personalized training plans and conduct targeted training on weak links.
[0039] A method for adversarial image shooting training includes the following steps:
[0040] Step 1: According to the training requirements, different simulation environments are set through the image projection unit, including static targets, dynamic targets and weather conditions. According to the training mode, target shooting training and confrontation training are selected through the training unit.
[0041] The second step is that the shooter wears a sensing suit and shoots with a gun and a laser transmitter. The system records the data of each shot, including shooting posture, hit rate and reaction time.
[0042] Step 3: After shooting, a feedback report is generated through the feedback unit to analyze the shooter's performance, such as hit situation, reaction time and aiming stability;
[0043] Step 4: Based on the feedback results, develop a personalized training plan through the evaluation unit and conduct targeted training on weak links.
[0044] By adopting the above technical solution, adversarial image shooting training can be achieved.
[0045] In summary, the beneficial technical effects of the present invention are:
[0046] 1. This patent selects the environment, terrain and weather conditions through the scene generation module, and projects the training scene and target image to the training area with high quality through the high-definition projector. The training scene is presented through the display screen as a supplement. The sound simulation module simulates gunshots, environmental sounds and target reactions to enhance the sense of reality. The obstacle module sets obstacles with adjustable positions to create more realistic training scenes. The position and form are quickly adjusted according to different scenes, and the shooting data is automatically recorded to reduce training costs.
[0047] 2. This patent selects training modes according to the training unit, including static shooting, dynamic shooting, multi-distance shooting, man-machine confrontation and real-person confrontation. The shooter wears a sensing suit and shoots with a shooting gun and a laser transmitter. The data of each shooting is recorded, including shooting posture, hit rate and reaction time. A feedback report is generated through the feedback unit to analyze the shooter's performance, such as hit situation, reaction time and aiming stability. A personalized training plan is formulated through the evaluation unit, and targeted training is carried out for weak links to improve the significance of training.
[0048] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] The drawings described below are only some embodiments. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.
[0050] In the figure:
[0051] Figure 1 It is a schematic diagram of the system structure of the present invention;
[0052] Figure 2 is a schematic structural diagram of the image projection unit in the present invention;
[0053] Figure 3 It is a structural schematic diagram of the training unit in the present invention;
[0054] Figure 4 It is a schematic diagram of the flow of the feedback unit in the present invention;
[0055] Figure 5 It is a schematic diagram of the process of the evaluation unit in the present invention;. DETAILED DESCRIPTION
[0056] The present invention is further described in detail below in conjunction with the accompanying drawings.
[0057] Reference Figure 1-5, is a confrontation image shooting training system disclosed in the present invention, including an image projection unit, a training unit, a feedback unit and an evaluation unit, the image projection unit is used to create and present training scenes, the training unit is used to provide shooters with equipment and environment for shooting training, and supports different shooting modes, the feedback unit is used to provide real-time and comprehensive feedback information after the shooter completes the training, and the evaluation unit is used to systematically analyze the overall performance of the shooter and generate personalized training plans and suggestions based on data.
[0058] Reference Figure 1-2 In this embodiment, the image projection unit includes a projector module, a display module, an obstacle module, a scene generation module and a sound simulation module, and specifically includes the following steps:
[0059] Step S1, projector module: using a high-definition projector to project the training scene and target image into the training area with high quality;
[0060] Step S2, display module: using a display screen as a supplement to directly present the training scene;
[0061] Step S3, obstacle module: set obstacles with adjustable positions to create more realistic training scenarios, and quickly adjust the positions and shapes according to different scenarios;
[0062] Step S4, scenario generation module: generating a variety of training scenarios in real time, including different environments, terrains and weather conditions, and providing a variety of training options;
[0063] Step S5, sound simulation module: enhance the immersion of training through sound effects, simulate gunshots, environmental sounds and target reactions, and enhance the sense of reality.
