Field of the Invention
This invention relates to deep Learning based vision device for monitoring the Unusual activities in the hostel room with Internet of things
Background
CN106056729A: The invention discloses an entrance guard system based on a face recognition technology. The entrance guard system comprises a control unit, an identity identification unit, an identity confirmation unit, a storage unit, a warning unit and an electronic lock, wherein the identity identification unit, the identity confirmation unit, the storage unit, the warning unit and the electronic lock are respectively connected with the control unit; the identity identification unit is connected with the identity confirmation unit and is used for reading identity card information; the identity card is in two kinds including a working personnel card and a visitor card; the working personnel cards are held by work personnel; the visitor cards are held by visitors who are not working personnel; the identity confirmation unit comprises a camera module and an image analysis module; the camera module is used for shooting the face image of a card holder; the image analysis module comprises a face image processing sub module, a face detection sub module, a face feature extraction sub module and a face comparison sub module; the storage unit is used for storing visitor accessing records. The face recognition technology is combined with the entrance guard system; the severe influence of attendance record counterfeiting by card punching by other employees in a company is effectively avoided; the potential safety hazards of illegal invasion by embezzlement of identity cards of others is avoided; high real-time performance is realized on the premise of ensuring the identification rate.
Research Gap:
• This invention is only for the purpose of the security at the entrance gate.
• It is implemented for the purpose of general security system for the entrance at various location. There is no any discussion regarding the hostel security is addressed.
CN109064597A: The invention discloses a kind of campus dormitory access control systems, including camera, analysis module, image collection module, data comparing module, database, data analysis module, controller, display, memory, illumination inductor, lighting module and access control module database is used for student's facial image of all students of this of real-time storage dormitory building The present invention can get the real-time head image information of student by camera and image collection module in real time, later by data comparing module and database can compare in real time this dormitory student and compare to it is consistent when by transferring signals to data analysis module; Whether be picture or student, can open gate inhibition by controller when data analysis module analyzes consistent later if being analyzed simultaneously by analysis module before the video simultaneously by the setting of illumination inductor and lighting module, enable the present invention light than it is darker when automatically open illumination convenient for monitoring.
Research Gap:
• This invention provided a system for accessing the dormitory of the students.
• This system have not addressed the real-time monitoring of students movement and unusual activities through camera.
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 inventor proposes a novel idea for hostel safe and secure university hostel premises. With the help of various sensors like smoke detector, sound detecting sensors, body heat sensors the hostel authorities will be able to monitor the activities of the students when they are inside their rooms. Vision based node comprises of multiple cameras, where it sense the motion of the students in the room.
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.
Currently, most of the students reside in the university hostel campus for better security as they are far away from the home. The security of the student plays a crucial role for the students and their parents. Monitoring of unusual activities like smoking, ragging, theft etc. is required for overcoming the further loss. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. In this invention, proposes a novel idea for hostel safe and secure university hostel premises. With the help of various sensors like smoke detector, sound detecting sensors, body heat sensors the hostel authorities will be able to monitor the activities of the students when they are inside their rooms. Vision based node comprises of multiple cameras, where it sense the motion of the students in the room. As it is trained with DL model, it is able to analyze the motion and identify whether the students are fighting, ragging or in normal state. In case if the vision node concludes that there is ragging and fighting then it immediately communicates the information to the hostel authorities through cloud server dashboard. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. Modules edge-based vision node with DL along with a Wi-Fi connection, RFID sensor, display and computing unit are backed up by a battery. Further all these units are connected to a cloud server unit that can directly be accessed by the hostel authorities and can be communicated to the parents if required. The proposed invention also fulfills the requirement the student’s attendance monitoring as the RFID will scan each individual student at the entrances and exit time.
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; currently, most of the students reside in the university hostel campus for better security as they are far away from the home. The security of the student plays a crucial role for the students and their parents. Monitoring of unusual activities like smoking, ragging, theft etc. is required for overcoming the further loss. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. In this invention, the inventor proposes a novel idea for hostel safe and secure university hostel premises. With the help of various sensors like smoke detector, sound detecting sensors, body heat sensors the hostel authorities will be able to monitor the activities of the students when they are inside their rooms. Vision based node comprises of multiple cameras, where it sense the motion of the students in the room. As it is trained with DL model, it is able to analyze the motion and identify whether the students are fighting, ragging or in normal state. In case if the vision node concludes that there is ragging and fighting then it immediately communicates the information to the hostel authorities through cloud server dashboard. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. Modules edge-based vision node with DL along with a Wi-Fi connection, RFID sensor, display and computing unit are backed up by a battery. Further all these units are connected to a cloud server unit that can directly be accessed by the hostel authorities and can be communicated to the parents if required. The proposed invention also fulfills the requirement the student’s attendance monitoring as the RFID will scan each individual student at the entrances and exit time. Currently, most of the students reside in the university hostel campus for better security as they are far away from the home. The security of the student plays a crucial role for the students and their parents. Monitoring of unusual activities like smoking, ragging, theft etc. is required for overcoming the further loss. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. In this invention, proposes a novel idea for hostel safe and secure university hostel premises. With the help of various sensors like smoke detector, sound detecting sensors, body heat sensors the hostel authorities will be able to monitor the activities of the students when they are inside their rooms. Vision based node comprises of multiple cameras, where it sense the motion of the students in the room. As it is trained with DL model, it is able to analyze the motion and identify whether the students are fighting, ragging or in normal state. In case if the vision node concludes that there is ragging and fighting then it immediately communicates the information to the hostel authorities through cloud server dashboard. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. Modules edge-based vision node with DL along with a Wi-Fi connection, RFID sensor, display and computing unit are backed up by a battery. Further all these units are connected to a cloud server unit that can directly be accessed by the hostel authorities and can be communicated to the parents if required. The proposed invention also fulfills the requirement the student’s attendance monitoring as the RFID will scan each individual student at the entrances and exit time. Figure 2 illustrates the edge-based vision node in which the multiple 360 camera module are connected to the deep learning (DL) computing unit (10). This camera modules provides the motion data of the students in the hostel room to the DL computing unit. Co-processor such as neural computing stick2 is connected to DL computing unit for boosting the computation power to process the video data. Wi-Fi module is used to connect vision node to internet connectivity and share the data on the cloud server.
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. Currently, most of the students reside in the university hostel campus for better security as they are far away from the home. The security of the student plays a crucial role for the students and their parents. Monitoring of unusual activities like smoking, ragging, theft etc. is required for overcoming the further loss. Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents.
In this invention, proposes a novel idea for hostel safe and secure university hostel premises. With the help of various sensors like smoke detector, sound detecting sensors, body heat sensors the hostel authorities will be able to monitor the activities of the students when they are inside their rooms. Vision based node comprises of multiple cameras, where it sense the motion of the students in the room. As it is trained with Vision based system is highly required to enhance the security and also for automated generation of alerts to the hostel authorities and their parents. Modules edge-based vision node with DL along with a Wi-Fi connection, RFID sensor, display and computing unit are backed up by a battery. Further all these units are connected to a cloud server unit that can directly be accessed by the hostel authorities and can be communicated to the parents if required. The proposed invention also fulfills the requirement the student’s attendance monitoring as the RFID will scan each individual student at the entrances and exit time.
The edge-based vision node in which the multiple 360 camera module are connected to the deep learning (DL) computing unit (10). This camera modules provides the motion data of the students in the hostel room to the DL computing unit. Co-processor such as neural computing stick is connected to DL computing unit for boosting the computation power to process the video data. Wi-Fi module is used to connect vision node to internet connectivity and share the data on the cloud server.

