CN109612326B - Intelligent auxiliary teaching system for small arms shooting based on Internet of things - Google Patents
Intelligent auxiliary teaching system for small arms shooting based on Internet of things Download PDFInfo
- Publication number
- CN109612326B CN109612326B CN201811556049.XA CN201811556049A CN109612326B CN 109612326 B CN109612326 B CN 109612326B CN 201811556049 A CN201811556049 A CN 201811556049A CN 109612326 B CN109612326 B CN 109612326B
- Authority
- CN
- China
- Prior art keywords
- shooting
- soldier
- user
- wifi camera
- wifi
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41A—FUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
- F41A33/00—Adaptations for training; Gun simulators
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41J—TARGETS; TARGET RANGES; BULLET CATCHERS
- F41J5/00—Target indicating systems; Target-hit or score detecting systems
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41J—TARGETS; TARGET RANGES; BULLET CATCHERS
- F41J5/00—Target indicating systems; Target-hit or score detecting systems
- F41J5/14—Apparatus for signalling hits or scores to the shooter, e.g. manually operated, or for communication between target and shooter; Apparatus for recording hits or scores
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/003—Simulators for teaching or training purposes for military purposes and tactics
Abstract
The utility model provides a light arms shooting intelligence auxiliary teaching system based on thing networking, including installing the stock support in gun top, the mouth of aiming of stock support is provided with the semi-transmission mirror that is 45 contained angles with the axis of aiming, the light C of target orientation mouth of aiming is behind the semi-transmission mirror, transmission light path A gets into user's eyes, be provided with wiFi camera one on the reflection light path B, stock support top has the telescope, the end of telescope is provided with wiFi camera two, wiFi camera one and wiFi camera two all connect the treater that has the display screen through the wiFi module. According to the invention, the situation that a teacher is not easy to observe during training of the soldier is uploaded to the terminal through the Internet of things technology, the teacher can see the aiming condition during training of the soldier through the image transmitted by the wireless camera, the heartbeat of the soldier is uploaded by the vibration sensor, and the heartbeat condition of the soldier during training of the soldier can be seen by the teacher, so that the teacher can quickly know the problems existing in training of the soldier, and therefore, the problems can be corrected in time, and the shooting level of the soldier can be quickly improved.
Description
Technical Field
The invention belongs to the technical field of teaching systems, relates to application of small arms shooting teaching, and particularly relates to an intelligent auxiliary teaching system for small arms shooting based on the Internet of things.
Background
The course of light weapon shooting is used as the necessary course of military basic class of professional technology education such as the soldier, and the teaching purpose is to make the student obtain the basic ability of skillfully using the light weapon, know the organization and implementation method of live ammunition shooting, develop the shooting technology and simultaneously shape the psychological quality of overcoming the psychological barrier, eliminating the interference factors and keeping the cool and quiet combat mission by using the light weapon. Therefore, the teaching, reformation and exploration research of the light weapon shooting course under the new situation is strengthened, and the teaching, reformation and exploration research method has important significance for promoting the innovative development of the course construction and improving the talent culture quality.
In recent years, in the light weapon shooting teaching training, because of the influence of factors such as safety, field, expense, equipment maintenance and the like, the problems of negative security, relatively weak teaching force, simplified training method, old training and examination mode and the like exist, so that the teaching is difficult to meet the actual combat requirement, and the teaching training effect is influenced.
Meanwhile, the group training mode is single, skill generation is not facilitated, the external action training is emphasized, the training of psychological quality is ignored, some instructors emphasize the problems in the aspects of stability, accuracy and consistency of shooting actions, and the psychological exercise of trainees is ignored. In addition, the course teaching of light weapon shooting has many unsafe factors and large dangerousness.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an intelligent teaching system for shooting of light weapons based on the internet of things, aiming at quickly improving the shooting accuracy of soldiers in training, the internet of things technology is utilized to upload the condition which is difficult to observe by a teacher during training of the soldiers to a terminal through the internet of things technology, the teacher can see the aiming condition during training of the soldiers through images transmitted by a wireless camera, the vibration sensor is utilized to upload heartbeats of the soldiers, and the teacher can see the heartbeat condition of the soldiers during training of the soldiers, so that the teacher can quickly know the problems existing in training of the soldiers, and therefore the teaching system can correct the problems in time and quickly improve the shooting level of the soldiers.