[0064] Reference Figure 1 , Figure 3 In this embodiment, the training unit includes a sensor, a high-speed camera, a sensing garment, a shooting gun and a laser transmitter, a scene simulation module, a shooting module and a confrontation module, and specifically includes the following steps:
[0065] Step V1, Sensor: Capture the shooter’s body movement and shooting data, monitor and record performance in real time;
[0066] Step V2, high-speed camera: records the shooter's movements and shooting process, providing playback and analysis possibilities;
[0067] Step V3, sensing clothing: clothing equipped with embedded sensors to collect the shooter's body posture, movement trajectory, physiological data and hit data in real time;
[0068] Step V4, shooting gun and laser transmitter: weapons used for shooting training, simulating actual combat conditions;
[0069] Step V5, scene simulation module: using virtual reality and augmented reality technologies to construct immersive scenes, provide multi-level visual experience, create diverse shooting scenes, and enhance the realism of training;
[0070] Step V6, shooting module: select shooting training mode, record and display the shooter's hit data, including hit position and hit accuracy;
[0071] Step V7, confrontation module: select confrontation mode, simulate confrontation environment, conduct competitive training with other shooters, record process data and result data,
[0072] The shooting training modes in the shooting module include static shooting, dynamic shooting and multi-distance shooting. Static shooting includes shooting training within a fixed distance, focusing on improving the hit rate and accuracy. Dynamic shooting includes adding moving targets or mobilizing targets to enhance the shooter's adaptability and reaction speed. Multi-distance shooting includes shooting at different distances to train the shooter's long and short shooting ability.
[0073] The confrontation modes in the confrontation module include man-machine confrontation and real-person confrontation. Man-machine confrontation specifically includes simulating laser gun shooting to train the shooter's reaction speed and evasion ability. Real-person confrontation specifically includes real multi-person confrontation shooting to comprehensively train the shooter's actual combat ability.
[0074] Reference Figure 1 , Figure 4 In this embodiment, the feedback unit includes a feedback module and a data visualization module:
[0075] Step M1, feedback module: immediately feedback the shooter's hit situation, reaction time and aiming stability after shooting;
[0076] Step M2, data visualization module: visualize the training results through charts, animations, etc. to facilitate the shooter to understand and absorb the information.
[0077] Reference Figure 1 , Figure 5 In this embodiment, the evaluation unit includes a data analysis module, a performance evaluation module and a personalized training recommendation module, which specifically includes the following steps:
[0078] Step N1, data analysis module: applying machine learning and data analysis techniques to analyze the shooter's training data and identify trends and patterns;
[0079] Step N2, performance evaluation module: setting evaluation criteria, such as hit rate, response speed, and stability, and generating scores and evaluations based on these indicators;
[0080] Step N3, personalized training recommendation module: Based on the evaluation results, provide the shooter with customized training suggestions, including skills that need to be strengthened and the focus of the next training.
[0081] A method for adversarial image shooting training comprises the following steps:
[0082] Step 1: According to the training requirements, different simulation environments are set through the image projection unit, including static targets, dynamic targets and weather conditions. According to the training mode, target shooting training and confrontation training are selected through the training unit.
[0083] The second step is that the shooter wears a sensing suit and shoots with a gun and a laser transmitter. The system records the data of each shot, including shooting posture, hit rate and reaction time.
[0084] Step 3: After shooting, a feedback report is generated through the feedback unit to analyze the shooter's performance, such as hit situation, reaction time and aiming stability;
[0085] Step 4: Based on the feedback results, develop a personalized training plan through the evaluation unit and conduct targeted training on weak links.
[0086] In order for those skilled in the art to fully understand the technical solution, this application makes the following overall summary:
[0087] When in use, a training scene is selected according to training needs, and the environment, terrain and weather conditions are selected through the scene generation module. The training scene and target image are projected to the training area with high quality through a high-definition projector. The training scene is presented through a display screen as a supplement. The sound simulation module simulates gunshots, environmental sounds and target reactions to enhance the sense of reality. The obstacle module sets obstacles with adjustable positions to create more realistic training scenes. The position and form are quickly adjusted according to different scenes. The shooting data is automatically recorded to reduce training costs. The training mode is selected according to the training unit, including static shooting, dynamic shooting, multi-distance shooting, man-machine confrontation and real-person confrontation. The shooter wears a sensing suit and shoots with a shooting gun and a laser transmitter. The data of each shooting is recorded, including shooting posture, hit rate and reaction time. A feedback report is generated through the feedback unit to analyze the shooter's performance, such as hit situation, reaction time and aiming stability. A personalized training plan is formulated through the evaluation unit, and targeted training is carried out for weak links.
[0088] The embodiments of this specific implementation method are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, all equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A confrontation image shooting training system, characterized by: It includes an image projection unit, a training unit, a feedback unit and an evaluation unit. The image projection unit is used to create and present training scenes. The training unit is used to provide shooters with equipment and environment for shooting training and support different shooting modes. The feedback unit is used to provide real-time and comprehensive feedback information after the shooter completes the training. The evaluation unit is used to systematically analyze the overall performance of the shooter and generate personalized training plans and suggestions based on the data.
