Description:TECHNICAL FIELD
[0001] The present disclosure relates to the field of remote sensing and operation. More particularly, it relates to a remote exam invigilation system.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] Conduction of online examinations and maintenance of physical distancing between examinees and invigilators require efficient monitoring, which is a useful step in avoiding malpractice and adoption of unfair means during examinations and adhering to hygiene protocols. Therefore there is need in the art to develop a system for remote invigilation of exams.
[0004] Existing literature describes an image capturing and motion recognition device for remote exams. Another examination proctoring system has been discussed that uses a pair of cameras for capturing identity, movement and gaze of the examinees. Examination room monitoring system using face recognition has been disclosed in another literature. Virtual examination process through digital platform has been described in another prior-art. Another prior-art describes an image based assessment of cheating during examinations. However, none of the disclosed systems describe a networked architecture based on IoT and AI processing engines that can perform remote invigilation of exams.
[0005] The proposed system discloses set of sensors configured to detect and measure a set of attributes related to the examinees in a first location. The set of sensors are coupled to one or more processing units that facilitate remotely located invigilators in a second location to analyze and assess fairness of the conducted exams in the first locations. The invigilators can provide inputs to assist in the examination process, the inputs being configured to be stored in a server for record and future retrieval by authorized personnel. The one or more processing units can generate a set of instructions based on the inputs from invigilators, the set of instructions being enabled to perform a set of predetermined operations.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide a remote exam invigilation system that enables one or more sensors to detect a first set of attributes pertaining to a set of first entities, the set of first entities being facilitated to write exams.
[0008] It is an object of the present disclosure to provide a remote exam invigilation system that enables one or more input and output units to display information to and receive inputs from a set of second entities, the set of second entities being facilitated to monitor and analyze the conducted exams.
[0009] It is an object of the present disclosure to provide a remote exam invigilation system that facilitates the exams to be conducted at one or more first locations and the monitoring by the set of second entities being performed at one or more second locations.
[0010] It is an object of the present disclosure to provide a remote exam invigilation system that includes one or more processing units and one or more servers to be communicatively coupled to the one or more sensors and the one or more input and output units through one or more communication networks.
[0011] It is an object of the present disclosure to provide a remote exam invigilation system that enables the one or more processing units to determine a second set of attributes from the first set of attributes received from the one or more sensors and transmit the first and second set of attributes to the one or more input and output units.
[0012] It is an object of the present disclosure to provide a remote exam invigilation system that facilitates the set of second entities to provide inputs to the one or more input and output units in response to the displayed first and second set of attributes.
[0013] It is an object of the present disclosure to provide a remote exam invigilation system that enables the one or more processing units to receive a set of decision signals from the one or more input and output units in response to the transmitted first and second set of attributes.
[0014] It is an object of the present disclosure to provide a remote exam invigilation system that enables the one or more processing units to perform a set of operations based on the set of decision signals.
[0015] It is an object of the present disclosure to provide a remote exam invigilation system that facilitates transmission of information among the one or more sensors, the one or more input and output units and the one or more processing units through the one or more communication networks.
[0016] It is an object of the present disclosure to provide a remote exam invigilation system that enables the one or more processing units to transmit the information received and generated to the one or more servers for storage and secure retrieval in future.

SUMMARY
[0017] The present disclosure relates to the field of remote sensing and operation. More particularly, it relates to a remote exam invigilation system.
[0018] An aspect of the present disclosure pertains to a system that may include one or more sensors, one or more input and output units, one or more processing units, one or more servers and one or more communication networks.
[0019] In an aspect, the one or more sensors may be enabled to detect a first set of attributes pertaining to a set of first entities, the set of first entities being facilitated to write exams.
[0020] In an aspect the one or more sensors may pertain to image capturing units, positioning units, sound recording units and timing units.
[0021] In an aspect the one or more input and output units may be enabled to display information to and receive inputs from a set of second entities, the set of second entities being facilitated to monitor and analyze the conducted exams.
[0022] In an aspect the one or more sensors may be installed in one or more first locations and the one or more input and output units may be placed at one or more second locations, the one or more second locations being remote to the one or more first locations.
[0023] In an aspect, the one or more processing units may be configured to receive the first set of attributes pertaining to the set of first entities from the one or more sensors.
[0024] In an aspect, the one or more processing units may be enabled to determine a second set of attributes from the first set of attributes and correspondingly transmit the first and second set of attributes to the one or more input and output units.
