AR military camouflage and reconnaissance system

Abstract

The invention relates to the technical field of military reconnaissance, in particular to an AR (Augmented Reality) military camouflage and reconnaissance system, which realizes dynamic adaptive adjustment of soldier camouflage by integrating an advanced AR (Augmented Reality) technology, an environment perception technology and an artificial intelligence target recognition algorithm, remarkably improves the concealment and practicability of a camouflage effect, and has the advantages that compared with a traditional static camouflage suit, the camouflage effect is greatly improved; the system can automatically change the color and texture of clothes and equipment according to the real-time change of the battlefield environment, effectively fuses the surrounding environment, reduces the probability of being found by enemy vision and infrared detection equipment, provides a dynamic camouflage effect and reconnaissance assistance for soldiers by using the AR technology, and improves the security of the soldiers. The AR device worn by the soldier can change the color and texture of the soldier clothing in real time according to the surrounding environment, self-adaptive camouflage is achieved, and meanwhile the device can mark hidden enemy targets and traps in the view field.

Description

Technical Field

[0001] The present invention relates to the field of military reconnaissance technology, and in particular to an AR military camouflage and reconnaissance system. Background Art

[0002] With the continuous development of modern warfare, the application of information and intelligent technologies in the military field is becoming increasingly widespread, especially in the areas of camouflage and reconnaissance capabilities. Traditional military camouflage relies primarily on static camouflage clothing and hand-painted patterns, which cannot be dynamically adjusted to the complex and changing battlefield environment. This limits camouflage effectiveness and makes it easily detectable by enemy reconnaissance equipment. Furthermore, traditional reconnaissance methods often rely on single-source visual, acoustic, or electronic signal detection, lacking multi-dimensional, real-time integrated intelligence analysis, making them unable to meet the high demands of concealment and real-time performance in modern warfare. With the development of augmented reality (AR) technology, the use of AR devices to achieve dynamic camouflage and intelligent reconnaissance has become a key approach to enhancing soldiers' combat capabilities. AR technology can overlay virtual information in the soldier's field of view, while simultaneously enabling real-time analysis and feedback of the battlefield environment through environmental perception, providing soldiers with more intelligent and flexible camouflage and reconnaissance support.

[0003] Currently, there are some military application studies based on AR technology, but most of them remain at the stage of auxiliary training or information display, lacking true environmental adaptive camouflage and intelligent target recognition functions. In existing technologies, camouflage systems are usually unable to automatically adjust the camouflage effect based on multi-dimensional information such as ambient light, color, and texture, and the reconnaissance system has limited ability to identify hidden targets and traps, making it difficult to meet the combat needs under complex terrain and changing climate conditions. At the same time, the needs for real-time information sharing and multi-service coordinated operations are also urgently needed. How to integrate environmental perception, dynamic camouflage, intelligent recognition, and information interaction to form a complete AR military camouflage and reconnaissance system is a key problem in the current technological development. Based on this, the development of an AR military camouflage and reconnaissance system with high adaptability, high intelligence, and good interactive experience has important military application value and broad promotion prospects.

[0004] In view of the above situation, in order to overcome the above technical problems, the present invention designs an AR military camouflage and reconnaissance system to solve the above technical problems. Summary of the Invention

[0005] The technical objective of this invention is to utilize AR technology to provide soldiers with dynamic camouflage and reconnaissance assistance. The AR device worn by soldiers can adapt the color and texture of their clothing to the surrounding environment in real time, achieving adaptive camouflage. Furthermore, the device can also highlight hidden enemy targets and traps within their field of view.

[0006] In order to achieve the above technical objectives, the present invention provides the following technical solutions: An AR military camouflage and reconnaissance system, comprising: a wearable augmented reality (AR) device, an environment perception module, a camouflage generation module, a target recognition module, and a display control module; The wearable AR device is used to be installed on a soldier's helmet or goggles, and can capture images of the surrounding environment in real time and analyze the color, light intensity and texture information of the current battlefield environment through the environmental perception module. The camouflage generation module dynamically adjusts the color and texture of the soldier's clothing or equipment based on the analysis results of the environmental perception module, so that the soldier is visually highly integrated with the surrounding environment, achieving adaptive camouflage. The target recognition module uses machine vision and artificial intelligence algorithms to identify enemy targets, traps or threats hidden in the environment, and transmits the identification information to the display control module. The display control module marks the identified enemy targets and traps in the soldier's field of view in real time through the display interface of the AR device, assisting the soldier in reconnaissance and tactical decision-making. The system also includes a communication module to realize target information sharing and coordinated combat among multiple soldiers. Among them, the camouflage generation module can automatically switch and optimize the camouflage mode according to different environmental changes (such as forests, deserts, cities, etc.), and adjust the brightness and contrast of the camouflage effect in combination with real-time lighting changes, thereby improving the concealment and effectiveness of the camouflage.

