Description:Title of The Invention
SYSTEM OF DRONE WITH EDGE GATEWAY FOR PUBLIC PLACE SECURITY DEVICE USING LORA RF MODULE
Field of the Invention
This invention relates to system of drone with edge gateway for public place security device using LoRa RF module
Background of the Invention
CN202257879U: The utility model relates to an intelligentized safety monitoring system for a residential area. The intelligentized safety monitoring system is characterized by comprising a video safety monitoring system, a visible building talkback system, a parking lot management system, a circumference guard system, a night patrol system and the like, wherein the video safety monitoring system comprises a video camera, an audio monitoring device, a network video server, a switchboard, a storage server, a monitoring platform and the like; the visible building talkback system comprises a visible unit gate machine, an indoor submachine, an electrically controlled lock, a door closer, a communication transmission unit and a management center host machine; and the parking lot management system comprises a charging management computer, an entrance control machine, an exist control machine, an entrance road barrier, an exist road barrier, image comparison equipment, an entrance video camera, an exist video camera and a vehicle detector. A whole strict and scientific public security system is supplied to a user; and the conventional passive and unit-type guard is changed into active and networked intelligentized guard, so that a crime can be found and stopped accurately and quickly.
CN110428522B: The invention belongs to the technical field of security equipment manufacturing, and particularly relates to an intelligent security system of a smart new city. The access control system is a 4G face snapshot camera arranged at a bayonet position of an important area and used for realizing face snapshot with ultrahigh density, the camera collects face dynamic pictures at fixed frequency under the condition of not directly contacting with equipment, and a face recognition algorithm is applied to a face image detected by each frame; an intelligent face recognition algorithm module is embedded in the 4G face snapshot camera, and face recognition is realized at the front end of the camera; the 4G face snapshot camera with the embedded intelligent face recognition algorithm module processes collected data nearby on the front-end camera equipment on the edge side, provides near-end service on one side of a data source, and an application program is initiated on the edge side, so that a faster network service response can be generated, time delay and transmission cost are reduced.
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 the public place security device will be connected to the drone with multiple features and monitoring process will work automatically at different locations at the same time. The multiple features include remote monitoring, Facial Recognition Features, Alerting Features etc. It will give you more clarity as compare to CCTV, Speedometer, etc. In crowded areas. The Facial Recognition will help control authority and security forces, by monitoring people at crowded areas, with the help of this device the public will be more secure as compare to present scenario. Many studies shows that humans are productive only about3 to 4 hours in a day, but AI device \ ADVANCE Technology devices can work endlessly without breaks. It shows that, it will save time and energy both and will make work easy and accurate, without any false information including proof. It works by sending a signal alarm monitoring centre on ‘activation’ i.e. when unauthorized moment is detected onsite. The invention belongs to both Technical and non-technical field for public place security purpose with the help of smart platform. The facial features algorithms will be applied to the device , it involves the use of algorithms to identify and verify a person’s identity based on their facial features , it uses machine learning algorithms to compare and analyze those unique facial features to the data base of non faces that identify an individual . The drone consist of 5G Face snapshot camera. This will Improve and enhance the security, the facial recognition has various applications including security, surveillance and access control.
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.
In this invention is consists of controller for drone 1 , 2 & n number of drone’s in different location’s [Location 1 , 2 , 3 etc.] , EDGE GATE way , long range wireless RF [Radio Frequency] signal , control authority, security forces , internet , alert features . It is clear that , this device is for security purpose , due to the increase in the population , the crime and death rate is also increasing in public areas and by analyzing the whole scenario , we have proposed a system in which, we will fly drone’s in different locations and that drone will pass the information automatically to EDGE GATE WAY , and after analyzing each and everything , it will pass the information to the control authority and then the control authority will inform to security forces if any mishappening will happen. Controller Unit , Long RF [ Radio Frequency ] signal, Deep Learning Module, co-processor, External Power Supply, Wi-Fi, HD Camera Module, Thermal Camera. From this figure we can see that all the parameters and modules are connected to the controller unit. They all will pass the information with the help of wireless connection. The HD camera module and the thermal camera module will monitor the people it will give you each and every small information by notifying you in the application. By applying thermal camera feature in the drone we can do so many thing including industrial inspections , also used in wide range of application. It is the best heat vision cameras for drone. RF module will be used for wireless alarm, monitoring system, smart sensor etc. This will save your time and energy .The Deep Learning Module is subfiled of machine learning concerned with algorithms inspired by structure and function of the brain called artificial neural networks. This will give you more clarity as compared to the CCTV, Speedometer etc. We cannot find the exact solution regarding safety of public but at least we can do something to control all these mishappenings.
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 consists of Controller for Drone 1 , 2 & n number of drone’s in different location’s [Location 1 , 2 , 3 etc.] , EDGE GATE way , long range wireless RF [Radio Frequency] signal , control authority , security forces , internet , alert features . From the figure 1, it is clear that , this device is for security purpose , due to the increase in the population , the crime and death rate is also increasing in public areas and by analyzing the whole scenario , we have proposed a system in which, we will fly drone’s in different locations and that drone will pass the information automatically to EDGE GATE WAY , and after analyzing each and everything , it will pass the information to the control authority and then the control authority will inform to security forces if any mishappening will happen. Fig. 2 consists of : Controller Unit , Long RF [ Radio Frequency ] signal, Deep Learning Module, co-processor, External Power Supply, Wi-Fi, HD Camera Module, Thermal Camera. From this figure we can see that all the parameters and modules are connected to the controller unit. They all will pass the information with the help of wireless connection. The HD camera module and the thermal camera module will monitor the people it will give you each and every small information by notifying you in the application. By applying thermal camera feature in the drone we can do so many thing including industrial inspections , also used in wide range of application. It is the best heat vision cameras for drone. RF module will be used for wireless alarm, monitoring system, smart sensor etc. This will save your time and energy .The Deep Learning Module is subfield of machine learning concerned with algorithms inspired by structure and function of the brain called artificial neural networks. This will give you more clarity as compared to the CCTV, Speedometer etc. We cannot find the exact solution regarding safety of public but at least we can do something to control all these mishappenings.
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.
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.
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.
In this invention is consists of controller for drone 1 , 2 & n number of drone’s in different location’s [Location 1 , 2 , 3 etc.] , EDGE GATE way , long range wireless RF [Radio Frequency] signal , control authority, security forces , internet , alert features . It is clear that , this device is for security purpose , due to the increase in the population , the crime and death rate is also increasing in public areas and by analyzing the whole scenario , we have proposed a system in which, we will fly drone’s in different locations and that drone will pass the information automatically to EDGE GATE WAY , and after analyzing each and everything , it will pass the information to the control authority and then the control authority will inform to security forces if any mishappening will happen. Controller Unit , Long RF [ Radio Frequency ] signal, Deep Learning Module, co-processor, External Power Supply, Wi-Fi, HD Camera Module, Thermal Camera. From this figure we can see that all the parameters and modules are connected to the controller unit. They all will pass the information with the help of wireless connection. The HD camera module and the thermal camera module will monitor the people it will give you each and every small information by notifying you in the application. By applying thermal camera feature in the drone we can do so many thing including industrial inspections , also used in wide range of application. It is the best heat vision cameras for drone. RF module will be used for wireless alarm, monitoring system, smart sensor etc. This will save your time and energy .The Deep Learning Module is subfield of machine learning concerned with algorithms inspired by structure and function of the brain called artificial neural networks. This will give you more clarity as compared to the CCTV, Speedometer etc. We cannot find the exact solution regarding safety of public but at least we can do something to control all these mishappenings.
ADVANTAGES OF THE INVENTION:
• This application will provide you time to time useful information, which will make you fell safe and secure.
• GPS for detecting the location of drone and the person using the application as well, there is deep learning module as well in the controller unit of drone.
• The drone will be connected with the help of Wireless RF [Radio Frequency] signal in the long range and then after analyzing from EDGE GATE WAY the information will be pass to control authority through Internet.
• If we will monitor people continuously with the help of Advanced Technology then the crime rate will fall and everyone will fell safe [ Especially girls who are not safe in today’s world].
• Benefits of adding multiple features are = Enhanced Security, time saving, efficient inspection, makes work easier and secure, most importantly it can monitor those areas that are more risky.
, C , Claims:We Claim:
1. A System of drone with edge gateway for public place security device using LoRa RF module system comprises withA plurals of Controller for Drone (10, 11Edge Gateway (13), Control Authority (14), Security Forces (15), Controller Unit (20), HD Camera module (21), Thermal Camera module (22), Long Range Module (23), Deep Learning Module (24), Co-processor (25), WiFi Module (26), and External Power Supply (27).
2. The system as claimed in claim 1, wherein the cloud storage subsystem comprises a video data module and an intelligent equipment data storage module; the alarm system comprises an abnormal alarm module; the public management platform comprises a video management platform; according to a preset strategy, all the systems perform linkage cooperative work, and hardware equipment, a video management platform, mass data and an intelligent AI analysis algorithm are combined with a communication cloud to realize an intelligent security system.
3. The system is claimed in claim 1, wherein intelligent face recognition algorithm module is embedded in the 5G face snapshot camera, face recognition is achieved at the front end of the camera, the 5G face snapshot camera collects face images at fixed frequency, irrelevant image information can be filtered out by the intelligent face recognition algorithm module, only images containing the face images are reserved for processing, and image data are transmitted to a communication cloud end through a 5G network for storage.
4. The system as claimed in claim 1, wherein intelligent equipment in a typical area scene forms a local area network through a router, a monitoring area comprises areas including an enclosure, an important entrance and exit, an elevator, a corridor, an important road and an underground warehouse.
5. The system as claimed in claim 1, wherein an alarm system needs to be linked with an infrared alarm, a smoke alarm, an access control system and a monitoring system, if abnormity is detected, an alarm sound is generated through a loudspeaker immediately, different electronic fence grades are set in the important monitoring area, when abnormal behaviours and abnormal events of an area invader or an electronic fence crossing are detected, a popup window alarm occurs on a video management platform.
6. The system as claimed in claim 1, wherein the access control face recognition set at the important entrance and exit is carried out, and once an alarm access control condition is reached, the alarm system can be automatically triggered.