Abstract: The proposed model Combat Surveillance System – Eye Robot can be deployed for several uncrewed aerial and land missions to classify the known and unknown using object detection and object recognition. If the person is not identified, the robot follows the unrecognised person using the target locking mechanism. The land rover can also trigger the drone inside it in case a suspicious person disappears from the rover's sight. It collects and sends the information of the coordinates and location of the unidentified person to the base station for taking further necessary actions. The Eye Robot can also disable the unknown in case of identification of any threatening activities or dangerous weaponry. This model can also identify and rescue a wounded soldier by sharing information with the nearby base station and requesting the rescue team for arrival by sending an alert message. The communication of highly confidential and secret messages in unavoidable situations can be achieved using gesture recognition, identification of sensitive words via natural language processing for speech detection, and camera module activation for Morse code detection using eye blink. Such techniques can help empower the military to take advantage of AI-based coordination on the battlefield. 4 Claims & 1 Figure
Description:EYE ROBOT FOR COMBAT SURVEILLANCE
Field of Invention
The proposed invention describes the combat surveillance system for military reconnaissance and intelligence to better assist commanders in decision-making on the battlefield and other tyrannical environments.
Background of the invention
The Indian Armed Forces are the world's second-largest military force, with a strength of 1.4 million active personnel. Their main tasks are to assert India's territorial integrity, support the civil community, and defend a country if a foreign nation attacks it. Science and technology are helping the world's military authorities to empower themselves. Hence, the Indian Armed Forces are also undergoing modernisation using Artificial Intelligence. The Indian Army has used AI for facial recognition, language translation (Mandarin to English), remotely operated weapon stations, robotic mine detectors and intrusion detection systems.
For instance, SSRN-id2895632 can detect, identify and classify threats based on the count, number, and type. The proposal claims that its system can also detect armoured vehicles, suspicious men, and the number and type of weaponry they carry in advance. It can also be used in civil applications to prevent intruders and attackers in economic zones like oil fields and gold mines. The essential catch of this system lies in locating the intruder's distance from the sensor node to the target node in terms of latitude and longitude coordinates. However, tracking and detecting can become nearly impossible when the target goes out of range of the sensor.
Similarly, SSRN-id3243546 discloses the development of crewless ground combat and surveillance vehicle. In the prototype, a mounted pistol on the front side provides an aim in the XY plane for triggering it in the target area. The firing mechanism rotates in an up-and-down direction. Two cameras are used for real-time video surveillance purposes. The receiver module receives a live video from two cameras from the transmitter module at the base station. The operator at the base station will monitor the area around the vehicle and controls the robotic vehicle. This project includes control of Unmanned Ground vehicles and gun firing mechanisms using radio frequency (RF). This system ultimately relies on ground surveillance using radio frequency.
WO2012003401A2 also relates to a system that includes a robot and can be independently positioned. The system possesses a camera and an antenna for transmitting images captured by the camera. The robot consists of a robot mounting device for mounting the robot to a rifle. The robot mounting device includes a pair of spaced-apart arms adapted to retain robot body of a surveillance robot. The robot mounting device also includes a latching mechanism to secure the robot mounting device to a rifle. The robot's positioning can be adjusted within the robot mounting device to site a camera in the axle of the robot concerning the rifle. The rifle can then be oriented to obtain visual imagery of an environment. The system operates purely on imagery rather than real-time feedback.
JP5674406B2 similarly deals with a surveillance system, a monitoring device, an autonomous moving body, a monitoring method and a monitoring program controlling the autonomous body for patrolling with the help of a feature search function. The autonomous vehicle circulates on a predetermined route. There is also a provision for specific person extraction from an image taken by any imaging means installed in the surveillance area. Also, a patrol request information is generated corresponding to the point that has more chances of threat. Several areas in a surveillance boundary are provided with a score calculated using at least one of the selection frequencies within a period. The priority for each important monitoring point is output from the calculated results. The critical monitoring point is selected based on certain factors, such as location monitoring and extraction scores. The current locations of the autonomous body, the distance to the vital monitoring point and the pre-set patrol route are acquired and determined.
JP3875988B2 relates to a robot system with a target tracking capability providing real-time tracking of an unpredictable target moving between multiple obstacles in a workplace using data from the detector. Also, a plurality of escape paths for the target can be calculated using the field of view, wherein each path depicts a path that blocks the detection of the target by the detector. There is also a usage of the motion command calculation to create a steering command for the monitoring robot using the escape risk gradient to reduce the ability of the target to escape from the detector. However, when the trajectory of the moving target is unknown, and there is no prior idea of the workspace by the mobile robot, this poses many challenges during development. This problem was visualised with a solution by localising the field view of the workspace and confining the target within this field of view to track the movement of the target.
