DESC:4. DESCRIPTION
Technical Field of the Invention

The invention pertains to a two-dimensional scanner system designed for the assessment of combat vehicles, falling within the technical field of vehicle inspection systems or mechanical engineering focused on vehicle technology.

Background of the Invention

Combat vehicles, including tanks and armored personnel carriers, play pivotal roles in modern warfare, influencing the outcome of military engagements. They are typically inspected regularly to ensure their readiness for battle. Traditional inspection methods involve manual assessments by military personnel, who check for visible signs of damage or wear that might affect the vehicles' performance. However, these traditional methods have significant drawbacks. They are time-consuming and labor-intensive, requiring substantial manpower, which could be better used elsewhere. This is particularly problematic for large fleets of vehicles, where the inspection process can significantly divert resources from other critical tasks.

Furthermore, manual inspections are highly prone to human error. The accuracy of these inspections heavily depends on the skill and attentiveness of the personnel, which can vary and lead to inconsistent and sometimes unreliable results. The scope of manual inspections is also limited; they tend to focus on external vehicle conditions and are less effective at assessing internal or hard-to-reach components. This can lead to critical malfunctions going undetected until they cause operational failures, posing serious risks during missions.

Another significant issue with manual inspections is their inability to provide comprehensive, quantitative data. Without detailed data, systematic analysis and long-term tracking of vehicle conditions are challenging, making it difficult to perform trend analysis or predictive maintenance. These are essential for prolonging the operational life and reliability of military assets, as they help in planning maintenance schedules and resource allocation more effectively.

Given the critical need for enhanced inspection methods, the proposed two-dimensional scanner system represents a substantial improvement over existing techniques. By automating the inspection process, the new system reduces reliance on manual labor, minimizes the potential for human error, and provides a comprehensive assessment that includes hard-to-reach areas. This not only speeds up the inspection process but also significantly enhances the accuracy and reliability of the assessments. With the capability to generate detailed quantitative data, the system facilitates better decision-making and strategic planning, ensuring that combat vehicles are maintained in optimal condition for deployment in military operations. This innovative approach to vehicle inspection not only improves operational readiness but also contributes to the overall safety and effectiveness of military forces, highlighting the system's value and potential impact on modern military operations.

Brief Description of the Invention

The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

The two-dimensional scanner system introduced in this invention is designed with specific objectives that fundamentally transform the inspection process for combat vehicles, addressing several critical areas of concern within military operations.

Firstly, the system is engineered to enhance the accuracy of inspections. By integrating advanced technologies such as high-resolution cameras, infrared imaging, and ultrasonic sensors, it provides a far more detailed and accurate analysis of a vehicle's condition than traditional manual inspections. These technologies enable the system to detect not only superficial defects but also internal issues that are not visible to the human eye. This level of detail is crucial for maintaining the integrity and operational readiness of combat vehicles, which must perform under extreme conditions.

Secondly, the system aims to reduce the time required for inspections, a key factor in ensuring rapid operational readiness. In military contexts, the ability to quickly and efficiently assess the condition of a vehicle fleet can significantly impact strategic and tactical decision-making. The automation of the inspection process allows for continuous and simultaneous assessments of multiple vehicles, drastically reducing the downtime associated with manual checks. This rapid turnaround is vital for maintaining high levels of readiness and can be the difference in operational success.

Thirdly, increasing overall efficiency is a cornerstone of this system. By automating the entire inspection process, the system minimizes the need for extensive human involvement, which traditionally includes manual checks and data recording. Automation not only speeds up the process but also reduces human error, making the inspections more reliable. Additionally, this efficiency allows military personnel to redirect their efforts towards other critical tasks, optimizing manpower usage and operational capability.

Finally, the system provides comprehensive assessments that cover both visible and hard-to-reach internal components of the vehicles. This is achieved through the sophisticated array of sensors and the unique capability of the system to perform both horizontal and vertical scans. Such thorough inspections ensure that every part of the vehicle is evaluated, from surface panels to deep internal mechanisms, many of which are crucial for the vehicle's performance but are typically challenging to access. This comprehensive coverage is essential for preemptively identifying potential failures that could lead to operational disruptions or safety hazards.

According to an aspect of the present invention, the two-dimensional scanner system integrates advanced scanning technologies and automation to enhance the accuracy and efficiency of vehicle inspections beyond the capabilities offered by traditional manual methods.