[0007] Preferably, the environmental perception module includes a multispectral camera, an ambient light sensor, and a temperature and humidity sensor, which can simultaneously collect visible light, infrared spectrum, and ambient light intensity information, and analyze the multi-dimensional physical parameters of the battlefield environment in combination with temperature and humidity data, thereby improving the environmental matching degree of camouflage generation and the accuracy of target recognition; the environmental perception module adopts a real-time high-speed data processing unit to realize rapid analysis and feedback of the collected information, ensuring efficient response of camouflage and reconnaissance functions.

[0008] Preferably, the camouflage generation module integrates an image synthesis algorithm based on deep learning, and automatically generates dynamic textures and color schemes adapted to the current environment according to real-time environmental data through a trained neural network model, supporting rapid switching and fusion of multiple camouflage patterns; the module also supports dynamic adjustment of the brightness, contrast and transparency of the camouflage according to changes in ambient lighting to enhance the realism and concealment of the camouflage effect, while reducing the probability of being detected by enemy infrared or night vision equipment.

[0009] Preferably, the target recognition module adopts a multi-layer convolutional neural network combined with a target detection algorithm, has the ability to identify hidden targets, dynamic objects and camouflaged enemies, and is equipped with a target tracking algorithm, which can achieve continuous tracking and dynamic updates in a multi-target environment; the target recognition module also combines lidar or depth sensor data to enhance the perception of the target's spatial position and motion state, and improve recognition accuracy and response speed.

[0010] Preferably, the display control module is equipped with a high-resolution transparent display screen and a positioning tracking system, which can accurately superimpose three-dimensional spatial markers in the soldier's field of view, including enemy target locations, trap warnings and friendly coordinates. The display interface supports multiple information display modes, such as heat maps, border markers and semantic labels; the display control module also supports custom interface adjustment and multi-mode switching to meet different tactical needs and ensure the clarity and real-time nature of information presentation.

[0011] Preferably, the system adopts a low-power, high-performance processor and a dedicated acceleration chip, combined with an efficient heat dissipation design and a shock-resistant and dust-proof structure to achieve long-term continuous combat operation; the system battery has fast charging and thermal management functions to meet the stable power supply needs under extreme climatic conditions; the overall structure of the equipment is light and compact, ensuring the comfort and flexibility of soldiers wearing it, while meeting military standards for durability and drop resistance.

[0012] Preferably, the communication module supports multi-band encrypted wireless communication protocols, has anti-interference and anti-eavesdropping functions, and can realize real-time tactical data transmission and collaborative situational awareness among multi-node soldiers; the communication module has a built-in intelligent routing algorithm, which automatically adjusts the signal frequency and power according to the battlefield environment, ensuring the stability and low latency of data transmission, and safeguarding combat information security and command efficiency.

[0013] Preferably, the system further includes an environmental sound collection and analysis module, which collects battlefield environmental sound signals through an array microphone, and uses sound source positioning and voiceprint recognition technology to analyze the direction, distance and type of enemy activities, thereby achieving early warning and positioning assistance for enemy covert actions; the sound analysis results are combined with visual target recognition data to enhance the overall reconnaissance capability and the accuracy of battlefield situation awareness.

[0014] Preferably, the AR device has a highly protective design, uses multi-layer waterproof and dustproof materials, achieves a protection level of IP67 or above, and has a vibration-resistant and impact-resistant structural design, and can work stably in complex, changeable and harsh military combat environments; the device casing uses a low-reflective coating to reduce optical reflections, reduce the possibility of being observed by the enemy, and support quick disassembly and maintenance.