ADVANTAGES OF THE INVENTION:
• Hybrid architecture for real-time implementation and monitoring of university hostel campus.
• Real-time status monitoring of the student through advanced wireless protocol.
• The safety and automation can be implemented with the proposed hybrid architecture.
• The appliance of the hostel room is automatically turned off based on the student count.
• Real-time monitoring based hybrid architecture for university campus hostel.
• Long Range protocol Empowered Hybrid architecture for monitoring students and appliances of the University campus hostel.
• Wi-Fi and long-range protocol-based gateway for realization of digitalized monitoring of the students in the university campus hostel.
• Internet of things inspired automatic student count and monitoring through advanced long-range protocol and gateway.

We Claims:

1. Deep learning based vision device for monitoring the unusual activities in the hostel room with internet of things system is comprising with modules edge-based vision node with DL along with a Wi-Fi connection, RFID sensor, display and computing unit are backed up by a battery.
2. The system is claimed in claim 1, wherein which is consist of cloud server unit that can directly be accessed by the hostel authorities and can be communicated to the parents if required.
3. The system is claimed in claim 1, wherein which is consist of student’s attendance monitoring as the RFID will scan each individual student at the entrances and exit time.
4. The system is claimed in claim 1, wherein which is consist of long range protocol empowered hybrid architecture for monitoring students and appliances of the university campus hostel.
5. The system is claimed in claim 1, wherein which is consist of Wi-Fi and long-range protocol-based gateway for realization of digitalized monitoring of the students in the university campus hostel.
6. The system is claimed in claim 1, wherein which is consist of Internet of things inspired automatic student count and monitoring through advanced long-range protocol and gateway.