The system employs a combination of horizontal and vertical scanning modules equipped with a range of sophisticated sensors and imaging technologies, including high-resolution cameras, infrared imaging, and ultrasonic sensors. These technologies collectively provide a comprehensive assessment of both the external and internal components of military vehicles, enabling the detection of issues that are typically invisible to the naked eye, such as internal structural weaknesses or hidden damages beneath vehicle armor.

The core advantage of this invention lies in its ability to rapidly and accurately gather and process data from various angles and components of the vehicle. This data is analysed using advanced algorithms that assess the vehicle's condition, identify potential maintenance needs, and pinpoint structural concerns. By automating the inspection process, the system not only significantly reduces the time required for each vehicle assessment but also increases the precision of these assessments. This leads to more informed and reliable decisions regarding vehicle maintenance and deployment.

Another significant feature of the system is its adaptability. The scanner system can be configured to suit different types of military vehicles, ensuring that it can be seamlessly integrated into existing military maintenance protocols without the need for extensive modifications to the vehicles or the infrastructure. This flexibility makes the system an invaluable tool across various military units and operations, enhancing its utility and applicability.

The practical applications of this scanner system are vast, particularly within military contexts. By providing rapid, accurate, and comprehensive vehicle assessments, the system greatly enhances operational readiness. Vehicles can be quickly evaluated and cleared for service, ensuring that military units maintain optimal readiness levels. Additionally, the system enhances safety by identifying potential vehicle failures that could endanger service members during operations. This proactive approach to maintenance not only safeguards personnel but also ensures that vehicles are always in peak operational condition.

Cost efficiency is another critical advantage. The automation of the inspection process significantly reduces the labor costs associated with manual inspections and decreases the downtime of vehicles awaiting maintenance. This contributes to substantial operational cost savings and more efficient use of military budgets. Moreover, the detailed diagnostic reports generated by the system facilitate data-driven maintenance planning. This strategic approach helps extend the service life of the vehicles, optimizes maintenance resources, and ensures that repairs and upgrades are carried out in a timely and cost-effective manner.

Beyond military applications, the design and functionality of the scanner system make it suitable for adaptation in other sectors that utilize large vehicle fleets, such as heavy equipment industries and public transportation systems. In these sectors, the system's ability to provide quick and precise assessments can similarly improve vehicle uptime, safety, and cost management, making it a versatile tool with broad market potential.

To summarize, the two-dimensional scanner system for assessing combat vehicles embodies a significant technological advancement in vehicle inspection systems. By combining advanced scanning technology with automated processes, the system offers a superior alternative to manual inspections, delivering rapid, accurate, and comprehensive vehicle assessments. This innovation not only enhances military operational readiness and safety but also presents opportunities for efficiency gains in various other industries, underscoring the system's wide-ranging implications and potential for transforming vehicle maintenance protocols globally.

Further objects, features, and advantages of the invention will be readily apparent from the following description of the preferred embodiments thereof, taken in conjunction with the accompanying drawings.

Brief Description of the Drawings

The above and other objects, features and advantages of the invention will become apparent from a consideration of the following detailed description presented in connection with the accompanying drawings in which:

FIG. 1A illustrates said two-dimensional scanner system for assessing combat vehicles in accordance with an exemplary embodiment of the present invention.

FIG. 1B illustrates two-dimensional scanner system for assessing combat vehicles involved in the said scanning system in accordance with an exemplary embodiment of the present invention.

It is appreciated that not all aspects and structures of the present invention are visible in a single drawing, and as such multiple views of the invention are presented so as to clearly show the structures of the invention.

Detailed Description of the Invention

It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. In addition, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

In an exemplary embodiment, a two-dimensional coordinate scanner system is provided, configured to assess combat vehicles and surrounding terrain in operational environments requiring high situational awareness. The system comprises a horizontally scanning module configured to perform azimuthal sweeps across the environment, and a vertically scanning module configured to perform elevation sweeps, the two modules operating in synchronized coordination. The horizontal scanning module systematically monitors lateral planes, enabling wide-area surveillance across ground-level and near-ground zones, while the vertical scanning module complements this by detecting objects at various elevations, including elevated installations, aerial threats, and natural topographical features.

In accordance with one embodiment, the horizontal scanning module employs precision-actuated mechanisms allowing fine-grained control over azimuthal scanning angles and sweep speeds. This ensures consistent and systematic coverage of the lateral field, enabling detection of both stationary and moving threats across wide geographical expanses. The vertical scanning module operates concurrently, employing elevation control mechanisms that allow for vertical angular adjustments, thereby enabling the system to monitor targets situated at heights ranging from ground level to elevated or airborne positions.

According to another embodiment, the horizontal and vertical scanning modules are operatively connected to a central command control unit through dedicated high-speed data interfaces. These interfaces facilitate continuous, real-time bidirectional communication between the scanning modules and the command control unit, enabling the centralized coordination of scanning operations and dynamic adjustment of scanning parameters in response to environmental and operational factors.

In an exemplary embodiment, the command control unit processes the incoming spatial and environmental data streams, executing data fusion algorithms to create a comprehensive situational awareness model. The command control unit applies advanced threat assessment criteria, incorporating parameters such as proximity, velocity, heat signatures, radar cross-section, and behavioral patterns to classify, prioritize, and recommend actions against potential threats. Dynamic control commands are generated based on ongoing assessments, directing the scanning modules to modify scanning behaviors such as sweep width, angular resolution, and focus zones as needed.

In one embodiment, a real-time feedback mechanism is employed to ensure that scanning operations remain adaptive and responsive to changes in the operational environment. The feedback mechanism continuously monitors parameters such as mechanical performance, environmental noise, system load, and scanning effectiveness, transmitting real-time updates to the command control unit. Based on the feedback, the command control unit dynamically optimizes scanning configurations, adjusting parameters such as sweep speed, sensor sensitivity, and field of view.

According to another embodiment, a set of electro-optical sensor units are integrated with the scanning modules. These sensors provide high-resolution visual imagery across multiple spectral bands, including visible light, near-infrared, and long-wave infrared. The multi-spectral capability allows effective operation across varying lighting conditions, including daytime operations, nighttime missions, and scenarios with limited or obscured visibility due to smoke, fog, or dust.

In an exemplary embodiment, the system further includes a ground surveillance radar, configured to operate independently or cooperatively with the electro-optical sensors. The ground surveillance radar employs frequency-modulated continuous wave and Doppler radar principles to detect both stationary and moving objects, even through environmental obstructions. The radar system extends detection ranges beyond visual line-of-sight, ensuring that threats are detected at significant distances under all-weather conditions.

According to one embodiment, the electro-optical sensor data and ground surveillance radar data are processed together in the command control unit, enhancing detection accuracy through sensor fusion techniques. The combined data stream allows the system to cross-validate targets, reduce false positives, and prioritize engagements with higher confidence levels.

In another embodiment, the system incorporates an automated target recognition module configured to autonomously process sensor and scanning data. This module applies machine learning algorithms, including convolutional neural networks, to classify and recognize potential threats based on a library of known object profiles and operational patterns. The automated recognition module improves over time through reinforcement learning strategies, adapting to evolving threat scenarios and enhancing detection accuracy with ongoing deployment experience.

In an exemplary embodiment, the horizontal and vertical scanning modules produce two-dimensional spatial outputs representing detected object coordinates relative to the system’s position. These outputs are dynamically updated in real time and transmitted to the command control unit, where they are incorporated into spatial awareness models and operational decision-making processes.

In another embodiment, the horizontal and vertical scanning modules are configured to operate in a variety of scanning modes, including wide-area surveillance mode, focused tracking mode, and threat prioritization mode. In wide-area surveillance mode, the modules perform systematic sweeps to cover expansive areas with moderate resolution. In focused tracking mode, the system concentrates scanning resources on a specific sector or object, employing higher resolution and faster refresh rates. In threat prioritization mode, scanning behaviors are dynamically adjusted to focus on high-risk objects identified by the threat analysis algorithms.

In accordance with another embodiment, the command control unit interfaces with external engagement systems such as weapon control modules, allowing the coordinate scanner system to contribute directly to threat engagement decisions. The system can relay target coordinates, classifications, and movement trajectories to external systems, enabling precise targeting and minimizing engagement response times.

In an exemplary embodiment, the scanner system is designed for modular deployment, allowing for integration onto a wide variety of platforms, including armored combat vehicles, unmanned ground vehicles, fixed surveillance installations, and aerial platforms. The system’s modularity enables flexible configuration based on mission profiles, including configurations optimized for urban environments, open terrain, mountainous regions, or maritime borders.

In one embodiment, the system architecture is ruggedized to meet stringent environmental durability standards, including resistance to shock, vibration, thermal extremes, humidity, dust ingress, and electromagnetic interference. The design ensures reliable and continuous operation under battlefield conditions, enabling mission-critical deployment without degradation of scanning performance or system integrity.

In another embodiment, the feedback mechanism is configured to prioritize and report critical operational parameters such as target acquisition success rates, mechanical system diagnostics, environmental scan effectiveness, and communication integrity. These real-time metrics are utilized by the command control unit to refine scanning algorithms and update engagement strategies dynamically, ensuring that operational effectiveness is maintained throughout the mission lifecycle.

According to an exemplary embodiment, the command control unit is capable of predictive analytics based on historical and real-time operational data. Predictive algorithms are employed to anticipate target movements, potential threat emergence zones, and environmental shifts that could impact system performance. These predictions enable proactive scanning adjustments, optimizing system readiness for emerging threats before they fully materialize.

In another embodiment, the system includes fail-safe mechanisms ensuring operational continuity in the event of partial subsystem failure. Redundant communication channels, backup control processors, and autonomous scanning fallback modes enable the system to maintain baseline surveillance and threat detection capabilities even under degraded operational conditions.

In an exemplary embodiment, the electro-optical sensors and radar systems are configured for collaborative operation modes, wherein each sensor modality provides primary and secondary verification for target confirmation. For example, thermal imagery from the electro-optical sensors may confirm the presence of a heat-emitting object detected initially by radar, or vice versa, enhancing classification confidence and minimizing false engagements.

In accordance with one embodiment, the automated target recognition module is equipped with user-configurable threat libraries, allowing operators to tailor recognition parameters based on mission-specific intelligence, anticipated enemy equipment profiles, or environmental anomalies. This configurability ensures that the system remains tactically adaptable and mission-specific.

In another embodiment, the scanner system supports multiple operating profiles, selectable via mission programming interfaces. Profiles can include configurations optimized for stealth surveillance, rapid target acquisition, defensive perimeter monitoring, or aggressive search-and-engage operations. Each profile configures the scanning parameters, sensor activation patterns, data processing priorities, and recognition criteria to best support the mission objectives.

In an exemplary embodiment, continuous self-diagnostics are embedded throughout the scanner system’s architecture. The system continuously monitors its scanning module actuators, sensor calibration states, communication pathways, and processing loads, ensuring that any anomalies are detected, reported, and, where possible, automatically corrected or mitigated during operation.

In another embodiment, the system’s predictive maintenance protocols enable operators to schedule service intervals based on actual operational wear and system health data rather than fixed timeframes. This predictive maintenance strategy increases system availability, reduces maintenance costs, and enhances operational longevity.

According to an exemplary embodiment, the overall architecture of the scanner system is designed to ensure low signature operation where necessary. Scanning actuator movements, sensor emissions, and communication signals can be dynamically minimized or shielded to reduce the system’s detectability by enemy surveillance or electronic warfare assets during stealth missions.

With reference to Figures 1A and 1B, the invention introduces an integrated scanning system comprising a horizontal scanning module (1), a vertical scanning module (2), a command control unit (3), a feedback mechanism (4), a plurality of electro-optical sensor units (5), a ground surveillance radar (6), an automated target recognition module (7), a horizontal scanning interface (8), and a vertical scanning interface (9). Each subsystem plays a critical role in achieving comprehensive, real-time vehicle assessment, ensuring high situational awareness and operational readiness.

The horizontal scanning module (1) is configured to perform azimuthal sweeps across a terrain. It employs a precision actuator-based mechanism capable of fine angular resolution, enabling systematic scanning of expansive lateral areas. Designed with high-sensitivity optical and radar sensors, the horizontal module captures detailed spatial and environmental data. Integrated control algorithms dynamically adjust the sweep speed and azimuthal range based on terrain complexity and operational urgency. A key feature is its adaptive field-of-view adjustment, which ensures optimal detection performance irrespective of environmental variability. The module interfaces with the command control unit (3) via the horizontal scanning interface (8), which ensures low-latency data transfer and robust error-resilient communication.

Complementing the horizontal module, the vertical scanning module (2) executes precise elevation scans, extending the system's surveillance capabilities to detect targets located at various vertical planes. This module incorporates synchronized servo-motor systems, allowing seamless coordination with the horizontal module. It captures elevation-specific spatial data, critical for assessing elevated threats such as rooftop snipers, aerial drones, or hill-based artillery. Operating in tandem, the horizontal and vertical modules ensure comprehensive three-dimensional situational mapping of the environment.

The command control unit (3) functions as the central intelligence hub of the system (100). It hosts non-transitory computer-readable memory embedded with proprietary scanning, data fusion, and decision-making algorithms. The control unit processes incoming data from scanning modules, electro-optical sensors, and ground surveillance radar, prioritizing targets based on threat analysis parameters like proximity, velocity, heat signatures, and radar cross-section. It dynamically adjusts scanning parameters including sweep speeds, angular resolutions, and sensor activation sequences based on real-time inputs received via the feedback mechanism (4).

The feedback mechanism (4) establishes a dynamic, real-time communication loop between the scanning modules (1,2) and the command control unit (3). Utilizing advanced signal processing techniques and low-latency communication protocols, it continuously monitors the performance metrics of each subsystem. Parameters like detection success rate, environmental noise levels, and mechanical health diagnostics are fed back to the command control unit, enabling instantaneous adaptive adjustments. An embedded error-correction system ensures data integrity even under electronic warfare conditions such as jamming or signal degradation.

The electro-optical sensor units (5) encompass a suite of high-resolution visual spectrum cameras, near-infrared sensors, and long-wave infrared detectors. Multi-spectral imaging allows these sensors to operate effectively across day/night cycles and diverse weather conditions. The sensors automatically switch operational modes depending on ambient lighting and thermal contrast conditions, providing high-contrast imagery for both visible and obscured targets. Advanced image processing algorithms detect minute anomalies such as hairline fractures in armour or surface deformations, contributing significantly to early fault detection.

The ground surveillance radar (6) augments the optical capabilities by providing long-range, all-weather target detection. Employing frequency-modulated continuous wave (FMCW) and Doppler radar techniques, it detects stationary and moving objects irrespective of visual obstructions like fog, dust, or foliage. With an operational range exceeding 10 kilometres under standard battlefield conditions, the radar ensures that threats can be tracked well before visual confirmation becomes feasible. Embedded AI-driven clutter rejection algorithms differentiate between environmental noise (such as birds or debris) and genuine targets, enhancing detection reliability.

The automated target recognition module (7) integrates artificial intelligence and machine learning capabilities to autonomously identify, classify, and prioritize potential threats. Using deep convolutional neural networks (CNNs) trained on extensive datasets of known target profiles, the system achieves high accuracy rates in distinguishing between friend, foe, and neutral entities. The module continuously updates its threat classification models through reinforcement learning, adapting to evolving battlefield scenarios and adversary countermeasures.

The horizontal scanning interface (8) and vertical scanning interface (9) serve as dedicated communication conduits between the scanning modules and the command control unit. Designed with redundant communication pathways and secure encryption protocols, they ensure data transfer rates exceeding 1 Gbps with latencies below 10 milliseconds. Real-time synchronization between lateral and elevation data streams is achieved, enabling the command control unit to generate an integrated spatial awareness model.

An exemplary embodiment involves the deployment of system (100) on a main battle tank in a rugged desert environment. During field trials, the horizontal scanning module performed lateral sweeps at a rate of 45 degrees per second, while the vertical scanning module synchronized elevation sweeps across a vertical range of -10 to +60 degrees. Electro-optical sensors successfully detected thermally camouflaged adversary assets hidden behind sand dunes. Simultaneously, the ground surveillance radar identified incoming low-flying UAVs (Unmanned Aerial Vehicles) at a range of 8.2 kilometres. The automated target recognition module classified threats with 96% accuracy, and the command control unit orchestrated real-time engagement protocols, adjusting scanning parameters based on threat density.

In another embodiment, the system was integrated into an armoured personnel carrier operating in dense urban terrain. Here, vertical scanning allowed detection of threats positioned atop multi-storey buildings. Feedback-driven dynamic scanning adjustments enabled optimal threat monitoring despite complex line-of-sight challenges posed by narrow streets and architectural obstacles.

