1. A fully automated Internet of Things Cloud based system that would provide a platform to the CCTV users, the system adapted to perform the method steps automatically comprising: monitoring the health of one or more CCTV systems; maintaining the serviceability logs; generating the malfunctioning alerts to the user/service providers/Authorities to bring in a big change in the way the CCTV systems are managed in the smart city crime governance; checking on the downtime and uptime; and escalating way of generating alerts.

2. The system as claimed in claim 1, comprising enabling to map CCTV systems.

3. The system as claimed in claim 1, wherein the system is adapted to perform video monitoring or control center without any human intervention.

4. The system as claimed in claim 1, comprising enabling the users/product manufactures across the spectrum to analyze the functioning of the systems in correlation with other factors like environment etc.

5. The system as claimed in claim 1, wherein the system is adapted to manage both Analogue based CCTV and IP based CCTV, wherein the system develops Artificial Intelligence based data analysis for predictive maintenance and likely pattern

6. The system as claimed in claim 1, wherein the system is adapted to create multiple group based tracking rules to cater for larger sites and bring in redundancy.

7. The system as claimed in claim 1, wherein the system is adapted to check the Cameras through the recorder and failing that check the camera directly if they are IP based cameras.

8. The system as claimed in claim 1, wherein the system is adapted to take and store the snapshots of the cameras for later use as forensic data.

9. The system as claimed in claim 1, wherein the system is adapted to detect the camera blockages and report image blackouts/blockades.

10. The system as claimed in claim 1, wherein the system is adapted to provide the failure information in co-relation with the other external factors like Weather, usage conditions etc.

Field of Invention
The present invention relates to a fully automated Internet of Things Cloud based system that would provide a platform to the CCTV users in general to automatically monitor the health of their CCTV systems, maintain the serviceability logs, generate the malfunctioning alerts to the user/service providers/Authorities to bring in a big change in the way the CCTV systems are managed in the smart city crime governance. This invention is not a CCTV physical video monitoring system but is a remote cloud based diagnostic system with automatic follow up system without any establishment of any control center. Further this invention will enable the Law enforcement agencies to map and keep tag of the city privately held CCTV systems earmarked as critical for serviceability. Further this invention will enable the product manufactures across the spectrum to analyze the functioning of their systems in aggregation with other factors.
Background of the Invention
There has been proliferation of the CCTV network across the cities which includes private users i.e. individuals, private bodies like market associations, factories, buildings etc and law enforcing agency installations. It has been observed, especially post incidence that either the cameras are not working or there was no recording or the recording was tampered. This results in loss of precious information both for private parties and the law enforcing agencies. Moreover the role of private CCTV systems is equally crucial for law enforcing agencies. Law enforcing agencies do make use of private CCTV network to crack the crimes. High end systems do have their own inbuilt diagnostic systems through video streaming interceptions. However there are no such Diagnostic System which can provide the health status of the CCTV systems used across the cities and carry out aggregation of the data so collected. Hence there is a need to design a cloud based system that would scan the CCTV systems across the spectrum and enable the serviceability logging of the system with alerts and also map the CCTV systems of a city.

Objects Of The Invention
Objective One : To provide a centralized Internet of Thing cloud based platform to general users to keep a check of their CCTV systems across the disparate product lines without establishing any physical video monitoring or control center.
Objective Two: Send the alerts to all the stake holders in case of any malfunctioning of the cameras or the system as such.
Objective Three: To maintain the logs with snapshots for later analyses to ensure that any subsequent tampering with the system can be counterchecked with the recorded logs/images.
Objective Four: Assist in mapping the CCTV systems deployed on the smart city grid thereby enabling the law enforcing agencies to identify the critical areas to receive the malfunctioning alerts.
Objective Five: Get aligned with the service providers to send them service reports and malfunctioning alerts for quick logging and redress.
Objective Six: Share product performance with the product manufactures
Objective Seven: Get aligned with the law enforcing agencies if need be to send them malfunctioning alerts of the identified critical CCTV systems and also maintain the data for forensic analysis.
Objective Eight: To carry out data analysis leading to artificial intelligence for better predictive maintenance of the systems on corroboration with the external elements like weather, geographical locations, usage behavior etc.