In order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides a supplementary teaching system of light arms shooting intelligence based on thing networking, a serial communication port, including installing the stock support in gun top, the mouth 1 of aiming of stock support is provided with and aims the semi-transmission mirror 2 that the axis is 45 contained angles, and the light C that the target was aimed mouth 1 is through semi-transmission mirror 2 backs, and transmission light path A gets into user's eyes, is provided with wiFi camera 3 on the reflection light path B, stock support top has telescope 6, the end of telescope 6 is provided with wiFi camera two 5, the treater that has the display screen is all connected through the wiFi module to wiFi camera 3 and wiFi camera two 5.
And a fixing bracket 4 for fixing the gun is arranged below the stock bracket.
The installation position of the semi-transmission mirror 2 is parallel to the sight 1 and the sight line of the gun.
The processor receives the images transmitted by the WiFi camera I3 and the WiFi camera II 5, then carries out preprocessing of denoising, Gaussian filtering and target segmentation on the images, then carries out edge extraction analysis on the segmented images, and finally utilizes a neural network technology to identify the positions of shooting bullets.
The trigger position of gun is provided with the sensor of patting that is used for gathering user's shooting state, be provided with the wrist sensor that is used for gathering its heartbeat data on user's the wrist, it all connects to patt sensor and wrist sensor the treater.
Compared with the prior art, the invention has the beneficial effects that:
(1) the target seen by the user is synchronously transmitted to the WiFi camera by adopting a light reflection technology, so that the target seen by the instructor is the same as that seen by the soldier, and the instructor can conveniently know and correct the aiming condition of the soldier.
(2) The wireless sensor is adopted to collect the heart beat tension state of the soldier and display the heart beat tension state for the instructor to see the heart beat condition of the soldier during training.
(3) The wifi camera behind the telescope can catch the target surface image after being observed and enlarged by the telescope. After the image is subjected to digital image processing, the target paper outline and the impact point information in the image are extracted, and automatic target reporting can be realized.
(4) All the collected data can be transmitted to remote equipment in a wireless mode, and a teacher can remotely check the targeting condition of the soldier.
Drawings
Fig. 1 is a schematic view (perspective view) of the gun stock cradle of the present invention.
Fig. 2 is a schematic view (side view) of the gun stock cradle of the present invention.
Fig. 3 is an optical path diagram of the sight of the present invention.
FIG. 4 is a schematic exploded view of the half-transmissive mirror according to the present invention.
FIG. 5 is a technical roadmap for the present invention.
FIG. 6 is a diagram of the logical architecture of the software system of the present invention.
FIG. 7 is the overall architecture of the software system of the present invention.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the drawings and examples.
The aiming key during shooting is called 'three-point one-line', namely aiming points, sight points and the centers of gaps on a scale are overlapped when aiming.
As shown in fig. 1 and 2, the intelligent teaching aid system for small arms shooting based on the internet of things comprises a stock support, and a fixing support 4 for fixing a gun is arranged below the stock support. The mouth 1 that aims of stock support is provided with and aims the semi-transmission mirror 2 that the axis is 45 contained angles, the light C that the target was aimed mouthful 1 is behind semi-transmission mirror 2, transmission light path A gets into user's eyes, be provided with wiFi camera 3 on the reflection light path B, stock support top is expected to distant mirror 6, the end of telescope 6 is provided with wiFi camera two 5, wiFi camera 3 and wiFi camera two 5 all have the treater of display screen through the connection of wiFi module.
