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Intelligent Camera System Using Deep Learning And Cloud Server

Abstract: ABSTRACT INTELLIGENT CAMERA SYSTEM USING DEEP LEARNING AND CLOUD SERVER In this invention, the intelligent camera of the home for identifying the theft and disruption caused by intruders to the camera. The system automatically alerts the user regarding the intruders to the user through wireless communication. Here ‘n’ number of systems are deployed in the home and they are connected to the user through local server and cloud server. As shown in figure 2, the intelligent camera system automatically turns on when it detects the motion of any intruder through PIR sensor and motion radar. After that we any intruder is trying to disrupt the connection of camera, then the intelligent camera system uses RF modem to transmit the alerts to the cloud server through local server. The local server supports the RF communication and Wi-Fi module for stable communications between the local and cloud server. A deep learning module is attached to process the visuals of the intruder with the assistance of intel computing stick. It estimate whether it is intruder or any other person. The power source of the complete system is process through the solar based power supply.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
23 April 2023
Publication Number
21/2023
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
Parent Application

Applicants

UTTARANCHAL UNIVERSITY
ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA

Inventors

1. VANSH BHUTANI
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
2. RAKESH KUMAR
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
3. ARCHANA SAXENA
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
4. TILOTTAMA SINGH
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
5. HARPREET SINGH GREWAL
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
6. RAJESH SINGH
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
7. ANITA GEHLOT
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
8. DHARAM BUDDHI
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA
9. ABHISHEK JOSHI
UTTARANCHAL UNIVERSITY, ARCADIA GRANT, P.O. CHANDANWARI, PREMNAGAR, DEHRADUN - 248007, UTTARAKHAND, INDIA