SUMMARY
An embodiment of the present invention describes a fully automated Internet of Things Cloud based system that would provide a platform to the CCTV users. The system is adapted to perform the method steps automatically comprising monitoring the health of one or more CCTV systems, maintaining the serviceability logs, generating the malfunctioning alerts to the user/service providers/Authorities to bring in a big change in the way the CCTV systems are managed in the smart city crime governance, checking on the downtime and uptime, and escalating way of generating alerts.
According to an embodiment of the present invention, the system is adapted to enable to map CCTV systems.
According to an embodiment of the present invention, the system is adapted to perform video monitoring or control center without any human intervention.
According to an embodiment of the present invention, the system is adapted to enable the users/product manufactures across the spectrum to analyze the functioning of the systems in correlation with other factors like environment etc.
According to an embodiment of the present invention, the system is adapted to manage both Analogue based CCTV and IP based CCTV. The system develops Artificial Intelligence based data analysis for predictive maintenance and likely pattern.
According to an embodiment of the present invention, the system is adapted to create multiple group based tracking rules to cater for larger sites and bring in redundancy.
According to an embodiment of the present invention, the system is adapted to check the Cameras through the recorder and failing that check the camera directly if they are IP based cameras.
According to an embodiment of the present invention, the system is adapted to take and store the snapshots of the cameras for later use as forensic data.

According to an embodiment of the present invention, the system is adapted to detect the camera blockages and report image blackouts/blockades.
According to an embodiment of the present invention, the system is adapted to provide the failure information in co-relation with the other external factors like Weather, usage conditions etc.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
Figure 1 shows the architecture of the system and the application layers connectivity with external actors according to an embodiment of the present invention.
Figure 2 depicts the implementation Modes both over the air and through the local hardware in case of non supporting systems according to an embodiment of the present invention.
Figure 3 depicts the flow chart of the invention according to an embodiment of the present invention.
Figure 4 displays the top level context diagram with input and output characters according to an embodiment of the present invention. The inputs are the static data about the users and the notifications receivers and continuous status signals from the CCTV system.
Figure 5 displays the level one context diagram showing the two major components of the system according to an embodiment of the present invention.
Figure 6 shows a Data Flow Diagram according to an embodiment of the present invention.
Figure 7 shows the set up form according to an embodiment of the present invention.
Figure 8 shows the visualization Data.

DETAILED DESCRIPTION OF THE DRAWINGS
The example embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The description herein is intended merely to facilitate an understanding of ways in which the example embodiments herein can be practiced and to further enable those of skill in the art to practice the example embodiments herein. Accordingly, this disclosure should not be construed as limiting the scope of the example embodiments herein.
The Invention is envisaged and designed to act as an active listener of any CCTV system over the Air to detect malfunctioning and send alerts to all relevant people like the owner, law enforcing agencies or the service providers as the case may be. It furthers assist in mapping the city cameras and analyzing the serviceability status of the CCTV system for proactive actions.
Figure 1 shows architecture of a system and application layers connectivity with external actors. The cloud application store and processes the data. The system takes the action based on business rules like sending notifications to the owner and other stake holders like law enforcing agencies and service providers for maintenance call. This part will be able to connect through the common messaging gateways such as SMS, Whatsapp, and Telegram etc with the stake holders.
In one embodiment, the system disclosed in the present invention includes a processing unit and a memory unit. The processing unit is adapted to perform one or more actions based on one or more instructions stored in the memory unit.
Figure 2 depicts the implementation Modes both over the air and through the local hardware in case of non supporting systems according to an embodiment of the present invention. Direct over the air or through the Black Box in case of unsupported systems.

According to an embodiment of the present invention, the Black Box connects with the CCTV in two ways:-
1. Through the Router using the Ethernet ports
2. Through the Router using the Wi-Fi interj ection.
3. Through the Video out of the D VR/NVR
According to an embodiment of the present invention, the Black Box communicates with the cloud application in two ways:-
1. Using the cabled internet via Router
2. In case cabled internet fails or where there is no cabled internet, through the GSM network
Figure 3 depicts the flow chart of the invention according to an embodiment of the present invention. The system takes the inputs from the stakeholders and the CCTV devices and analyzes the information at two levels: one instant check and reporting and other collation of historical data and analysis. The system receives and stores the ownership and stake holder's information as one time editable data. The CCTV inputs are ingested at regular intervals. The output is in the form of alerts and notifications to all the stake holders as shown apart from report generation. The system also carries out data analysis to predict the system likely down time.
Figure 4 displays the top level context diagram with input and output characters according to an embodiment of the present invention. The inputs are the static data about the users and the notifications receivers and continuous status signals from the CCTV system. Figure 4 depicts the ingress and egress actors of the system.
Figure 5 displays the level one context diagram showing the two major components of the system according to an embodiment of the present invention. The System is divided into two major components as illustrated in Level one context diagram in FIGURE 5:
1. The data scanner process, residing on cloud or a local hardware unit (together called Black Box). The main function of this is to scan the CCTV system and send the