[0025] In an aspect the second set of attributes may pertain to gesture analysis, motion analysis, intent analysis, voice analysis, distress analysis and suspicious activity markers associated with the set of first entities.
[0026] In an aspect the one or more input and output units may be configured to display to the set of second entities, the received first and the second set of attributes pertaining to the set of first entities.
[0027] In an aspect, the set of second entities may be facilitated to provide inputs to the one or more input and output units in response to the displayed first and second set of attributes.
[0028] In an aspect, the one or more processing units may be enabled to receive a set of decision signals from the one or more input and output units in response to the transmitted first and second set of attributes, the set of decision signals being based on the inputs provided by the set of second entities.
[0029] It is an object of the present disclosure to provide a remote exam invigilation system that enables the one or more processing units to perform a set of operations based on the set of decision signals.
[0030] In an aspect, the set of operations performed by the one or more processing units may pertain to actions and remarks related to the examination conducted, the set of first entities, the one or more first locations and the one or more sensors.
[0031] In an aspect, information pertaining to the first and the second set of attributes and the set of decision signals may be transmitted from the one or more sensors to the one or more processing units, from the one or more processing units to the one or more input and output units and vice versa through the one or more communication networks.
[0032] In an aspect the one or more processing units may be configured to transmit the information pertaining to first and the second set of attributes, the set of decision signals and the set of operations performed based on the set of decision signals to the one or more servers for storage, the information being transmitted through the one or more communication networks.
[0033] In an aspect, the one or more communication networks may pertain to wired and wireless communication networks and may correspond to local area networks and wide area networks.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[0034] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0035] The diagrams described herein are for illustration only, which thus are not limitations of the present disclosure, and wherein:
[0036] FIG. 1 illustrates exemplary architecture of the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0037] FIG. 2 illustrates an exemplary block diagram (200) of the functional components of the processing units (102) associated with the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0038] FIG. 3 illustrates exemplary flow diagram (300) of the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0039] FIG. 4 illustrates exemplary computer system (400) to implement functionalities of the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0040] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0041] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0042] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0043] While embodiments of the present invention have been illustrated and described in the accompanying drawings, the embodiments are offered only in as much detail as to clearly communicate the disclosure and are not intended to limit the numerous equivalents, changes, variations, substitutions and modifications falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0044] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.
[0045] Each of the appended claims defines a separate invention, which for infringement purposes is recognized as including equivalents to the various elements or limitations specified in the claims. Depending on the context, all references below to the "invention" may in some cases refer to certain specific embodiments only. In other cases it will be recognized that references to the "invention" will refer to subject matter recited in one or more, but not necessarily all, of the claims.
[0046] Various terms as used herein are shown below. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0047] The present disclosure relates to the field of remote sensing and operation. More particularly, it relates to a remote exam invigilation system.
[0048] FIG. 1 illustrates exemplary architecture of the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0049] In an embodiment, the proposed remote exam invigilation system (100) (interchangeably known as the system (100) herein) may include one or more sensors (108-1, 108-2,…,108-N) (collectively known as sensors (108) and individually known as sensor (108)) that may be configured to detect and measure a first set of attributes pertaining to a set of first entities (110-1, 110-2,…,110-N) (collectively known as set of first entities (110) or examinees (110) and individually known as first set of entity (110) or examinee (110)) located at one or more first predetermined locations. The set of first entities (110) may pertain to examinees facilitated to write examinations conducted at the one or more first predetermined locations. The one or more sensors (108) may include but may not be limited to image capturing units, positioning units, sound recording units, timing units and the likes. By way of example, the first set of attributes pertaining to the set of first entities (110) may include any or a combination of identity, location, position, motion, voice, activities, unauthorized object in possession, exam code, exam date, exam venue, exam time and the likes. In an exemplary embodiment, the one or more sensors (108) may pertain to any or a combination of cameras, biometric sensors, proximity sensors, infrared sensors, global positioning system sensors, microphones, timing devices such as stopwatch and the likes.
[0050] In an embodiment, the system (100) may include one or more input and output units (114) that may be communicatively coupled to the one or more sensors (108). The one or more input and output units (114) may be located in one or more second predetermined locations, the one or more input and output units (114) being associated with a set of second entities (112) (interchangeably known as users (112), herein). The one or more input and output units (114) may be enabled to display at the one or more second predetermined locations, information pertaining to the set of first entities (110), the one or more sensors (108) and the examinations conducted at the one or more first predetermined locations. The set of second entities (112) may be facilitated to provide inputs pertaining to the observed examinations, the one or more sensors (108) and the one or more first entities (110) through the one or more input and output units (114).
[0051] In an exemplary embodiment, the one or more input and output units (114) may include devices like but not limited to computers, laptops, hand-held digital assistants, smart phones, Tablet PCs, mainframes, workstations, industrial assets, LED display screen, LCD display screen, alphanumeric keyboards, touchpads, microphone, speaker, printer, scanner, computer mice and the likes for facilitating interaction with the set of second entities (112).
[0052] In an embodiment, the system (100) may include one or more servers (106) that may be communicatively coupled to the one or more sensors (108) and the one or more input and output units (114). The one or more servers (106) may be configured to store information related to the first and a second set of attributes pertaining to the set of first entities (110) and a set of decision signals. The second set of attributes may be generated from the first set of attributes, the first and the second set of attributes being configured to be displayed by the one or more input and output units (114). In response to the user inputs provided by the set of second entities (112) the set of decision signals may be generated. By way of example the one or more servers (106) may include computers, computing devices, tablets, smart phones, laptops, industrial assets and the likes associated with one or more digital storage devices such as hard disk drive, random access memory, Read only memory, Flash memory, portable memory, SD cards and the likes.
[0053] In an embodiment, the system (100) may include one or more communication networks (104) that may be enabled to communicatively couple the one or more sensors (108), the one or more input and output units (114) and the one or more servers (106). The one or more communication networks (104) may be configured to bidirectionally transmit information among the one or more sensors (108), the one or more input and output units (114) and the one or more servers (106), the information pertaining to the first and the second set of attributes and the set of decision signals.
[0054] In an embodiment, the one or more communication networks (104) may include any or a combination of Wireless local area network (WLAN), Wide area network (WAN), Wireless fidelity (Wi-fi), Bluetooth, Worldwide interoperability for microwave access (WiMAX), cellular communication network, GSM and the likes. The communication network may be a wireless network, a wired network or a combination thereof that may be implemented as one of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, and the likes. Further, the communication network may either be a dedicated network or a shared network. The shared network may represent an association of the different types of networks that may use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP) and the likes.
[0055] In an embodiment, the one or more communication networks (104) may be configured to provide coverage to any or a combination of one or more rooms in a building, one or more buildings in an institute, one or more institutes in a city, one or more cities and one or more countries. In an exemplary embodiment, the one or more communication networks (104) may be online or offline.
[0056] In an embodiment, the system (100) may include one or more processing units (102) that may be communicatively coupled to the one or more sensors (108), the one or more input and output units (114) and the one or more servers (106) through the one or more communication networks (104). The one or more processing units (102) may be enabled to receive the first set of attributes from the one or more sensors (102) and correspondingly generate the second set of attributes, The one or more processing units (102) may be enabled to transmit the first and the second set of attributes to the one or more input and output units (114) and correspondingly receive a set of decision signals from the one or more input and output units (114), the set of decision signals pertaining to the set of user inputs.
[0057] FIG. 2 illustrates an exemplary block diagram (200) of the functional components of the processing units (102) associated with the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0058] In an illustrative embodiment, the one or more processing units (102) may include one or more processors (202). The one or more processors (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processors (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204), operatively coupled to the one or more processors (202). The memory (204) may be configured to store one or more computer-readable instructions or routines, which may be fetched and executed to generate and share data packets over a communication network or channel. The memory (204) may include any non-transitory storage device including, for example, volatile) memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0059] In an embodiment, the one or more processing units (102) may also include an interface (206) that can provide a communication pathway between the one or more processors (202) and the one or more communication networks (104) and between the one or more processors (202) and other functional components of the processing unit (102) including but not limited to, memory (204) and database (222).
[0060] In an embodiment, the one or more processing engine(s) (208) of the one or more processing units (102) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the one or more processing engine(s) (208). In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the one or more processing engine(s) (208) may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the one or more processing engine(s) (208) may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the one or more processing engine(s) (208). In such examples, the one or more processing units (102) may comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the one or more processing units (102) and the processing resource. In other examples, the one or more processing engine(s) (208) may be implemented by electronic circuitry. By way of example, the one or more processing engines(s)(208) may include any or a combination of internet-of-things engine, machine learning engine, artificial intelligence engine and supervised and unsupervised learning based engine.
[0061] In an embodiment, the one or more processing engines (208) may include an identification unit (210) that may be configured to detect identity of the set of first entities (110). The identification unit (210) may be enabled to receive the first set of attributes containing any or a combination of facial images, motion videos, activity videos, biometric images and voice signature pertaining to the set of first entities (110). The one or more processors (202) may be configured to extract a first set of data packets from the input signals received from the one or more sensors (108), the first set of data packets pertaining to the first set of attributes. In an exemplary embodiment the input signals may correspond to any or a combination of image signals, video signals, alphanumeric texts and sound signals. The first set of data packets may pertain to digital stream of computer readable format.
[0062] In an embodiment, the one or more processing engines (208) may include a positioning unit (212) that may be configured to detect location of the set of first entities (110) with respect to global positioning system and also position of the set of first entities (110) within an enclosed region such as a room, hall, wing, building and the likes. In an embodiment the location and the position of the set of first entities (110) may be enabled to assist in identification and authentication of monitored activities of the set of first entities (110) by the remotely located invigilators. Information pertaining to location and position of the set of first entities (110) may be included in the first set of data packets. The first set of data packets may also include information pertaining to exam code, exam date, exam venue, exam time and the likes that may be useful in analysis and monitoring of malpractices in the conducted examinations.
[0063] In an embodiment, the one or more processing engines (208) may include a comparison unit (216) that may be configured to receive the first set of data packets from the one or more sensors (110). The one or more processors (202) may be enabled to receive a second set of data packets from a database (222), operatively coupled to the one or more processors (202). The one or more processors (202) may be enabled to compare the first set of data packets with the second set of data packets and correspondingly generate a third set of data packets. The second set of data packets may pertain to a set of threshold values of the first set of attributes. The third set of data packets may pertain to a second set of attributes that may be determined based on the comparison of the first set of attributes to the corresponding threshold values.
[0064] In an embodiment, the one or more processing engines (208) may include a gesture recognition unit (214) that may be enabled to generate the second set of attributes pertaining to the set of first entities (110). In an exemplary embodiment, the second set of attributes may include any or a combination of gesture analysis, motion analysis, intent analysis, voice analysis, distress analysis and suspicious activity markers. By way of example, image signals pertaining to the set of first entities (110) may be used to determine motion, activity, intention and the likes of the set of first entities (110). The gestures may also be analyzed to determine any or a combination of possibilities including but not limited to the set of first entities (110) being in possession of unauthorized objects, in contact with unauthorized entities in the examination hall, in the act of cheating, copying, undertaking unfair means during examination.
[0065] In an embodiment, the one or more processing engines (208) may include an interaction unit (218) that may be configured to display information pertaining to the set of first entities (110), the examinations conducted at the one or more predetermined first locations and the status of the one or more sensors (108) to the set of second entities (114). The displayed information may be related to the first and third set of data packets corresponding to the first and the second set of attributes. The set of second entities (114) may be facilitated to analyze and monitor the first and the third set of data packets and correspondingly provide a set of input signals to the one or more input and output units (114). The one or more input and output units (114) may be configured to receive the set of input signals and extract a fourth set of data packets, the fourth set of data packets pertaining to a set of decision signals pertaining to the set of first entities (110), the one or more sensors (108) and the examinations conducted.
[0066] In an embodiment, the interaction unit (218) may be configured to receive the set of decision signals by the one or more processors (202) from the one or more input and output units (114). By way of example, the set of decision signals may include any or a combination of actions and remarks pertaining to approving and disapproving conducted examination, validating and invalidating conducted examination, suspicious activity marking corresponding to the set of first entities , debarring selected elements of the set of first entities , scheduling re-exams, changing orientations and positioning of the one or more sensors and relocating the examination to alternate predetermined first locations.
[0067] In an embodiment, the one or more processors (202) may be enabled to perform a set of predetermined operations related to the set of first entities (110), the one or more sensors (108) and the invigilated examinations, and correspondingly generate a fifth set of data packets. The set of predetermined operations may correspond to actions and remarks determined pertaining to any or a combination of the set of first entities (110), the one or more first predetermined locations and the one or more sensors (108). The fifth set of data packets may be transmitted by the one or more processors (202) to the one or more servers (106) through the one or more communication network (104), the fifth set of data packets being enabled to be retrieved securely by authorized users.