[0015] Preferably, the system supports an operation mode based on gesture recognition and voice control, so that soldiers can switch camouflage modes, confirm target marks, and query information through simple gestures or preset voice commands, thereby improving the convenience and concealment of operations and avoiding distraction or exposure of positions during combat; this interaction mode ensures response speed and security through local processing.

[0016] The beneficial effects of the present invention are as follows: (1) This invention integrates advanced augmented reality (AR) technology, environmental perception technology, and artificial intelligence target recognition algorithms to achieve dynamic adaptive adjustment of soldier camouflage, significantly improving the concealment and practicality of the camouflage effect. Compared with traditional static camouflage clothing, this system can automatically change the color and texture of clothing and equipment according to real-time changes in the battlefield environment, effectively integrating with the surrounding environment, reducing the probability of being detected by enemy visual and infrared detection equipment, and thus enhancing the survivability of soldiers. In addition, through real-time environmental data analysis, this system automatically optimizes camouflage strategies for different terrain, lighting, and climate conditions, ensuring that the camouflage effect can reach the optimal state in various complex environments, greatly improving battlefield adaptability and combat efficiency.

[0017] (2) The present invention is also equipped with intelligent target recognition and real-time labeling functions, which can automatically detect and mark hidden enemy targets, traps and threats, thereby improving the accuracy and response speed of reconnaissance. By superimposing multi-dimensional target information in the soldier's field of view, the system greatly enhances the soldier's situational awareness and tactical decision-making level, reducing the risk of misjudgment and missed judgment. The encrypted communication and data sharing functions between multiple arms realize the information linkage of coordinated operations, improving the efficiency and coordination of overall combat command. In summary, the present invention not only improves the soldiers' concealment and reconnaissance capabilities, but also enhances the instant sharing of battlefield information and the ability to coordinate operations, and has significant military application value and broad promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] The above and other aspects of the present invention will now be described, by way of example only, with reference to the accompanying drawings, in which: Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0020] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0021] like Figure 1As shown in the figure, the AR military camouflage and reconnaissance system integrates multiple advanced technologies to provide soldiers with intelligent and dynamic camouflage and reconnaissance support. The system mainly includes a wearable augmented reality (AR) device, an environmental perception module, a camouflage generation module, a target recognition module, and a display control module. The wearable AR device is designed to be mounted on a soldier's helmet or goggles and has high-performance real-time image acquisition capabilities, capable of comprehensively capturing environmental information around the soldier. As the core component of the system, the environmental perception module is responsible for multi-dimensional analysis of the collected environmental images, specifically including multiple parameters such as the color, light intensity, and texture characteristics of the battlefield environment. By accurately acquiring this environmental information, the system can deeply understand the current natural and artificial environment, providing a scientific basis for subsequent camouflage strategies.

[0022] Based on the analysis results provided by the Environmental Perception Module, the Camouflage Generation Module employs advanced dynamic adjustment technology to adjust the color, texture, and brightness of soldiers' clothing and equipment in real time, achieving a high degree of visual integration with the surrounding environment. This module not only supports basic color matching but also automatically switches camouflage modes based on complex environmental changes, such as the hue of forest leaves, the khaki tones of deserts, and the diverse textures of urban environments, ensuring that soldiers maintain optimal concealment in various battlefield environments. More importantly, the module dynamically adjusts the brightness and contrast of the camouflage effect based on real-time changes in ambient lighting, enhancing the naturalness and deceptiveness of the camouflage, thereby effectively reducing the probability of detection by enemy visual and electronic detection.

[0023] The target recognition module is the intelligent reconnaissance core of the system. Through machine vision technology and artificial intelligence algorithms, the module can identify hidden enemy targets, traps and other potential threats in complex environments. Its algorithm combines deep learning models and traditional image processing methods, and can achieve high-accuracy target detection and classification in changeable and complex terrains, and supports dynamic tracking of targets. The identified information is transmitted to the display control module in real time, which is responsible for superimposing key target information on the soldier's field of view through the display interface of the AR device. Through diversified display methods such as three-dimensional spatial marking, border highlighting, and semantic labeling, the system can intuitively present enemy targets and battlefield threats, greatly assisting soldiers in reconnaissance and tactical decision-making, and improving combat efficiency and safety.