information to the Analysis Application at regular intervals. The transmission can be over the cabled internet connection or over the GSM network. Accordingly Black Box will be available in two models i.e. with and without GSM slot.
2. The cloud based analysis application is the processing software meant to process the information and generate the alerts/reports as discussed earlier.
The invention logs in to the recorder, remotely or locally. It then intercepts the cameras streams, stores the snapshots, analyses the images for any blackouts and then sends the alerts. It also checks on the recording and generates reports/alerts if recording is not being done.
In case the recorder is faulty then the invention directly tries to intercepts the cameras.
The invention can handle both analogue and IP based CCTV systems.
There are two types of files:
• User created files- Created by user at the time of filling the form
• Processed Data files: created/updated after tracking a group
User Created files:
1. sensordata.csv: stores all the data about each sensor. This data is used by main module to get the details of all the sensors
2. Trackingrules.csv: stores all the tracking rules for each group. This data is used by main module to get tracking rules of a group to track it.
3. Listenerdetails.csv: stores data about all the assigned listeners. This data is used by main, camera and recorder module to send alerts to assigned listener(s).
4. Alertrules.csv: stores all the alert rules for each listener. This data is used by main, camera and recorder module to check if listener is supposed to get alerts.

5. Repeat.csv: has only two fields to store repeat (field of alertrules ) and how many repeats are left. This module is used by main, camera and recorder module to check if alert is still to be sent.
Processed Data files:
1. Trackingrecord.csv: stores all the tracking record for each sensor. It gets updated after every tracking (of a group)
2. Alertrecord.csv: stores all the all the alert record for each listener. It gets updated after every tracking (of a group)
3. Estrackrecord.csv: stores last tracking data and uploads it to Elastic search. If upload succeeds, it clears its data else keeps it for next iteration.
4. Esalertrecord.csv: stores last alert data and uploads it to Elasticsearch. If upload succeeds, it clears its data else keeps it for next iteration.
Figure 6 shows a Data Flow Diagram according to an embodiment of the present invention. In this embodiment, a flow of data among various devices such as camera, recorder etc is depicted along with type of data.
Figure 7 shows the set up form according to an embodiment of the present invention
1.1 Set up Process. This process is used to initialize the system by taking in the various inputs about the CCTV system, the ownership data, various rules and the Info sharing data. FIGURE 7 shows the input form. These are stored into a database and read by the GET DATA routine.
a. Sensor Data: DVR ID, Number of Cameras, Camera locations etc
b. Listeners Data: Who all will receive the alerts

c: Tracking Rules: How the tracking will be done
d: Alert Rules : How and when the alerts will be send to the listeners
1.2 Track Module. This routine initiates the tracking of cameras and the recorders.
1.3 Camera Module. This module scans the camera directly, take the snap shots and sends out the alerts as per the alert rules.
1.4 Recorder Module. This module scans the recorder and the cameras, take snap shots and generate alerts.
1.5 Data Mapping Module. This module is used to upload the data to the Elastic Search database.
1.6 Visualization Module. This module utilizes KXBANA for the data visualization. Few Visualization charts are shown at FIGURE 8.
1.7 Data Analysis & AI Process. This module analyses the scanned data It also removes any redundancy of data. This process also has AI engine inbuilt to generate pre¬emptive alerts based on the machine learning process.
1.8 Query & Report Generation Process. This module enables the MIS report generations about the downtime analysis of the CCTV systems, historical data, who all were send the information and at what time the CCTV system was made serviceable. The reports can be graphical or textual.
The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the

phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.

We claim:
1. A fully automated Internet of Things Cloud based system that would provide a platform
to the CCTV users, the system adapted to perform the method steps automatically
comprising:
monitoring the health of one or more CCTV systems;
maintaining the serviceability logs;
generating the malfunctioning alerts to the user/service providers/Authorities to bring in a big change in the way the CCTV systems are managed in the smart city crime governance;
checking on the downtime and uptime; and
escalating way of generating alerts.
2. The system as claimed in claim 1, comprising enabling to map CCTV systems.
3. The system as claimed in claim 1, wherein the system is adapted to perform video monitoring or control center without any human intervention.
4. The system as claimed in claim 1, comprising enabling the users/product manufactures across the spectrum to analyze the functioning of the systems in correlation with other factors like environment etc.
5. The system as claimed in claim 1, wherein the system is adapted to manage both Analogue based CCTV and IP based CCTV,
wherein the system develops Artificial Intelligence based data analysis for predictive maintenance and likely pattern
6. The system as claimed in claim 1, wherein the system is adapted to create multiple group based tracking rules to cater for larger sites and bring in redundancy.
7. The system as claimed in claim 1, wherein the system is adapted to check the Cameras through the recorder and failing that check the camera directly if they are IP based cameras.
8. The system as claimed in claim 1, wherein the system is adapted to take and store the snapshots of the cameras for later use as forensic data.
9. The system as claimed in claim 1, wherein the system is adapted to detect the camera blockages and report image blackouts/blockades.

10. The system as claimed in claim 1, wherein the system is adapted to provide the failure information in co-relation with the other external factors like Weather, usage conditions etc.