Namely, the shooting position of the WiFi camera I3 is in relation with the sighting port 1, and the images of the same target are observed at different angles. The target is reflected to the two lenses through the semi-transmission mirror 2 with the angle of 45 degrees, and the WiFi camera I3 can be simultaneously aimed at the same target image with a shooter. Because the target is too far away, the telescope 6 can assist the second WiFi camera 5 to observe the target more clearly, and the second WiFi camera 5 is in parallel relation with the sighting port 1.
As shown in fig. 3, the semi-transmissive mirror 2 is installed on the same axis as the sighting port 1 and parallel to the sighting port 1 and the sight line of the gun, and serves to separate the target into two viewing ports.
As shown in figure 4, the half-transmission mirror 2 decomposes the light path, and the transmitted light gets into people's eye, and the light of reflection gets into wifi camera 3, and it is located aims mouthful 1, and 1 plane and side round hole plane of aiming at all become 45, makes wifi camera 3 shoot the scene the same completely with the scenery that people's eye observed under the circumstances that does not influence people's eye observation external environment.
According to the invention, the Wifi camera I3 is used for collecting the bulls-eye images seen by the soldier during training and synchronously displaying the bulls-eye images to the instructor, the instructor can prepare for knowing the aiming problem of the soldier, meanwhile, the trigger position of the gun is provided with the tapping sensor for collecting the shooting state of the user, the wrist of the user is provided with the wrist sensor for collecting the heartbeat data of the user, and the tapping sensor and the wrist sensor are both connected with the processor, so that the instructor can know the psychological state of the soldier in real time, and the shooting level can be rapidly improved by aiming at the situation.
The invention relates to a series of links such as CCD device selection, light path design, image acquisition and preprocessing, edge contour extraction to center line distance recognition, coordinate position calculation and the like, and is shown in figure 5.
The CCD devices are a WiFi camera I3 and a WiFi camera II 5. The selection principle is small and exquisite and the resolution is high. At present, the camera is a mature product, and only corresponding equipment needs to be selected according to needs.
Light passes through semi-transmission mirror 2 promptly in the light path design, makes light get into people's eye all the way, and another way light gets into wifi camera 3, has realized that the same scene can get into people's eye and camera simultaneously.
The image preprocessing comprises filtering, target segmentation and the like, after binarization, the edge extraction analysis is carried out on the segmented image, and finally the position of the shooting bullet is positioned by utilizing a neural network pattern recognition technology.
When shooter's manual tapping, the sensor of tapping can gather the shooting state fast, and this sensor only acquires whether shoot, and shooter taps the speed fast and slowly, and wrist sensor acquires shooter's heartbeat state. That is, the shooting state is gathered fast to manual tapping sensor, and the heartbeat is measured to the wrist sensor, and target point information is gathered simultaneously to two cameras, and all information at last is passed back to display screen (for example cell-phone) through the server.
By adding the sensor, whether the heartbeat frequency is accelerated (tense, stimulated by gunsound and the like) or not is observed in order to observe how the mental state of the soldier changes during shooting (during gunshot), and the problems (psychological factors or technical factors) existing in the shooting of the soldier are analyzed by combining the target hitting situation of the soldier (image information and the sensor are displayed on a display screen in real time and are convenient for an instructor to observe).
The overall logical architecture of the system is shown in fig. 6, and the whole system consists of an acquisition service layer, a data warehouse layer and a UI presentation layer. The acquisition service layer is responsible for acquiring data and storing the data into a corresponding database; the data warehouse layer is responsible for storing the collected data, the configuration information, some statistical analysis information and the like; the UI display layer is mainly responsible for reasonably displaying the monitored information and providing related contents such as reports, statistical analysis and intelligent decision making.
