Abstract: This invention relates to a system of mischievous activity monitoring during examination. Disclosed herein a system of mischievous activity monitoring during examination comprises Co-processor [100], Computing Unit (Raspberry Pi) [101], Camera Module [103], Display Unit [104], and LED [105]; wherein said computing unit provides the underlying hardware platform for other component of the system; all other components are connected and controlled by this computing unit. The Camera Module [103] is the primary module through which video stream is captured by the computing unit; and this module is the main source of input. The Display Unit [104] is connected to the computing unit is the main output module that reflects the name of the suspected student.
This invention relates to a system of mischievous activity monitoring during examination. Disclosed herein a system of mischievous activity monitoring during examination comprises Co-processor [100], Computing Unit (Raspberry Pi) [101], Camera Module [103], Display Unit [104], and LED [105]; wherein said computing unit provides the underlying hardware platform for other component of the system; all other components are connected and controlled by this computing unit. The Camera Module [103] is the primary module through which video stream is captured by the computing unit; and this module is the main source of input. The Display Unit [104] is connected to the computing unit is the main output module that reflects the name of the suspected student.
BACKGROUND OF THE INVENTION
US5491791A discloses an automated system and method for remote workstation inventorying and monitoring within a distributed computing environment are presented. The computing environment includes a plurality of workstations interconnected by a network. Each workstation has basic peer-to-peer communication ability providing remote file transfer and remote command execution. A designated non-server workstation operates as a monitor for generating an execute command to be sent to each remote workstation to undergo monitoring. At the remote workstation a diagnostic routine is executed for monitoring at least one configuration characteristic of the remote workstation and for providing based thereon a report file. The report file is then returned to the monitor workstation for analysis, including compiling of an appropriate report and possible issuance of an alert message.
Research Gap: It provides the remote access monitoring system only but our invention is based remote access monitoring as well as the focus on the monitoring of student activity during the examination hall.
US7002462B2 The Vertical Transportation-Maintenance Management System (VTMMS) invention described herein is directed towards an automated system and method for monitoring, management, and maintenance of transportation equipment, including but not limited to escalators, elevators, moving walkways, baggage carousels, revolving doors, and automated doors. The system and method is also adaptable to heating, ventilation, and air conditioning units and other building equipment. The system and method collect data from the monitored equipment and preserves data that is related to equipment alarms, faults, failures, and maintenance requirements and activities as determined by monitoring software. It provides the automated monitoring on maintenance management system but our invention targets the mischievous activity monitoring during exam-hall using edge assisted devices
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 Mischievous activity monitoring during examination.
More effort has gone into incorporating instructional technology into classrooms than into evaluating the impact of these technologies on teaching and learning. To determine whether computer technology is advantageous to the teaching and learning process, we must first create a method to understand what students do in a classroom. If we discuss about examination room then monitoring examination activities is an unsolved problem in which students can engage in a variety of activities in an exam room. Invigilator cannot examine the actual activity of student during the examination hall so sometime it can be a crucial situation to stop this type of activities.
Stopping student activity again and again will disturb the entire examination hall and it will create a worst situation and time taken process. If we may identify the actual cheating activity of students then we may prevent or control the mischievous activity from any examination copy.
Using an automated surveillance system, such behavior may be tracked in real time so we propose a system/model which work in such a manner where all mischievous activity is monitored very easily through the edge assisted vision device and alarming system. Through this system we may monitor and record the action during the examination hall. All students’ activities can be stored in a local database and generate a log system. After capturing all activities of students, captions will be generated via display unit from the sensors part.
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.
This invention relates to a system of mischievous activity monitoring during examination. Disclosed herein a system of mischievous activity monitoring during examination comprises Co-processor [100], Computing Unit (Raspberry Pi) [101], Camera Module [103], Display Unit [104], and LED [105]; wherein said computing unit provides the underlying hardware platform for other component of the system; all other components are connected and controlled by this computing unit. The Camera Module [103] is the primary module through which video stream is captured by the computing unit; and this module is the main source of input. The Display Unit [104] is connected to the computing unit is the main output module that reflects the name of the suspected student.
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.
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:
Figure 1: Basic Monitoring Architecture
Figure 2: Edge Assisted Vision Device
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.
The proposed system is installed in every classroom to monitor the activities of every student through behavior analysis. The outcome of each system is stored in a local database from where further analysis can be done for decision making. All the classrooms are connected to each other via local communication technologies and the outcome of each system can be used to identify the unusual behavior of students.
This invention relates to a system of mischievous activity monitoring during examination. Disclosed herein a system of mischievous activity monitoring during examination comprises Co-processor [100], Computing Unit (Raspberry Pi) [101], Camera Module [103], Display Unit [104], and LED [105]; wherein said computing unit provides the underlying hardware platform for other component of the system; all other components are connected and controlled by this computing unit. The Camera Module [103] is the primary module through which video stream is captured by the computing unit; and this module is the main source of input. The Display Unit [104] is connected to the computing unit is the main output module that reflects the name of the suspected student.
Best Method of working:
The architecture of the proposed system is discussed as below:
1. Computing Unit (Raspberry Pi) [101]: This computing unit provides the underlying hardware platform for other component of the system. All other components are connected and controlled by this computing unit.
2. Camera Module [103]: This is the primary module through which video stream is captured by the computing unit. This module is the main source of input.
3. Display Unit [104]: Display module connected to the computing unit is the main output module that reflects the name of the suspected student.