Specification

Description:Title of The Invention
INTELLIGENT CAMERA SYSTEM USING DEEP LEARNING AND CLOUD SERVER
Field of the Invention
This invention relates to intelligent camera system using deep learning and cloud server
Background of the Invention
US9286781B2: Systems and methods for forecasting events can be provided. A measurement database can store sensor measurements, each having been provided by a non- portable electronic device with a primary purpose unrelated to collecting measurements from a type of sensor that collected the measurement. A measurement set identifier can select a set of measurements. The electronic devices associated with the set of measurements can be in close geographical proximity relative to their geographical proximity to other devices. An inter-device correlator can access the set and collectively analyze the measurements. An event detector can determine whether an event occurred. An event forecaster can forecast a future event property. An alert engine can identify one or more entities to be alerted of the future event property, generate at least one alert identifying the future event property, and transmit the at least one alert to the identified one or more entities.
JP6105667B2: The first processing function is further configured to detect when the number of physical proximity events within a predetermined time interval exceeds a predetermined activity threshold and adjust the proximity profile accordingly.
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 sensor base device installed at property which is self-sustained operated with help of solar panel and very backup. Security system provides 360 vigilances as well as sensing in side room and premises. Device is based on artificial intelligence and IOT which connected through web application. Device will provide real time information at different platform with help of application.
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.
Home security always breaches despite of installation of surveillance at building premises as well as inside .To develop a home security device that uses AI and multiple security components, including motion and radiation sensors, to provide real-time monitoring, threat detection, and prevention of unauthorized access or suspicious behavior in the home. By combining multiple security features and advanced technology, the device aims to provide a comprehensive and proactive approach to home security. All over to make a device that protect your home or any property secured by the help of AI, RF, Deep learning etc., Figure 1 illustrates the proposed system of intelligent camera of the home for identifying the theft and disruption caused by intruders to the camera. The system automatically alerts the user regarding the intruders to the user through wireless communication. Here ‘n’ number of systems are deployed in the home and they are connected to the user through local server and cloud server. As shown in figure 2, the intelligent camera system automatically turns on when it detects the motion of any intruder through PIR sensor and motion radar. After that we any intruder is trying to disrupt the connection of camera, then the intelligent camera system uses RF modem to transmit the alerts to the cloud server through local server. The local server supports the RF communication and Wi-Fi module for stable communications between the local and cloud server. A deep learning module is attached to process the visuals of the intruder with the assistance of intel computing stick. It estimate whether it is intruder or any other person. The power source of the complete system is process through the solar based power supply.
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:
Home security always breaches despite of installation of surveillance at building premises as well as inside .To develop a home security device that uses AI and multiple security components, including motion and radiation sensors, to provide real-time monitoring, threat detection, and prevention of unauthorized access or suspicious behavior in the home. By combining multiple security features and advanced technology, the device aims to provide a comprehensive and proactive approach to home security. All over to make a device that protect your home or any property secured by the help of AI, RF, Deep learning etc., Figure 1 illustrates the proposed system of intelligent camera of the home for identifying the theft and disruption caused by intruders to the camera. The system automatically alerts the user regarding the intruders to the user through wireless communication. Here ‘n’ number of systems are deployed in the home and they are connected to the user through local server and cloud server. As shown in figure 2, the intelligent camera system automatically turns on when it detects the motion of any intruder through PIR sensor and motion radar. After that we any intruder is trying to disrupt the connection of camera, then the intelligent camera system uses RF modem to transmit the alerts to the cloud server through local server. The local server supports the RF communication and Wi-Fi module for stable communications between the local and cloud server. A deep learning module is attached to process the visuals of the intruder with the assistance of intel computing stick. It estimate whether it is intruder or any other person. The power source of the complete system is process through the solar based power supply.
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.
Home security always breaches despite of installation of surveillance at building premises as well as inside .To develop a home security device that uses AI and multiple security components, including motion and radiation sensors, to provide real-time monitoring, threat detection, and prevention of unauthorized access or suspicious behavior in the home. By combining multiple security features and advanced technology, the device aims to provide a comprehensive and proactive approach to home security. All over to make a device that protect your home or any property secured by the help of AI, RF, Deep learning etc., Figure 1 illustrates the proposed system of intelligent camera of the home for identifying the theft and disruption caused by intruders to the camera. The system automatically alerts the user regarding the intruders to the user through wireless communication. Here ‘n’ number of systems are deployed in the home and they are connected to the user through local server and cloud server. As shown in figure 2, the intelligent camera system automatically turns on when it detects the motion of any intruder through PIR sensor and motion radar. After that we any intruder is trying to disrupt the connection of camera, then the intelligent camera system uses RF modem to transmit the alerts to the cloud server through local server. The local server supports the RF communication and Wi-Fi module for stable communications between the local and cloud server. A deep learning module is attached to process the visuals of the intruder with the assistance of intel computing stick. It estimate whether it is intruder or any other person. The power source of the complete system is process through the solar based power supply.
ADVANTAGES OF THE INVENTION:
• Multiple safety features: Home Secure 360 appears to have many safety features, such as AI motion detection, radar threat detection, and others. Having a variety of safety features can increase the chances of detecting potential threats and ensuring that your home is secure.
• Easy installation: The product's website claims that it is easy to install. This means that you do not need to hire a professional to set up the system, which can save you time and money.
• Remote monitoring: Home Secure 360 also offers remote monitoring capabilities, allowing you to keep an eye on your home from anywhere using a mobile device. This can provide peace of mind and help you respond quickly in case of an emergency.
• No monthly fees: Unlike some security systems that require monthly fees for monitoring, Home Secure 360 appears to be a one-time purchase without any additional fees.
• This can be a cost-effective option for homeowners who want to secure their homes without breaking the bank.
, Claims:We Claim:
1. An Intelligent camera system using deep learning and cloud server system comprises Computing Unit (10), 360-degree camera (11), PIR Sensor (12), Deep Learning Model (14) Battery Power Supply (15), Solar panel (16), LED (17), RF Module (18), Computing Stick (19).
2. The system as claimed in claim 1, wherein system automatically alerts the user regarding the intruders to the user through wireless communication.
3. The system as claimed in claim 1, wherein Here ‘n’ number of systems are deployed in the home and they are connected to the user through local server and cloud server.
4. The system as claimed in claim 1, wherein which is after that user any intruder is trying to disrupt the connection of camera, then the intelligent camera system uses RF modem to transmit the alerts to the cloud server through local server.
5. The system as claimed in claim 1, wherein which is consist oflocal server supports the RF communication and Wi-Fi module for stable communications between the local and cloud server.
6. The system as claimed in claim 1, wherein the intelligent camera system automatically turns on when it detects the motion of any intruder through PIR sensor and motion radar.
7. The system as claimed in claim 1, wherein the local server supports the RF communication and Wi-Fi module for stable communications between the local and cloud server.
8. The system as claimed in claim 1, wherein a deep learning module is attached to process the visuals of the intruder with the assistance of intel computing stick; which estimates whether it is intruder or any other person.
9. The system as claimed in claim 1, wherein the power source of the complete system is process through the solar based power supply.

Documents

Application Documents

# Name Date
1 202311029353-STATEMENT OF UNDERTAKING (FORM 3) [23-04-2023(online)].pdf 2023-04-23
2 202311029353-REQUEST FOR EARLY PUBLICATION(FORM-9) [23-04-2023(online)].pdf 2023-04-23
3 202311029353-POWER OF AUTHORITY [23-04-2023(online)].pdf 2023-04-23
4 202311029353-OTHERS [23-04-2023(online)].pdf 2023-04-23
5 202311029353-FORM-9 [23-04-2023(online)].pdf 2023-04-23
6 202311029353-FORM FOR SMALL ENTITY(FORM-28) [23-04-2023(online)].pdf 2023-04-23
7 202311029353-FORM 1 [23-04-2023(online)].pdf 2023-04-23
8 202311029353-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [23-04-2023(online)].pdf 2023-04-23
9 202311029353-EDUCATIONAL INSTITUTION(S) [23-04-2023(online)].pdf 2023-04-23
10 202311029353-DECLARATION OF INVENTORSHIP (FORM 5) [23-04-2023(online)].pdf 2023-04-23
11 202311029353-COMPLETE SPECIFICATION [23-04-2023(online)].pdf 2023-04-23
12 202311029353-FORM 18 [15-06-2025(online)].pdf 2025-06-15