The collected data are divided into an image and a soldier psychological state, and the image is divided into an image from the WiFi camera I3 and an image from the WiFi camera II 5. Wherein the image from the WiFi camera one 3 can be directly presented on the display screen without processing, in order to let the instructor know whether the soldier's aiming visual angle is correct (where the soldier's aiming point is the target surface). The image from the WiFi camera II 5 is subjected to digital image processing, so that the processed image only displays target paper information and impact point information on the target paper (equivalent to the target shooting situation observed in a short distance), and a window for displaying the image has an automatic target reporting function.
The mental state of the soldier is divided into two parts of whether tapping and a heartbeat frequency change curve, and if tapping, a corresponding indication icon appears on a display screen. And the heart rate is a heart rate curve showing the change with time.
In order to realize the decoupling among a plurality of acquisition systems, a mechanism that a plurality of services work independently is adopted in an acquisition service layer, so that the abnormity of one acquisition service is ensured not to spread to the whole system. The design of the acquisition system mainly follows the following principles:
1) in principle one service per acquisition system;
2) the system which is used as an independent interface needs to be used as independently as possible;
3) absolutely certain systems using the same interface may use the same service;
4) no crossing between services is permitted;
5) the service only deals with the data warehouse layer, and the interface is not disclosed to the outside.
Due to the particularity of the shooting training industry, the characteristics of few shooting experience guidance resources, flexible shooting training use or shooting guidance, environmental abnormality, five-character four-multiple (complexity, mass property, heterogeneity, uncertainty and dynamics, multi-source, multi-precision, multi-time phase and multi-scale) of information and the like exist in the whole management process, so that a large-capacity data warehouse is established to ensure the following requirements:
1) the stability of the storage of the plurality of pieces of real-time data is ensured;
2) the analysis efficiency of large data volume such as statistical analysis is ensured;
3) reasonably classifying the collected data for subsequent statistics and analysis;
4) a relational database is taken as a main part, and a special customized database is supported;
5) the data backup and recovery functions are realized;
6) and the data security is ensured.
The UI display layer consists of three parts, wherein one part is a system administrator using a related configuration interface; some more time consuming algorithmic services etc. (this part may not have an interface, but logically belongs to this layer); the last important part is the interfaces of information display, statistical analysis results and the like faced by most customers. Besides some basic UI design principles, the UI interface also needs to satisfy the following principles according to the particularity of shooting training:
1) the interface of the acquisition system is as simple and intuitive as possible, and the key focus data is highlighted;
2) real-time display of monitoring interface information is guaranteed;
the whole architecture logically follows the basic principle of acquisition-storage-display, except for basic functional modules, the most basic three-layer logic architecture is still adopted at the upper layer of the data warehouse (if an external interface is needed, the external interface is disclosed through a cloud end), an acquisition service part is arranged below the data warehouse, and the most core part of the acquisition service part is an interface part with each monitoring system, as shown in fig. 7.
The invention provides a shooting training guidance automatic network remote control system used by an intelligent cloud Internet of things. The device integrates shooting aiming parameters, heartbeat package parameter acquisition and automatic equipment control into a whole. The system mainly adopts a stable embedded mode as a core of terminal remote control and an industrial wifi chip, and combines research and realizes various sub-stations such as a shooting observation station, a teacher observation station, a general teacher observation station and a headquarter observation station which are matched. Thus, the hardware structure of the whole shooting training automatic network monitoring system is formed.
The system is designed by adopting a B/S structure, the C/S structure has extremely strong customer experience effect, but has great limitation in the aspects of maintainability, expandability, cross-platform performance and the like, the B/S structure user interface is completely realized by a www browser, and the system has the advantage of zero deployment of a client, the development, the upgrade and the maintenance of the system are carried out at a server end, so that the maintenance cost of the system is greatly reduced, the consistency and the friendliness of the user interface are improved by asynchronous interaction technologies such as AJAX and the like, and the expandability and the remote access capability of the system are improved. The following principles are followed in designing the interface.