[0024] In addition, the system is equipped with a communication module that enables encrypted wireless communication and real-time sharing of target information between multiple soldiers. This communication function supports multi-node collaborative operations, allowing team members to share battlefield intelligence in a timely manner, coordinate tactical strategies, and enhance overall combat effectiveness. Overall, this AR military camouflage and reconnaissance system integrates environmental perception, dynamic camouflage, intelligent identification, and real-time information display through the collaborative operation of multiple modules, forming a highly intelligent and environmentally adaptable integrated solution. It provides soldiers in modern warfare with comprehensive concealment and reconnaissance support, significantly improving their survivability and combat effectiveness.

[0025] The environmental perception module is a key component of the system. It integrates a multispectral camera, an ambient light sensor, and a temperature and humidity sensor, and has the ability to collect multi-dimensional environmental information. The multispectral camera can simultaneously capture image data within the visible light and infrared spectrum ranges, which not only enriches the information level of environmental perception, but also enables the system to identify targets and environmental features that are difficult to detect under ordinary vision. The ambient light sensor is responsible for measuring the surrounding light intensity and reflecting the changes in light in the battlefield environment in real time, ensuring that the camouflage generation module can adjust the brightness and contrast of clothing and equipment according to the light intensity, thereby achieving a more natural and effective camouflage effect. The temperature and humidity sensor monitors the temperature and humidity of the environment and provides key meteorological data. These data, combined with spectral and light information, help to more comprehensively analyze the physical state of the battlefield environment and improve the scientificity and practicality of the camouflage strategy.

[0026] Furthermore, the environmental perception module is equipped with a high-performance, real-time, high-speed data processing unit capable of rapidly processing and comprehensively analyzing large amounts of collected multi-source environmental information. This processing unit not only ensures real-time data but also rapidly feeds analysis results back to the camouflage generation module and target recognition module, ensuring that the entire system can respond to environmental changes with minimal latency, maintaining the continuous and efficient operation of camouflage and reconnaissance functions. Through precise and rapid environmental perception, this module significantly enhances the system's intelligence and adaptability, enabling soldiers to obtain more effective camouflage protection and more accurate target reconnaissance support in complex and changing battlefield environments.

[0027] The camouflage generation module, one of the system's core functional units, integrates advanced deep learning-based image synthesis algorithms and utilizes a well-trained neural network model to intelligently analyze and process environmental data. Based on battlefield environmental information collected in real time by the environmental perception module, this module automatically generates dynamic texture and color schemes that closely match the current environment, enabling real-time updating and optimization of the camouflage effect. Leveraging the adaptive capabilities of the deep learning model, the camouflage generation module not only supports rapid switching between multiple camouflage patterns but also intelligently integrates different camouflage elements to adapt to complex and changing terrain, lighting, and climatic conditions, ensuring both diversity and naturalness of the camouflage.

[0028] Furthermore, the module features dynamic adjustment capabilities for ambient lighting changes, automatically adjusting the camouflage's brightness, contrast, and transparency to enhance the realism and naturalness of the effect. These dynamic adjustments allow soldiers' camouflage to visually blend more seamlessly with their surroundings, significantly enhancing their concealment and effectively reducing the risk of detection by enemy visual reconnaissance equipment, infrared detectors, night vision goggles, and other electronic devices. The camouflage generation module's intelligent algorithm also rapidly responds to sudden changes in ambient lighting and complex shadow variations, ensuring the continuity and stability of the camouflage effect, thereby providing soldiers with more reliable and efficient battlefield concealment. These technical features significantly enhance the system's camouflage capabilities beyond those of traditional static camouflage, effectively improving soldiers' survivability and battlefield adaptability.

[0029] The target recognition module utilizes a technical architecture that combines a multi-layer convolutional neural network (CNN) with advanced target detection algorithms. This powerful module possesses robust covert target recognition capabilities, effectively detecting enemy targets hidden in complex environments, dynamically moving objects, and camouflaged enemies. Through deep learning model training, the module learns the characteristics of various targets from a large amount of diverse battlefield image data, significantly improving the sensitivity and accuracy of identifying camouflaged targets. Furthermore, the target recognition module integrates a target tracking algorithm, enabling continuous tracking and dynamic updating of enemy targets in multi-target environments. Regardless of whether the target is stationary or moving at high speed, the module can adjust its tracking strategy in real time, ensuring the continuity and real-time nature of recognition information, significantly enhancing battlefield situational awareness.