2. The confrontation image shooting training system according to claim 1, characterized in that: The image projection unit includes a projector module, a display module, an obstacle module, a scene generation module and a sound simulation module, and specifically includes the following steps: Step S1, projector module: using a high-definition projector to project the training scene and target image into the training area with high quality; Step S2, display module: using a display screen as a supplement to directly present the training scene; Step S3, obstacle module: set obstacles with adjustable positions to create more realistic training scenarios, and quickly adjust the positions and shapes according to different scenarios; Step S4, scenario generation module: generating a variety of training scenarios in real time, including different environments, terrains and weather conditions, and providing a variety of training options; Step S5, sound simulation module: enhance the immersion of training through sound effects, simulate gunshots, environmental sounds and target reactions, and enhance the sense of reality.
3. The confrontation image shooting training system according to claim 1, characterized in that: The training unit includes a sensor, a high-speed camera, a sensing suit, a shooting gun and a laser transmitter, a scene simulation module, a shooting module and a confrontation module, and specifically includes the following steps: Step V1, Sensor: Capture the shooter’s body movement and shooting data, monitor and record performance in real time; Step V2, high-speed camera: records the shooter's movements and shooting process, providing playback and analysis possibilities; Step V3, sensing clothing: clothing equipped with embedded sensors to collect the shooter's body posture, movement trajectory, physiological data and hit data in real time; Step V4, shooting gun and laser transmitter: weapons used for shooting training, simulating actual combat conditions; Step V5, scene simulation module: using virtual reality and augmented reality technologies to construct immersive scenes, provide multi-level visual experience, create diverse shooting scenes, and enhance the realism of training; Step V6, shooting module: select shooting training mode, record and display the shooter's hit data, including hit position and hit accuracy; Step V7, confrontation module: select confrontation mode, simulate confrontation environment, conduct competitive training with other shooters, and record process data and result data.
4. The confrontation image shooting training system according to claim 3, characterized in that: The shooting training modes in the shooting module include static shooting, dynamic shooting and multi-distance shooting. The static shooting specifically includes shooting training within a fixed distance, focusing on improving the hit rate and accuracy. The dynamic shooting specifically includes adding moving targets or mobilizing targets to enhance the shooter's adaptability and reaction speed. The multi-distance shooting specifically includes shooting at different distances to train the shooter's long and short range shooting capabilities.
5. The confrontation image shooting training system according to claim 3, characterized in that: The confrontation modes in the confrontation module include human-machine confrontation and real-person confrontation. The human-machine confrontation specifically includes training the shooter's reaction speed and evasion ability by simulating laser gun shooting, and the real-person confrontation specifically includes real multi-person confrontation shooting to comprehensively train the shooter's actual combat ability.
6. The confrontation image shooting training system according to claim 1, characterized in that: The feedback unit includes a feedback module and a data visualization module: Step M1, feedback module: immediately feedback the shooter's hit situation, reaction time and aiming stability after shooting; Step M2, data visualization module: visualize the training results through charts, animations, etc. to facilitate the shooter to understand and absorb the information.
7. The confrontation image shooting training system according to claim 1, characterized in that: The evaluation unit includes a data analysis module, a performance evaluation module and a personalized training recommendation module, and specifically includes the following steps: Step N1, data analysis module: applying machine learning and data analysis techniques to analyze the shooter's training data and identify trends and patterns; Step N2, performance evaluation module: setting evaluation criteria, such as hit rate, response speed, and stability, and generating scores and evaluations based on these indicators; Step N3, personalized training recommendation module: Based on the evaluation results, provide the shooter with customized training suggestions, including skills that need to be strengthened and the focus of the next training.
8. A method for training against image shooting, characterized in that: The training method is applied to the confrontation image shooting training system according to any one of claims 1 to 7, comprising the following steps: Step 1: According to the training requirements, different simulation environments are set through the image projection unit, including static targets, dynamic targets and weather conditions. According to the training mode, target shooting training and confrontation training are selected through the training unit. The second step is that the shooter wears a sensing suit and shoots with a gun and a laser transmitter. The system records the data of each shot, including shooting posture, hit rate and reaction time. Step 3: After shooting, a feedback report is generated through the feedback unit to analyze the shooter's performance, such as hit situation, reaction time and aiming stability; Step 4: Based on the feedback results, develop a personalized training plan through the evaluation unit and conduct targeted training on weak links.
Citation Information
Cited By
Intelligent shooting examination training system and method
CN120292944A