1. Intelligent and memory function of software
1) The user login interface preferably has user name and ID memory, and the focus is directly positioned to the password input box
2) The document entry interface preferably has the capability to save and load default values
3) The document searching interface can store various user-defined searching condition combinations
4) The user-adjusted GRID column width and window position can be automatically memorized
5) The system can automatically prioritize the related functions according to the use frequency of the user
6) The system can remember the use preferences of different users, the inherent mode of using the system and the common self-defined settings
2. Reducing unnecessary repetitive interactions
1) Unnecessary various operations are reduced, and the operations can be finished by clicking a mouse once or knocking a keyboard once and can not be finished twice or more times.
2) The prompt information is moderate, too much is not good, and too little is not good.
3. Navigation and interface hopping
1) The form newly pops up a dialog box, and the dialog box pops up again with such a level of secondary control within 3.
2) All the non-mode active windows preferably have a docking mode similar to that of a desktop taskbar, so that the windows can be conveniently switched
3) The system can support the user to define common functions and menus
4) Shortcut key and toolbar button convenient to use for common functions
5) Various services and form functions provided in the system can enable a user to conveniently and quickly pick help information
6) Attention needs to be paid to automatic refreshing of relevant interface data when forms and interfaces are linked and interacted
7) GRID control not requiring more than three GRID controls to be present in a window at most
8) The B/S mode does not require a left-right scroll. C/S mode avoids scrolling left and right and up and down
9) An appropriate interface control needs to be selected according to business viewing requirements and data display requirements
4. In terms of system performance and robustness
1) The related time-consuming operations in the system must change the mouse into a waiting state
2) The system preferably takes more than 30 seconds to operate and can provide the user with related progress bar functions
3) The system time-consuming function of more than 2 minutes can be processed in an asynchronous multithreading mode
4) The system applies friendly prompt information with integrity and constraint verification, and is convenient for users to modify the input data
5) Friendly and uniform prompt information should be provided when the system is abnormal, and the background should record detailed abnormal logs
5. In terms of interface friendliness and ease of use
1) The form should be able to adapt automatically according to the screen resolution. Make the user see enough information at one time on the interface
2) The form should support the shortcut functions in the order from left to right and top to bottom.
3) A common form should support both keyboard and mouse operations.
4) The layout of the controls on the interface should be in proper space, the labels and the controls are aligned, and proper input prompt information is provided.
5) The color matching of the interface should be as simple as possible, with as few as possible of the various dazzling colors
6) The user should basically clear the related functions after seeing the form, and the form should be self-explained as much as possible without designing too many functions hidden in the interface
6. Entry and retrieval of data
1) Selecting proper data entry control according to business needs
2) The data entry control part has complete data integrity and consistency check functions
3) The system should provide the function of the user to temporarily save the entered data
4) Can automatically acquire data without inputting by a user, and can select to input data without inputting by the user manually
5) The data retrieval conditions should be moderate, not too much, and not too little. The retrieval supports combined condition retrieval.
6) In order to meet different requirements, the search can provide a plurality of modes of simple search and advanced search.
7) The user should be provided with the search data at the first time, so paging is considered when there is a performance problem with the search function.
8) The related progress bar display progress should be provided for the user when the retrieval function is time-consuming
9) The table preferably provides a plurality of display modes, such as row display and column display, for viewing data by a user.