US10752355B1 claims for systems and methods for operating drones in response to an incident within a coverage area. The drone seeks customer permission or affirmative consent to detect or receive an indication of any triggering or suspicious activity in any of the zones provided. The system provides a means to determine a navigation path to the affected zone, collect data using various sensors and transmit the same to the user via a computing device. The sensor data may include images, videos, temperature data, time data, moisture data, smoke data, luminosity data, radiation data, motion data, pressure data, audio data or a collection of the abovementioned different data formats. The drone uses wireless communication with an intelligent home controller to identify any triggering activity. It also covers any insurance-related events, such as fire accidents.
CN108761511A deals with data transmission of control methods, devices and systems of UAV GNSS reference stations. This invention discloses the UAV GNSS reference station data transmission and control method. A GNSS board, networked communication device, data capture and recorder are all included in the system. An FTP file server linked to the communication network, a differential forwarding server, and a command interaction server are all UAV GNSS reference station data transmission and control device components. The invention integrates file operation, host information/control interaction, and differential data linkages. The terminal device can directly interface with the reference station equipment through the matching port and multiple port servers to receive the necessary data—operational excellence range. Embodiments of the present invention combine the reference station's data flow into a data connection, eliminate complicated and varied communication interactions, receive a variety of data from a single communication link, achieve host control, and boost operational effectiveness.
In the disclosures, as mentioned earlier, there needs to be a mechanism that provides a real-time surveillance system embedded with a combat technique. The requirement for adopting AI practices in different military fields, such as logistics and supply chain, data management, enhanced ISR capabilities, weapon systems, and cyber security, will strengthen the Indian military prowess further. Hence, analyzing the necessities, the Combat Surveillance System - The Eye Robot was proposed.
Summary of the invention
Border guarding can be a formidable task in geographical areas with no possibility of border fencing, such as the Himalayan ranges. Hence, the proposed system can substitute the Border Security Force. Also, this un crewed autonomous vehicle can classify a person as known or unknown, follow the unknown and update the base station of their location. In case of disappearance, the robot enables the drone to track the person from an aerial view. Also, these drones can be used to map the terrain and locate the enemies where it is impossible to send an action team in the first place. This robot can also disable the person upon identifying any suspicious activities (through NLP), weaponry, or other potential threat. In a battlefield or any guarding area, if the soldier is wounded, then this rover can communicate with the nearby base stations and request the assistance of the rescue team via an alert message. It can also communicate secret messages via voice command and gesture recognition. Overall, the Eye Robot is an autonomous surveillance and combat system. Overall, the Eye Robot is an autonomous surveillance and combat system.
The primary objective of propounding the idea of an Eye Robot is to provide a better solution that can fulfil the imminent necessities of the nature of warfare for National Security and Defence. The development of the Combat Surveillance System (CSS) is to provide better assistance to the commanders and their combat team in military intelligence and surveillance without compromising human lives. It serves as an autonomous surveillance and combat system to disable the unknown, posing a potential threat to national security and welfare.
Brief Description of Drawings
The invention will be described in detail with reference to the exemplary embodiments shown in the figures wherein:
Figure-1: Diagrammatic representation of a combat surveillance communication system
Detailed description of the invention
The Combat Surveillance System Eye Robot is an autonomous system helpful for surveillance and combat. The robot contains two main components in itself, namely, the rover and the drone. The rover is used for land surveillance and combat, while the drone is useful in aerial surveillance. During land surveillance, the rover, upon encountering any person, classifies them as known or unknown using object detection and recognition. The known is left while the unknown is followed using the target locking mechanism. The drone is activated for aerial reconnaissance if the unknown person moves out of the rover's range. The drone constantly shares the information of the coordinates of the unidentified person with the rover and the base station. The location of an unknown person is shared with the command centre and base station so that the scouts can follow the person ahead of the main force to gather information about their position, strengths, or movements. This information is shared with the action team of the main force to disable the person. In case of identification of any threat, such as hate content and weaponry for destruction, then the rover is capable of disabling the enemy upon receiving instructions from the control centre when it becomes impossible to send the action team in the first place.
The Eye Robot also holds the potential to identify the wounded soldier and send alert messages to the base station seeking immediate help from the rescue team. It can be used for border patrolling in geographical terrains where human reach is neither sustainable nor impossible. The communication of highly confidential and secret messages in unfavorable situations is achievable using gesture recognition, identification of sensitive words via Natural Language Processing for speech detection, and camera module activation for Morse code detection using eye blink.