[0030] To further enhance its spatial positioning capabilities, the target recognition module also incorporates data collected by LiDAR or depth sensors. The three-dimensional spatial information provided by these sensors enables the system to more accurately perceive the target's specific position and motion. By fusing image data with depth information, the module not only improves target recognition accuracy but also accelerates response time, effectively avoiding the misjudgments and missed detections that can occur with traditional single-source visual recognition. By integrating multi-source sensor data and intelligent algorithms, the target recognition module provides soldiers with efficient, accurate, and real-time reconnaissance support, helping to enhance the scientific nature of battlefield decision-making and operational safety.

[0031] The display control module is equipped with a high-resolution transparent display and an advanced positioning tracking system, which can accurately superimpose multi-dimensional battlefield information on the soldier's field of view to achieve an immersive augmented reality experience. Through this module, the system can accurately mark the location of enemy targets, potential trap warnings, and the real-time coordinates of friendly forces in three-dimensional space, providing soldiers with all-round battlefield situation awareness support. The display interface is richly designed and supports multiple information display modes, including heat maps showing enemy activity hotspots, border markers highlighting target outlines, and semantic labels providing detailed target attribute descriptions. These diverse display methods not only help soldiers quickly identify and understand key information, but also flexibly adjust display content according to tactical needs to improve combat efficiency.

[0032] In addition, the display control module supports custom interface layouts and multi-mode switching functions, allowing soldiers to flexibly select the most suitable display scheme based on specific tasks and tactical environments. For example, in reconnaissance missions, priority can be given to displaying hidden enemy targets and trap warnings, while in offensive operations, the focus is on friendly force positions and target lock information. The module ensures high real-time information, ensuring that battlefield changes can be immediately fed back to the soldier's field of view, avoiding tactical errors caused by information delays. At the same time, the display control module uses optimized visual presentation technology to ensure that information is still clearly visible even under complex lighting and environmental conditions, without affecting the soldier's normal vision and actions. Overall, this module has greatly improved the soldiers' battlefield perception capabilities and command decision-making efficiency.

[0033] The system utilizes a low-power, high-performance processor, combined with a dedicated accelerator chip, to effectively improve computing efficiency while minimizing energy consumption, thereby ensuring stable operation during extended combat operations. To cope with complex and demanding battlefield environments, the system incorporates an efficient heat dissipation solution that quickly dissipates generated heat, preventing overheating and resulting in performance degradation or failure. Furthermore, the device's housing features a shock-resistant and dust-proof structure, offering excellent mechanical strength and sealing properties to withstand battlefield vibration, shock, and dust intrusion, ensuring the safety of electronic components and system reliability.

[0034] The system is equipped with an advanced battery management module that supports fast-charging technology, shortening charging time and improving endurance between combat missions. The battery also features thermal management, automatically adjusting its discharge and charge states based on ambient temperature. This ensures stable power supply even in extreme weather conditions (such as high and low temperatures), preventing fluctuations in battery performance from impacting device performance. The overall design of the device is lightweight and compact, taking into account soldier comfort and flexibility, reducing burden and facilitating rapid movement in complex terrain. Furthermore, the system strictly adheres to military standards, offering exceptional durability and drop resistance, ensuring full functionality in harsh environments and under unexpected impacts, significantly enhancing the operational utility and lifespan of combat equipment.

[0035] The communication module supports multi-band encrypted wireless communication protocols, has powerful anti-interference and anti-eavesdropping functions, and can effectively ensure the security and reliability of battlefield communications. The module realizes real-time tactical data transmission between multi-node soldiers, enabling various combat units to share key intelligence and situational information, greatly improving collaborative combat capabilities and overall combat efficiency. The communication module has a built-in intelligent routing algorithm that can automatically adjust the frequency and transmission power of the signal according to the complex and changing battlefield environment to adapt to different interference conditions and terrain changes, thereby ensuring the stability of the communication link and the low-latency characteristics of the transmission. Through these technical means, the communication module not only ensures the timely and secure transmission of combat information, but also effectively improves the response speed of command decisions, provides solid communication support for soldiers, and helps to complete efficient and accurate military operations.