Claims (4)
1. The utility model provides a light arms shooting intelligence auxiliary teaching system based on thing networking, includes the stock support of installing in the gun top, the sight (1) of stock support is provided with and is 45 semi-transmission mirror (2) of contained angle with the sighting axis, and the light C of target orientation sight (1) passes through semi-transmission mirror (2) back, and transmission light path A gets into user's eyes, is provided with wiFi camera (3) on the reflection light path B, promptly, the shooting position of wiFi camera (3) is the different observation angle of image of same target with the relation of sight (1), expected distant mirror (6) above the stock support, the end of telescope (6) is provided with wiFi camera two (5), wiFi camera one (3) and wiFi camera two (5) all connect the treater that has the display screen through the wiFi module, its characterized in that, the trigger position of gun is provided with the sensor of patting that is used for gathering user's shooting state, the wrist of the user is provided with a wrist sensor used for collecting heartbeat data of the user, the tapping sensor and the wrist sensor are connected with the processor to acquire the psychological state of the user in real time, the processor receives images transmitted by the WiFi camera I (3) and the WiFi camera II (5), then carries out pre-processing of denoising, Gaussian filtering and target segmentation on the images, then carries out edge extraction analysis on the segmented images, and finally utilizes a neural network technology to identify the bullet positions, wherein the image information and the sensor information are displayed on a display screen in real time, the psychological state of the user is divided into two parts, namely whether tapping is carried out or not and a heartbeat frequency change curve, if tapping is carried out, a corresponding index icon appears on the display screen, and the heartbeat frequency is a heartbeat curve which changes along with time.
2. The intelligent teaching aid system for small arms shooting based on the internet of things as claimed in claim 1, wherein a fixing support (4) for fixing a gun is arranged below the stock support.
3. The intelligent teaching aid system for firearms shooting based on the internet of things as claimed in claim 1, wherein the semi-transmission mirror (2) is installed in a position parallel to the sight (1) and the sight line of the gun.
4. The intelligent teaching system for assisting in shooting of small arms based on the internet of things as claimed in claim 1, wherein the logical architecture of the system is composed of three parts, namely an acquisition service layer, a data warehouse layer and a UI presentation layer, wherein the acquisition service layer is responsible for acquiring data and storing the data into a corresponding database; the data warehouse layer is responsible for storing the collected data, the configuration information and some statistical analysis information; the UI display layer is mainly responsible for reasonably displaying the monitored information and providing related report forms, statistical analysis and intelligent decision content.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811556049.XA CN109612326B (en) | 2018-12-19 | 2018-12-19 | Intelligent auxiliary teaching system for small arms shooting based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811556049.XA CN109612326B (en) | 2018-12-19 | 2018-12-19 | Intelligent auxiliary teaching system for small arms shooting based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109612326A CN109612326A (en) | 2019-04-12 |
| CN109612326B true CN109612326B (en) | 2021-08-24 |
Family
ID=66010479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811556049.XA Active CN109612326B (en) | 2018-12-19 | 2018-12-19 | Intelligent auxiliary teaching system for small arms shooting based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109612326B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101598520A (en) * | 2009-07-08 | 2009-12-09 | 山西大学 | A kind of shooting auxiliary training system reaches based on framing target center method |
| CN102003918A (en) * | 2010-09-21 | 2011-04-06 | 中山市火炬开发区神剑警用器材厂 | Wireless video gun calibration training instrument |
| CN202024679U (en) * | 2011-04-28 | 2011-11-02 | 于雷 | Sighting telescope image transmission system for armored vehicle |
| CN202092513U (en) * | 2011-06-08 | 2011-12-28 | 江苏翔宇科技有限公司 | Checker for shooting training of individual anti-tank rocket |