4. LED [105]: For every name displayed on the display unit, computing unit with the help of triggered event will activate the LED.
5. Co-processor [100]: This module is to assist the main computing unit to apply the machine learning algorithm over the data set received from the main computing unit and send the output back to computing unit for further actions.
6. Power Supply [102]: For long operational activities by the system, there is a power supply attached to the system.
Novel Features:
1. This invention provides the consistency of monitoring on the students during examination room without any intervention.
2. This invention provides the flexibility of monitoring between the teacher and students
3. In anytime student can leave the exam after completing their exam.
4. Student behavior can be analyzed.
5. Evaluation system may be developed with the help of this invention.
CLAIM:
1. A system of mischievous activity monitoring during examination comprises Co-processor [100], Computing Unit (Raspberry Pi) [101], Camera Module [103], Display Unit [104], and LED [105]; wherein said computing unit provides the underlying hardware platform for other component of the system; all other components are connected and controlled by this computing unit.
2. The system as claimed in claim 1, wherein Camera Module [103] is the primary module through which video stream is captured by the computing unit; and this module is the main source of input.
3. The system as claimed in claim 1, wherein Display Unit [104] is connected to the computing unit is the main output module that reflects the name of the suspected student.
4. The system as claimed in claim 1, wherein LED [105] is used for every name displayed on the display unit, computing unit with the help of triggered event activates the LED.
5. The system as claimed in claim 1, wherein Co-processor [100] is to assist the main computing unit to apply the machine learning algorithm over the data set received from the main computing unit and send the output back to computing unit for further actions.
6. The system as claimed in claim 1, wherein Power Supply [102] is used for long operational activities by the system, which is attached to the system.
| # | Name | Date |
|---|---|---|
| 1 | 202211012495-STATEMENT OF UNDERTAKING (FORM 3) [08-03-2022(online)].pdf | 2022-03-08 |
| 2 | 202211012495-PROVISIONAL SPECIFICATION [08-03-2022(online)].pdf | 2022-03-08 |
| 3 | 202211012495-POWER OF AUTHORITY [08-03-2022(online)].pdf | 2022-03-08 |
| 4 | 202211012495-FORM FOR SMALL ENTITY(FORM-28) [08-03-2022(online)].pdf | 2022-03-08 |
| 5 | 202211012495-FORM 1 [08-03-2022(online)].pdf | 2022-03-08 |
| 6 | 202211012495-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [08-03-2022(online)].pdf | 2022-03-08 |
| 7 | 202211012495-EVIDENCE FOR REGISTRATION UNDER SSI [08-03-2022(online)].pdf | 2022-03-08 |
| 8 | 202211012495-EDUCATIONAL INSTITUTION(S) [08-03-2022(online)].pdf | 2022-03-08 |
| 9 | 202211012495-DRAWINGS [08-03-2022(online)].pdf | 2022-03-08 |
| 10 | 202211012495-DECLARATION OF INVENTORSHIP (FORM 5) [08-03-2022(online)].pdf | 2022-03-08 |
| 11 | 202211012495-FORM-9 [05-04-2022(online)].pdf | 2022-04-05 |
| 12 | 202211012495-DRAWING [05-04-2022(online)].pdf | 2022-04-05 |
| 13 | 202211012495-COMPLETE SPECIFICATION [05-04-2022(online)].pdf | 2022-04-05 |
| 14 | 202211012495-Proof of Right [18-07-2022(online)].pdf | 2022-07-18 |
| 15 | 202211012495-FORM 18 [29-04-2023(online)].pdf | 2023-04-29 |
| 16 | 202211012495-FER.pdf | 2024-02-15 |
| 17 | 202211012495-FORM-8 [19-07-2024(online)].pdf | 2024-07-19 |
| 18 | 202211012495-FER_SER_REPLY [05-08-2024(online)].pdf | 2024-08-05 |
| 19 | 202211012495-CORRESPONDENCE [05-08-2024(online)].pdf | 2024-08-05 |
| 20 | 202211012495-CLAIMS [05-08-2024(online)].pdf | 2024-08-05 |
| 21 | 202211012495-ABSTRACT [05-08-2024(online)].pdf | 2024-08-05 |
| 22 | 202211012495-US(14)-HearingNotice-(HearingDate-23-06-2025).pdf | 2025-05-28 |
| 23 | 202211012495-Correspondence to notify the Controller [16-06-2025(online)].pdf | 2025-06-16 |
| 24 | 202211012495-Written submissions and relevant documents [08-07-2025(online)].pdf | 2025-07-08 |
| 25 | 202211012495-Annexure [08-07-2025(online)].pdf | 2025-07-08 |
| 26 | 202211012495-US(14)-ExtendedHearingNotice-(HearingDate-16-10-2025)-1600.pdf | 2025-09-26 |
| 27 | 202211012495-Correspondence to notify the Controller [09-10-2025(online)].pdf | 2025-10-09 |
| 28 | 202211012495-US(14)-ExtendedHearingNotice-(HearingDate-22-10-2025)-1300.pdf | 2025-10-16 |
| 29 | 202211012495-Correspondence to notify the Controller [17-10-2025(online)].pdf | 2025-10-17 |
| 30 | 202211012495-Written submissions and relevant documents [01-11-2025(online)].pdf | 2025-11-01 |
| 31 | 202211012495-Annexure [01-11-2025(online)].pdf | 2025-11-01 |
| 1 | SearchStrategyE_31-08-2023.pdf |