[0036] The system further includes an environmental sound collection and analysis module, which is equipped with a highly sensitive array microphone for real-time collection of various sound signals in the battlefield environment. Through advanced sound source localization technology, the module can accurately determine the direction and distance of the sound source, thereby helping soldiers identify the location and dynamics of enemy activities. At the same time, combined with voiceprint recognition technology, the system can distinguish different types of sound signals, such as the footsteps of enemy personnel, the sound of mechanical equipment running, or the sound of gunfire, and effectively identify the specific type of enemy action and potential threats. The environmental sound collection and analysis module realizes the early warning function of the enemy's covert actions, providing soldiers with a valuable time advantage and improving battlefield reaction speed.

[0037] Furthermore, the sound analysis results are fused with data captured by the visual target recognition module, achieving deep integration of multimodal information. Through the mutual verification and complementation of sound and visual information, the system significantly enhances its overall reconnaissance capabilities and the accuracy of battlefield situational awareness, enabling earlier and more accurate detection of hidden targets and potential threats. The introduction of this module enhances the system's perception of complex battlefield environments, providing soldiers with more comprehensive and multi-dimensional tactical support and significantly improving operational safety and efficiency.

[0038] The AR device has a highly protective design and uses multiple layers of waterproof and dustproof materials to ensure that the device reaches a protection level of IP67 or above, which can effectively prevent dust, mud and liquid from entering the internal key components, and ensure the reliable operation of the equipment in various harsh environments. In order to cope with the frequent vibrations and shocks on the battlefield, the equipment is also specially designed with a vibration-resistant and impact-resistant structure, and is reinforced with durable and lightweight materials to ensure that the equipment can work stably in complex and changing military combat environments and is not damaged by external impacts. The device casing uses a low-reflective coating to effectively reduce optical reflections and reduce the brightness of light reflected from the surface of the device, thereby reducing the risk of being discovered by enemy visual reconnaissance and optical equipment, and enhancing concealment. In addition, the equipment design supports rapid disassembly and maintenance, which makes it convenient for battlefield personnel to quickly replace parts or perform troubleshooting, improve the efficiency of equipment use and the convenience of maintenance, and ensure that it continues to function in high-intensity combat environments.

[0039] The system supports a variety of operating methods based on gesture recognition and voice control, greatly improving the convenience and concealment of soldiers in battlefield environments. Soldiers can quickly switch camouflage modes, confirm target marks, and query battlefield information through simple and intuitive gestures, such as waving, pointing, or specific gesture combinations. This operation method without touching the device effectively reduces the risk of soldiers being distracted by operating the device during fierce combat, while avoiding the safety hazards caused by exposing body movements. In addition, soldiers can also complete the same operating tasks through preset voice commands, supporting natural language interaction, making operations more flexible and efficient. Voice control not only improves the convenience of interaction, but also shows unique advantages in low-light environments or when both hands are busy, helping soldiers maintain high mobility in complex environments.

[0040] To ensure operational responsiveness and system security, all gesture recognition and voice control functions are handled locally, avoiding data transmission delays and external interference, and improving the real-time and stability of interactions. This local processing also effectively protects battlefield information security, preventing voice commands and operational data from being intercepted or interfered with by the enemy. The overall interactive design takes into account the unique demands of the battlefield environment, improving soldier operational efficiency and enhancing tactical concealment, providing solid technical support for military operations.

[0041] Various modifications to the present disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the scope of the present disclosure. Therefore, the present disclosure is not limited to the examples and designs described herein, but should be given the widest scope consistent with the principles and novel features disclosed herein. Although one or more exemplary embodiments of the present disclosure have been described with reference to the accompanying drawings, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present disclosure as defined in the appended claims.

Claims

1. AR military camouflage and reconnaissance system, characterized by: The system includes: a wearable augmented reality (AR) device, an environment perception module, a camouflage generation module, a target recognition module, and a display control module; The wearable AR device is used to be installed on a soldier's helmet or goggles, and can capture images of the surrounding environment in real time and analyze the color, light intensity and texture information of the current battlefield environment through the environmental perception module. The camouflage generation module dynamically adjusts the color and texture of the soldier's clothing or equipment based on the analysis results of the environmental perception module, so that the soldier is visually highly integrated with the surrounding environment, achieving adaptive camouflage. The target recognition module uses machine vision and artificial intelligence algorithms to identify enemy targets, traps or threats hidden in the environment, and transmits the identification information to the display control module. The display control module marks the identified enemy targets and traps in the soldier's field of view in real time through the display interface of the AR device, assisting the soldier in reconnaissance and tactical decision-making. The system also includes a communication module to realize target information sharing and coordinated combat among multiple soldiers. Among them, the camouflage generation module can automatically switch and optimize the camouflage mode according to different environmental changes (such as forests, deserts, cities, etc.), and adjust the brightness and contrast of the camouflage effect in combination with real-time lighting changes, thereby improving the concealment and effectiveness of the camouflage.

2. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The environmental perception module includes a multispectral camera, an ambient light sensor, and a temperature and humidity sensor, which can simultaneously collect visible light, infrared spectrum, and ambient light intensity information, and combine temperature and humidity data to analyze the multi-dimensional physical parameters of the battlefield environment, thereby improving the environmental matching degree of camouflage generation and the accuracy of target recognition; the environmental perception module adopts a real-time high-speed data processing unit to realize rapid analysis and feedback of the collected information, ensuring efficient response of camouflage and reconnaissance functions.

3. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The camouflage generation module integrates an image synthesis algorithm based on deep learning. Through a trained neural network model, it automatically generates dynamic textures and color schemes adapted to the current environment based on real-time environmental data, supporting the rapid switching and fusion of multiple camouflage patterns. The module also supports dynamic adjustment of the camouflage brightness, contrast, and transparency according to changes in ambient lighting to enhance the realism and concealment of the camouflage effect, while reducing the probability of detection by enemy infrared or night vision equipment.

4. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The target recognition module uses a multi-layer convolutional neural network combined with a target detection algorithm, and has the ability to identify hidden targets, dynamic objects and camouflaged enemies. It is also equipped with a target tracking algorithm and can achieve continuous tracking and dynamic updates in a multi-target environment. The target recognition module also combines lidar or depth sensor data to enhance the perception of the target's spatial position and motion state, thereby improving recognition accuracy and response speed.

5. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The display control module is equipped with a high-resolution transparent display screen and a positioning tracking system, which can accurately superimpose three-dimensional spatial markers in the soldier's field of view, including enemy target locations, trap warnings and friendly force coordinates. The display interface supports multiple information display modes, such as heat maps, border markers and semantic labels; the display control module also supports custom interface adjustments and multi-mode switching to meet different tactical needs and ensure the clarity and real-time nature of information presentation.

6. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The system uses a low-power, high-performance processor and a dedicated acceleration chip, combined with an efficient heat dissipation design and a shock-resistant and dust-proof structure to achieve long-term continuous combat operation; the system battery has fast charging and thermal management functions to meet the stable power supply needs under extreme climatic conditions; the overall structure of the equipment is light and compact, ensuring the comfort and flexibility of soldiers wearing it, while meeting military standards for durability and drop resistance.

7. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The communication module supports multi-band encrypted wireless communication protocols, has anti-interference and anti-eavesdropping functions, and can realize real-time tactical data transmission and collaborative situational awareness among multi-node soldiers; the communication module has a built-in intelligent routing algorithm, which automatically adjusts the signal frequency and power according to the battlefield environment to ensure the stability and low latency of data transmission, and safeguard combat information security and command efficiency.

8. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The system further includes an environmental sound collection and analysis module, which collects battlefield environmental sound signals through an array microphone and uses sound source localization and voiceprint recognition technology to analyze the direction, distance and type of enemy activities, thereby achieving early warning and positioning assistance for enemy covert actions; The sound analysis results are combined with visual target recognition data to enhance the overall reconnaissance capability and the accuracy of battlefield situation awareness.

9. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The AR device has a highly protective design and uses multi-layer waterproof and dustproof materials to achieve a protection level of IP67 or above. It also has a vibration-resistant and impact-resistant structural design, and can work stably in complex, changeable and harsh military combat environments. The device casing uses a low-reflective coating to reduce optical reflections, reducing the possibility of being observed by the enemy, while supporting quick disassembly and maintenance.

10. The AR military camouflage and reconnaissance system according to claim 1, characterized in that: The system supports operation based on gesture recognition and voice control. Soldiers can switch camouflage modes, confirm target marks, and query information through simple gestures or preset voice commands, improving the convenience and concealment of operations and avoiding distractions or exposing positions during combat. This interaction method ensures response speed and security through local processing.

Images