| CN205482592U (en) * | 2016-01-30 | 2016-08-17 | 福建泉城特种装备科技有限公司 | 03 formula automatic rifle aims inspection mirror |
| CN108507411A (en) * | 2018-03-27 | 2018-09-07 | 西安中科飞图光电科技有限公司 | A kind of digital image-forming rifle for firearms takes aim at system and its teaching, actual combat method |
| CN108895891A (en) * | 2018-07-13 | 2018-11-27 | 深圳市比威特视频科技有限公司 | A kind of shooting track reproducing system and method |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104834922B (en) * | 2015-05-27 | 2017-11-21 | 电子科技大学 | Gesture identification method based on hybrid neural networks |
| CN105719259B (en) * | 2016-02-19 | 2018-11-13 | 上海理工大学 | Pavement crack image detecting method |
| CN106871729B (en) * | 2017-03-10 | 2018-07-03 | 石鸿鹏 | High-accuracy shooting digital readout system |
| CN107169974A (en) * | 2017-05-26 | 2017-09-15 | 中国科学技术大学 | It is a kind of based on the image partition method for supervising full convolutional neural networks more |
-
2018
- 2018-12-19 CN CN201811556049.XA patent/CN109612326B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101598520A (en) * | 2009-07-08 | 2009-12-09 | 山西大学 | A kind of shooting auxiliary training system reaches based on framing target center method |
| CN102003918A (en) * | 2010-09-21 | 2011-04-06 | 中山市火炬开发区神剑警用器材厂 | Wireless video gun calibration training instrument |
| CN202024679U (en) * | 2011-04-28 | 2011-11-02 | 于雷 | Sighting telescope image transmission system for armored vehicle |
| CN202092513U (en) * | 2011-06-08 | 2011-12-28 | 江苏翔宇科技有限公司 | Checker for shooting training of individual anti-tank rocket |
| CN205482592U (en) * | 2016-01-30 | 2016-08-17 | 福建泉城特种装备科技有限公司 | 03 formula automatic rifle aims inspection mirror |
| CN108507411A (en) * | 2018-03-27 | 2018-09-07 | 西安中科飞图光电科技有限公司 | A kind of digital image-forming rifle for firearms takes aim at system and its teaching, actual combat method |
| CN108895891A (en) * | 2018-07-13 | 2018-11-27 | 深圳市比威特视频科技有限公司 | A kind of shooting track reproducing system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109612326A (en) | 2019-04-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105812777B (en) | Binocular AR wears display device and its method for information display | |
| US11297164B2 (en) | Device and content agnostic, interactive, collaborative, synchronized mixed reality system and method | |
| US9829286B2 (en) | System, method, and device for electronically displaying one shot at a time from multiple target shots using one physical target | |
| US20120258432A1 (en) | Target Shooting System | |
| CN106662917A (en) | Systems and methods of eye tracking calibration | |
| CN105917292A (en) | Eye gaze detection with multiple light sources and sensors | |
| CN109654945A (en) | With trajectory expressive ability and injure multifarious confrontation fire analogue technique | |
| CN105953654A (en) | High integration electronic sighting device and adjustment and calibration method capable of accurate partition | |
| US20220326596A1 (en) | Imaging system for firearm | |
| CN209230407U (en) | Shoot training of light weapons auxiliary system | |
| CN111488992A (en) | Simulator adversary reinforcing device based on artificial intelligence | |
| CN109920503A (en) | A kind of physical examination information processing method and device | |
| CN113419623A (en) | Non-calibration eye movement interaction method and device | |
| CN109612326B (en) | Intelligent auxiliary teaching system for small arms shooting based on Internet of things | |
| US11436439B2 (en) | System and method for generating label candidates related to recognition target for selection and learning | |
| CN107951464A (en) | A kind of vision inspection system and method | |
| CN106843503A (en) | A kind of display device and its control method | |
| CN104966310A (en) | Evaluation method for pattern painting camouflage effect | |
| CN111581105A (en) | Test evaluation system based on data | |
| CN106780613A (en) | The method for visualizing and its system of multi-cam calibration result | |
| CN107798312B (en) | Automatic attendance checking method based on visual head detection | |
| EP3538913A1 (en) | System for recognising the position and orientation of an object in a training range | |
| Sennersten et al. | Verification of an experimental platform integrating a Tobii eytracking system with the Hifi game engine | |
| Kushnier et al. | Situation Assessment Through Collaborative Human‐Computer Interaction | |
| CN103500253B (en) | Aircraft gun empty target shooting parameter intelligent distinguishing method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |