Description:3. PREAMBLE OF THE DESCRIPTION
The following specification particularly describes the invention and the manner in which it is to be performed

Title of The Invention
INTELLIGENT AI & ML BASED SYSTEM FOR SURVEILLANCE, INCIDENT REPORTING, VISUAL PATROLLING WITH LORA MODULE
Field of the Invention
This invention relates to intelligent AI & ML based system for surveillance, incident reporting and visual patrolling.
Background of the Invention
KR20220129250A: After Dong, Lee Ho Dong; According to the present invention, real-time patrol of the external environment of a building is performed 24 hours a day using a drone and a robot, and 24 hours real-time monitoring of the inside of the building using CCTV and sensors enables more thorough crime prevention, as well as the cost of crime prevention. It relates to a smart unmanned crime prevention system using AI-based drones and robots that can save time and money. By implementing artificial intelligence algorithms using sensing data, it is possible to automatically check for abnormalities, send drones and robots to abnormal points, and check the situation at the point in real time from the control room, so that a more confirmed crime prevention system can be built. It is about a smart unmanned crime prevention system using an AI-based drone and robot.
KR101995107B1: Noh Yong-man, Kim Seong-tae, Kim Hyeong-il, Jang Jin-hyeok; An artificial intelligence based video surveillance method and system using deep learning is disclosed. The artificial intelligence based video surveillance system according to an embodiment of the present invention includes a detector for detecting at least one object preset for a surveillance camera image using a predefined sensing deep learning network; A recognition unit for recognizing information about the detected object based on a detection result for the object; And a tracking unit for tracking the detected object based on a predefined tracking deep learning network and a detection result for the detected object, wherein the detecting unit detects a heat map based on a convolution neural network (CNN) the object can be detected using a region proposal extraction including a heat map generation method.
US20200007409A1: Kwi Hoon KIM, Wan Seon Lim, Yong Geun Hong; An intelligent Internet of everything (IoE) edge computing system for a high reliable Internet of thins (IoT) service is provided. The intelligent IoE edge computing system for high reliable IoT services according to the present invention provides a modularized intelligent IoT framework for various applications and has a technical feature in that intelligent traffic analysis and prediction is performed.
US8548231B2: Vinay Damodar Shet, Maneesh Kumar Singh, Claus Bahlmann, Visvanathan Ramesh, Stephen P. Masticola, Jan Neumann, Toufiq Parag, Michael A. Gall, Roberto Antonio Suarez; First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grammars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man-made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.
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 proposed a system which provides the facility of real-time surveillance of various locations as well as it includes the facilities like tracking using AI based drone system, connection with cloud, transmission of information using LoRa module.
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.
There are several states in India, like Kerala, Bihar, Maharashtra, Delhi, etc. where the crime rate is high a large number of crimes occur mainly at public areas or open areas where it is hard for both police as well as for ambulance to get is time. Also it is not easy for police to maintain proper surveillance of such areas. The present invention proposed a system which provides the facility of real-time surveillance of various locations as well as includes facilities such as tracking using AI based drone system, connection with cloud, transmission of information using LoRa module.
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:
The present invention proposed a system which provides the facility of real-time surveillance of various locations as well as includes facilities such as tracking using AI based drone system, connection with cloud, transmission of information using LoRa module. Figure 1 illustrated the surveillance part of the invention. A system of CCTV cameras (100) is setup at various locations along with AI deep learning module (101), connection with cloud (102), power source (103), co-processor (104), control unit (105), drone (106), etc. Figure 2 illustrates the tracking part of the invention. Each surveillance system is equipped with AI embedded drone systems (106) which consist of obstacle sensing (109), camera (110), GPS tracking module (111), silent motors, etc. At the same time the incident takes place the drone system is activated and according the information provided by the control unit, system the start to track the main culprit. During the tracking process, live visual of the incident is shared with the nearest police facility and as well as the location of the culprit by the drone using the GPS module. The drone also consists of obstacle sensing and can be controlled by both AI and as well as manually. It consists a range of up to 20 km, speed from 100 – 120 km/hr, 8 mega pixel 360 degree views cameras, flight time nearly 60 – 90 min, dual power source, etc. This drone can also be used for casual surveillance of the nearby area.
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.
Figure 1 illustrated the surveillance part of the invention. A system of CCTV cameras (100) is setup at various locations along with AI deep learning module (101), connection with cloud (102), power source (103), co-processor (104), control unit (105), drone (106), etc. The CCTV cameras (100) will continuously monitor the activities occurring in the location along with the help of sensors for efficient surveillance and sends the data to the control unit (105) where it is analyzed. Whenever a violent activity takes place at that area the control unit (105) will immediately send the information the main control centre and from there the information will be forwarded to nearest police station as well contact the hospital if injury of some individual takes place. At the same time a siren (107) is used to aware the people present at that area ant the information is also uploaded to cloud server for future analyzation of data. All surveillance systems are interconnected through Lora module for efficient exchange of information. The entire system is powered with the help of dual power source (103) and is controlled through Programmable Logic Controller (PLC) (108). Figure 2 illustrates the tracking part of the invention. Each surveillance system is equipped with AI embedded drone systems (106) which consist of obstacle sensing (109), camera (110), GPS tracking module (111), silent motors, etc. At the same time the incident takes place the drone system is activated and according the information provided by the control unit (105) the start to track the main culprit. During the tracking process, live visual of the incident is shared with the nearest police facility and as well as the location of the culprit by the drone using the GPS module (111). The drone also consists of obstacle sensing (109) and can be controlled by both AI and as well as manually. Real time surveillance of various locations and instant transmission of data through Lora module is possible using the present model. AL & ML technology is used for efficient surveillance and tracking.
 
, Claims:1. Intelligent AI & ML based system for surveillance, incident reporting, visual patrolling with LoRa module system is comprises with the use of AI & ML along with Lora WAN module for efficient surveillance and data transmission.
2. The system is claimed in claim 1, wherein which is consist of Real time visuals and location provided by AI embedded drone system.
3. The system is claimed in claim 1, wherein which is consist of different surveillance systems all interconnected through Lora module to share information.
4. The system is claimed in claim 1, wherein which is consist of real time surveillance of various locations and instant transmission of data through Lora module.
5. The system is claimed in claim 1, wherein which is consist of the information, which is uploaded to cloud and can be used for future analysis.