Replacing the physical presence of the workforce with intelligent autonomous surveillance and combat systems helps increase efficiency. Autonomous systems can operate 24/7, unlike human personnel who requires rest and breaks. Providing a continuous operation can be crucial in military operations where quick and informed decisions can differentiate between success and failure. Also, this could lead to increased efficiency and productivity. Also, the other aspect of this replacement includes reducing the risk of casualties and injury to military personnel and allowing them to focus on other critical tasks.
It provides both aerial and land reconnaissance systems. Aerial surveillance through drones and land surveillance through locomotive rovers can operate in hazardous environments where human safety and lives are at risk or where human reach is nearly impossible. For example, they could be used to patrol and secure dangerous areas for human personnel, such as nuclear power plants, war zones, and border guarding of inaccessible terrains. Hence, there would be no compromise of human lives on the battlefields or in other harsh conditions. Therefore, there will be a reduction in combat losses.
Assist commanders in making precise and appropriate warfare decisions from the information collected about the enemy, weaponry, or any other aspect of the battlefield or border guarding. These autonomous systems can process vast amounts of data and make decisions based on the collected data more quickly and accurately than humans (if trained properly). They can also be programmed to strict protocols and guidelines, reducing the risk of errors caused by human error or fatigue.
It also leads to Enhanced ISR (Intelligence, Surveillance, and Reconnaissance) capabilities. A combat surveillance system can use a variety of sensors, including cameras, radars and other technologies. Such enhancement helps in enhanced situation awareness. It can primarily provide a comprehensive view of the battlefield or conflict zone. This can help military personnel to detect and track enemy movements, plan their movements and strategies, and respond to threats in real-time.
A combat system also provides a way for well-established targeting and weapon delivery. It can provide accurate and up-to-date information on enemy positions and movements, which can help to target weapons more precisely and accurately to reduce the risk of collateral damage. Also, this system can be deployed in the supply and delivery chains of various high-level organizations involved in national security to provide information about intruders and thefts of different potential items, such as fast and light stores and heavy equipment.
4 Claims & 1 Figure , Claims:The scope of the invention is defined by the following claims:
Claim:
1. A eye robot for combat surveillance comprising:
a) The rover and the drone for terrestrial and aerial surveillance and combat. It uses object detection/recognition to classify people into known and unknown and follows the unidentified person using the target locking mechanism.
b) The Eye Robot disables the enemy in case of identification of any threatening activities, hate content or dangerous weaponry upon receiving instructions from the control centre when it becomes difficult to send the action team in the first place.
c) Upon the disappearance of the target, the rover triggers the drone's activation to identify the suspicious person's location and send their coordinates to the nearby base station
d) The rover contains a camera module for Morse code detection using an eye blink.
2. As mentioned in claim 1, model uses gesture recognition to communicate important information with the control centers. Using Natural Language Processing in speech detection to identify sensitive words or hate content
3. As mentioned in claim 1, model performs border patrolling in geographical terrains where human sustenance is challenging, and fencing is impossible.
4. According to claim 1, upon identification of a wounded soldier (in patrolling areas or on the battlefield), the land rover contacts the nearby base station requesting immediate assistance from the rescue team.
| # | Name | Date |
|---|---|---|
| 1 | 202341038966-REQUEST FOR EARLY PUBLICATION(FORM-9) [07-06-2023(online)].pdf | 2023-06-07 |
| 2 | 202341038966-FORM-9 [07-06-2023(online)].pdf | 2023-06-07 |
| 3 | 202341038966-FORM FOR SMALL ENTITY(FORM-28) [07-06-2023(online)].pdf | 2023-06-07 |
| 4 | 202341038966-FORM 1 [07-06-2023(online)].pdf | 2023-06-07 |
| 5 | 202341038966-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [07-06-2023(online)].pdf | 2023-06-07 |
| 6 | 202341038966-EVIDENCE FOR REGISTRATION UNDER SSI [07-06-2023(online)].pdf | 2023-06-07 |
| 7 | 202341038966-EDUCATIONAL INSTITUTION(S) [07-06-2023(online)].pdf | 2023-06-07 |
| 8 | 202341038966-DRAWINGS [07-06-2023(online)].pdf | 2023-06-07 |
| 9 | 202341038966-COMPLETE SPECIFICATION [07-06-2023(online)].pdf | 2023-06-07 |