The core scanning algorithm operates in three phases: initialization, acquisition, and tracking. During initialization, terrain mapping and baseline calibration are performed. In the acquisition phase, scanning modules operate at medium resolution to detect potential targets. Upon positive detection, the system transitions to tracking mode, where high-resolution scanning is employed along with predictive motion algorithms based on Kalman filters. The integration of real-time environmental modelling further enhances target tracking under occlusion scenarios.

Sample pseudocode for target acquisition and feedback adjustment is as follows:
Initialize System();
While (Mission Active) {
Scan_Terrain_Horizontal();
Scan_Terrain_Vertical();
Capture_Sensor_Data();
Process_Data_CommandUnit();
If (Potential_Target_Detected) {
Activate_HighRes_Scan();
Run_TargetRecognitionModule();
If (Threat_Confirmed) {
Update_Target_Prioritization();
Adjust_Scan_Parameters();
}
}
Update_FeedbackMechanism();
}

Comparative analysis against conventional manual inspections demonstrates significant performance improvements. Manual inspections conducted over a fleet of 50 vehicles required an average of 96 hours, while system (100) reduced inspection time to 14 hours, achieving a 6.8x increase in operational efficiency. Detection rates improved by 43%, with human error factors reduced by 71%.

Applications of the system extend beyond battlefield vehicle inspection. The scanner system can be adapted for numerous military, security, and civilian sectors. In homeland security, the system can be deployed for border surveillance, monitoring unauthorized crossings or suspicious vehicle movements over vast and remote terrains. In urban security scenarios, the system is well-suited for securing sensitive installations such as embassies, government complexes, and critical infrastructure including airports, power plants, and transportation hubs. In the industrial sector, it may be utilized for the inspection of large-scale mechanical systems, such as bridges, oil rigs, and pipelines, to detect structural anomalies that might not be immediately visible to human inspectors. Disaster management agencies can deploy the system for post-calamity assessments, such as surveying earthquake-affected buildings or scanning debris fields for survivors and hazards. Furthermore, the technology can be tailored for public transportation systems, ensuring rapid and accurate inspection of buses, trains, and related infrastructure to enhance operational safety and reduce downtime. The adaptability to different platforms—such as land-based vehicles, drones, and stationary installations—further amplifies its utility across varied domains.

Key advantages of the invention are manifold. Primarily, the system achieves high-speed, high-accuracy threat detection with minimal human intervention, drastically reducing operational risks and errors associated with manual inspections. Its capability to function under all-weather, day-and-night conditions ensures uninterrupted surveillance and assessment, crucial for maintaining continuous security perimeters and battlefield superiority. The modular and scalable design allows easy customization and integration across multiple military vehicle types and civilian infrastructure systems, promoting versatility. Dynamic adaptability, facilitated by real-time feedback and AI-driven decision-making, empowers operators to respond swiftly to emerging threats, evolving terrains, and adversary tactics. The system significantly reduces manpower requirements, enabling resource optimization and cost savings while simultaneously increasing inspection throughput. Superior situational awareness achieved through the three-dimensional composite scanning offers a decisive tactical advantage, minimizing blind spots and undetected threats. Operational reliability, demonstrated by rigorous compliance with military-grade test standards, ensures the system’s performance under the harshest conditions. Importantly, by facilitating proactive maintenance scheduling based on comprehensive inspection data, the system extends the operational lifespan of vehicles and critical assets, contributing to long-term sustainability and strategic readiness.

Testing and validation of the system were conducted under MIL-STD-810G standards for ruggedness, including temperature shock, vibration, dust, and humidity tests. The ground surveillance radar was validated using ANSI/IEEE Standard 686 for radar performance. Electro-optical sensors were tested according to ASTM E2937 for infrared imaging systems. Results demonstrated 98.5% uptime reliability across 1,000 continuous operational hours and 94% detection accuracy under adverse weather simulations.

In conclusion, the two-dimensional coordinate scanner system (100) represents a significant technological advancement in the assessment of combat vehicles. By integrating horizontal and vertical scanning modules, advanced sensor suites, AI-based target recognition, dynamic feedback mechanisms, and secure real-time communication frameworks, the system delivers unmatched situational awareness, threat detection, and operational readiness. Its adaptability, reliability, and comprehensive coverage make it a critical asset for modern military forces and related security applications, ensuring superiority across diverse and challenging operational environments.
,CLAIMS:5. CLAIMS
We claim:
1. A two-dimensional coordinate scanner system (100) for assessing combat vehicles, comprising:
a horizontal scanning module (1) configured to perform lateral azimuthal scanning across a terrain and detect potential targets by capturing real-time spatial data;
a vertical scanning module (2) configured to perform elevation scanning in conjunction with the horizontal scanning module (1) for detecting targets across varying heights;
a command control unit (3) operatively connected to the horizontal scanning module (1) and vertical scanning module (2), configured to process sensor data, dynamically generate target engagement commands, and adapt scanning parameters based on operational inputs;
a feedback mechanism (4) configured to provide real-time performance updates from the scanning modules (1, 2) to the command control unit (3) and to facilitate adaptive scanning adjustments;
a plurality of electro-optical sensor units (5) configured to capture visual and infrared imagery to augment target detection;
a ground surveillance radar (6) configured to detect and track targets under diverse environmental conditions, including low-visibility scenarios;
an automated target recognition module (7) configured to autonomously analyse sensor data and identify potential targets using pattern recognition and machine learning algorithms;
a horizontal scanning interface (8) configured to enable communication and data transfer between the horizontal scanning module (1) and the command control unit (3);
a vertical scanning interface (9) configured to enable communication and data transfer between the vertical scanning module (2) and the command control unit (3);
wherein the horizontal scanning module (1) and vertical scanning module (2) operate in a coordinated manner to generate accurate two-dimensional scanning coordinates (?x, ?y) of combat vehicles (10),
the command control unit (3) dynamically adjusts scanning parameters including scanning speed, resolution, and direction, based on real-time feedback from the feedback mechanism (4), electro-optical sensor units (5), ground surveillance radar (6), and automated target recognition module (7), thereby optimizing operational effectiveness, situational awareness, and target engagement accuracy under varying battlefield conditions.

2. The system (100) as claimed in claim 1, wherein the horizontal scanning module (1) performs continuous lateral sweeps while the vertical scanning module (2) performs synchronized elevation sweeps to construct a composite spatial map of the surrounding terrain.

3. The system (100) as claimed in claim 1, wherein the feedback mechanism (4) dynamically adjusts field-of-view, sweep speed, or detection sensitivity of the scanning modules (1,2) based on detected environmental changes or target behavior.

4. The system (100) as claimed in claim 1, wherein the electro-optical sensor units (5) include multi-spectral imaging sensors for enhancing target detection capability under different lighting and environmental conditions.

5. The system (100) as claimed in claim 1, wherein the ground surveillance radar (6) operates using Doppler radar principles to detect moving targets even in adverse weather conditions including rain, fog, or dust storms.

6. The system (100) as claimed in claim 1, wherein the automated target recognition module (7) utilizes artificial intelligence (AI) based classifiers trained to distinguish between friend, foe, and non-threat objects with high precision.

7. The system (100) as claimed in claim 1, wherein the command control unit (3) stores and processes incoming data on a non-transitory computer-readable medium and generates actionable alerts based on real-time threat prioritization.

8. The system (100) as claimed in claim 1, wherein the horizontal scanning interface (8) and the vertical scanning interface (9) employ encrypted high-speed communication protocols to ensure secure and error-resilient data transmission.

9. The system (100) as claimed in claim 1, wherein the system (100) is modular and configurable for installation on multiple types of military vehicles, including tanks, armored personnel carriers, and mobile artillery platforms.

10. A method for scanning and assessing combat vehicles using a two-dimensional coordinate scanner system (100), comprising the steps of:
initiating horizontal scanning across terrain using a horizontal scanning module (1);
simultaneously initiating vertical scanning across elevations using a vertical scanning module (2);
capturing and transmitting real-time spatial data from the scanning modules (1,2) to a command control unit (3);
processing the captured data at the command control unit (3) to detect and prioritize potential targets;
dynamically adjusting scanning parameters based on real-time feedback from a feedback mechanism (4), electro-optical sensor units (5), ground surveillance radar (6), and automated target recognition module (7);
identifying potential threats using automated pattern recognition algorithms within the automated target recognition module (7);
outputting two-dimensional scanning coordinates (?x, ?y) for each detected target;
generating target engagement commands based on processed data and transmitting them to operational units.

6. DATE AND SIGNATURE

Dated this 03rd May 2025
Signature

Mr. Srinivas Maddipati
IN/PA 3124- In house Patent Agent
(For., Zen Technologies Limited)