Description:
Title of The Invention
MULTI-PURPOSE SURVEILLANCE SYSTEM USING MACHINE LEARNING AND INTERNET OF THINGS
Field of the Invention
This invention relates to Multi-purpose Surveillance System using Machine Learning and Internet of the things.
Background of the Invention
Keeping a track of security system with swift and accurate action has become the need of the hour. Currently the surveillance system first identifies the target and passes on the information to the law enforcement agencies. Once the information is received a team is prepared and dispatched for the action to be taken. During this time gap in tracking and taking action the miscreants/terrorists take advantage and flee the spot.
KR102305438B1 An UAV surveillance system comprises: a plurality of UAV detection devices that are interlocked respectively with at least one noise sensor and a GPS receiver that provides the location coordinates of the noise sensor, and detect whether an object is an UAV by extracting a spectrum from the noise signal when the noise sensor senses the noise generated from the object and generates a noise signal; and an UAV monitoring device that are interlocked with the plurality of drone detection devices and at least one camera, and rotate the camera in the direction of the noise sensor sensing the noise generated by the drone when receiving drone detection information generated by detecting the appearance of the drone from a specific drone detection device, and monitors an UAV.
Research Gap: Our proposed system even identifies if the detected drone is authorized or not.
And whenever any unauthorized drone will be detected, only then it will send alert in the control room
KR101832273B1 The present invention relates to an intelligent-image surveillance method using a drone, a multifunctional drone and a drone charging device. The multifunctional drone comprises a drone body, photographing part, analysis part, communication part, alarm output part and information input part. The drone body comprises: a control part; a plurality of propellers outputting lift; a charging battery; and a connection part positioned on a side part thereof to receive electric power for charging from the outside. The photographing part is installed on a lower side of the drone body and includes a thermal imaging camera. The analysis part analyzes contents photographed by the photographing part and transmits the analyzed contents to the control part. The communication part receives a radio signal input from the outside to be transmitted to the control part and transmits the photographed contents of the photographing part to the outside. The alarm output part is operated by the control part to generate an alarm signal when an emergency situation is determined as an analysis result of the analysis part. The information input part is able to input information related to the flight to the control part. According to the intelligent-image surveillance method using a drone, which is described above, of the present invention, when an emergency situation occurs while the drone performs a surveillance task along a predetermined route by receiving a Wi-Fi (wireless fidelity) signal or a beacon signal, the drone analyzes the situation by photographing an image through a camera and performs analysis and transmits information to a control center in real time, thereby quickly coping with the emergency.
Research Gap: Our proposed system is based on edge based device and can be installed anywhere, even inside the banks and jewelry shops, etc. to detect dangerous weapons.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is Multi-purpose Surveillance System using Machine Learning and Internet
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Multiple cameras will be installed in such a way that it covers the whole 360 degrees and these cameras will be positioned or angled in such a way that they can see the major area at once, where the drones are usually operated or accidents happen or other crimes are done. In case of drones, whenever any drone will be detected, firstly it will be identified if it’s even a drone or not with the help of machine learning. Once it’s confirmed that the detected object is a drone, then it will be checked if the detected drone is authorized or not with the help of radar, artificial intelligence and machine learning and also using the data from the database of DGCA (Directorate General of Civil Aviation). If the detected drone will be an unauthorized drone, it will display the footage of the drone in the nearest police station and the main control room and those drone footages will be stored in the database of the main control room. It will also display the location of the drone in the google maps with a small circle indicating a range where the drone is detected. It will also trigger an alarm in the nearest police station and the main control room and also at the place of where the device will be installed to alert the public that a drone is being detected nearby.
In the similar way, the proposed system will surveillance and detect different kinds of accidents, crimes, etc. And whenever anything unwanted or dangerous activities will be detected, footage will be recorded and sent it to the control room, along with the location and alert message, so that appropriate action can be taken by the authorities quickly.
Multiple surveillance nodes will be installed in the whole state and every single surveillance node will have their own Unique ID and the main control room can access any surveillance node at any time with the help of their Unique ID.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig. 1 Multi-purpose Surveillance System
Fig. 2 Surveillance Node
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Multiple cameras will be installed in such a way that it covers the whole 360 degrees and these cameras will be positioned or angled in such a way that they can see the major area at once, where the drones are usually operated or accidents happen or other crimes are done. In case of drones, whenever any drone will be detected, firstly it will be identified if it’s even a drone or not with the help of machine learning. Once it’s confirmed that the detected object is a drone, then it will be checked if the detected drone is authorized or not with the help of radar, artificial intelligence and machine learning and also using the data from the database of DGCA (Directorate General of Civil Aviation). If the detected drone will be an unauthorized drone, it will display the footage of the drone in the nearest police station and the main control room and those drone footages will be stored in the database of the main control room. It will also display the location of the drone in the google maps with a small circle indicating a range where the drone is detected. It will also trigger an alarm in the nearest police station and the main control room and also at the place of where the device will be installed to alert the public that a drone is being detected nearby.
In the similar way, the proposed system will surveillance and detect different kinds of accidents, crimes, etc. And whenever anything unwanted or dangerous activities will be detected, footage will be recorded and sent it to the control room, along with the location and alert message, so that appropriate action can be taken by the authorities quickly.
Multiple surveillance nodes will be installed in the whole state and every single surveillance node will have their own Unique ID and the main control room can access any surveillance node at any time with the help of their Unique ID.
Best Method of working:
Disclosed herein a Multi-purpose Surveillance System using Machine Learning and Internet of things comprises Wi-Fi/GSM/RAF (101), Cloud Server (102), Main Control Room (103), Nearest Police Station (104), Surveillance Node 1 (105), Surveillance Node 2 (106); and Surveillance Node 3 (107).
In another embodiment, Multiple cameras are installed in such a way that covers the whole 360 degrees and these cameras are positioned or angled in such a way that they see the major area at once, where the drones are usually operated or accidents happen or other crimes are done.
In another embodiment, in case of drones, whenever any drone is detected, firstly it is identified if it’s even a drone or not with the help of machine learning.
In another embodiment, Once it’s confirmed that the detected object is a drone, then it is checked if the detected drone is authorized or not with the help of radar, artificial intelligence and machine learning and also using the data from the database of DGCA (Directorate General of Civil Aviation).
In another embodiment, if the detected drone will be an unauthorized drone, it displays the footage of the drone in the nearest police station and the main control room and those drone footages is stored in the database of the main control room.
In another embodiment, it displays the location of the drone in the google maps with a small circle indicating a range where the drone is detected.
In another embodiment, it also triggers an alarm in the nearest police station and the main control room and also at the place of where the device will be installed to alert the public that a drone is being detected nearby.
In another embodiment, the system surveillance and detect different kinds of accidents, crimes and whenever anything unwanted or dangerous activities will be detected, footage is recorded and sent it to the control room, along with the location and alert message, so that appropriate action can be taken by the authorities quickly.
In another embodiment, Multiple surveillance nodes will be installed in the whole state and every single surveillance node are have their own Unique ID and the main control room can access any surveillance node at any time with the help of their Unique ID.
In another embodiment, Real-time monitoring multi-purpose surveillance system is using Artificial Intelligence and Machine Learning; and Vision inspired multi-purpose surveillance system for real-time alert generation through Wi-Fi connectivity, artificial intelligence and machine learning.
ADVANTAGES OF THE INVENTION:
1. It will help police and defence mechanism in monitoring different unwanted and suspicious activities in public and sensitive areas.
2. It can be installed everywhere, where it is needed.
3. It will trigger alarm in nearby police station and as well as main control room whenever any accident, crime or suspicious activity is detected by the system.
, Claims:We Claim:
1. A Multi-purpose Surveillance System using Machine Learning and Internet of things comprises Wi-Fi/GSM/RAF (101), Cloud Server (102), Main Control Room (103), Nearest Police Station (104), Surveillance Node 1 (105), Surveillance Node 2 (106); and Surveillance Node 3 (107).
2. The system as claimed in claim 1, wherein Multiple cameras are installed in such a way that covers the whole 360 degrees and these cameras are positioned or angled in such a way that they see the major area at once, where the drones are usually operated or accidents happen or other crimes are done.
3. The system as claimed in claim 1, wherein in case of drones, whenever any drone is detected, firstly it is identified if it’s even a drone or not with the help of machine learning.
4. The system as claimed in claim 1, wherein Once it’s confirmed that the detected object is a drone, then it is checked if the detected drone is authorized or not with the help of radar, artificial intelligence and machine learning and also using the data from the database of DGCA (Directorate General of Civil Aviation).
5. The system as claimed in claim 1, wherein if the detected drone will be an unauthorized drone, it displays the footage of the drone in the nearest police station and the main control room and those drone footages is stored in the database of the main control room.
6. The system as claimed in claim 1, wherein it displays the location of the drone in the google maps with a small circle indicating a range where the drone is detected.
7. The system as claimed in claim 1, wherein it also triggers an alarm in the nearest police station and the main control room and also at the place of where the device will be installed to alert the public that a drone is being detected nearby.
8. The system as claimed in claim 1, wherein the system surveillance and detect different kinds of accidents, crimes and whenever anything unwanted or dangerous activities will be detected, footage is recorded and sent it to the control room, along with the location and alert message, so that appropriate action can be taken by the authorities quickly.
9. The system as claimed in claim 1, wherein Multiple surveillance nodes will be installed in the whole state and every single surveillance node are have their own Unique ID and the main control room can access any surveillance node at any time with the help of their Unique ID.
10. The system as claimed in claim 1, wherein Real-time monitoring multi-purpose surveillance system is using Artificial Intelligence and Machine Learning; and Vision inspired multi-purpose surveillance system for real-time alert generation through Wi-Fi connectivity, artificial intelligence and machine learning.