[0068] In an embodiment, the one or more processing engines (208) may include other units (220) that may be configured to implement functionalities that supplement actions performed by the one or more processors (202) of the one or more processing units (102). In an exemplary embodiment, such actions may include but may not be limited to automatic tuning of and noise removal from the one or more sensors (108), conversion of the input signals from the one or more sensors (108) into computer readable form, periodic polling of the one or more communication networks (104) for reception of data packets and the likes.
[0069] FIG. 3 illustrates exemplary flow diagram (300) of the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0070] In an embodiment, the proposed remote exam invigilation system (100) may include one or more sensors (108) that may be configured to detect a first set of attributes pertaining to a set of first entities (not shown). The set of first entities may be facilitated to write exams that may be conducted at one or more predetermined first locations. The system (100) may also include one or more input and output units (not shown) that may be enabled to display information to and receive inputs from a set of second entities (112) located at one or more predetermined second locations. The set of second entities (112) may be facilitated to remotely monitor and analyze the conducted exams. The system (100) may include one or more processing units (102) that may be configured to determine and transmit information pertaining to the set of first entities to the set of second entities (112) and correspondingly perform a set of operations based on inputs provided by the set of second entities (112) in response to analysis and monitoring of the conducted exams. The information received and generated by the one or more processing units (102), the one or more sensors (108) and the one or more input and output units may be transmitted through one or more communication networks (104) and stored in one or more servers (106) for secure retrieval in future.
[0071] FIG. 4 illustrates exemplary computer system (400) to implement functionalities of the proposed remote exam invigilation system (100) in accordance with an embodiment of the present disclosure.
[0072] In an illustrative embodiment of FIG. 4, a computer system may include an external storage device (410), a bus (420), a main memory (430), a read only memory (440), a mass storage device (450), communication port (460), and a processor (470). A person skilled in the art may appreciate that computer system may include more than one processor and communication ports. Examples of processor (470) may include, but not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOC™ system on a chip processors or other future processors. Processor (470) may include various modules associated with embodiments of the present invention. Communication port (460) may be any of an RS-232 port for use with a modem based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. Communication port (460) may be chosen depending on a network, such a Local Area Network (LAN), Wide Area Network (WAN), or any network to which computer system connects.
[0073] In an embodiment, Memory (430) may be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. Read only memory (440) may be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or BIOS instructions for processor (470). Mass storage (450) may be any current or future mass storage solution, which may be used to store information and/or instructions. Exemplary mass storage solutions may include, but not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), e.g. those available from Seagate (e.g., the Seagate Barracuda 7102 family) or Hitachi (e.g., the Hitachi Deskstar 7K1000), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA arrays), available from various vendors including Dot Hill Systems Corp., LaCie, Nexsan Technologies, Inc. and Enhance Technology, Inc.
[0074] In an embodiment, Bus (420) may enable the processor(s) (470) to communicatively couple with the memory, storage and other blocks. Bus (420) may be, e.g. a Peripheral Component Interconnect (PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which may connect processor (470) to software system.
[0075] Optionally, operator and administrative interfaces, e.g. a display, keyboard, and a cursor control device, may also be coupled to bus (420) to support direct operator interaction with computer system. Other operator and administrative interfaces may be provided through network connections connected through communication port (460). External storage device (410) may be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives, Compact Disc - Read Only Memory (CD-ROM), Compact Disc - Re-Writable (CD-RW), Digital Video Disk - Read Only Memory (DVD-ROM). Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system limit the scope of the present disclosure.
[0076] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0077] The terms, descriptions and figures used herein are set forth by way of illustration only. Many variations are possible within the spirit and scope of the subject matter, which is intended to be defined by the following claims and their equivalents in which all terms are meant in their broadest reasonable sense unless otherwise indicated.
[0078] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE INVENTION
[0079] The present disclosure provides for a remote exam invigilation system that enables one or more sensors to detect a first set of attributes pertaining to a set of first entities, the set of first entities being facilitated to write exams.
[0080] The present disclosure provides for a remote exam invigilation system that enables one or more input and output units to display information to and receive inputs from a set of second entities, the set of second entities being facilitated to monitor and analyze the conducted exams.
[0081] The present disclosure provides for a remote exam invigilation system that facilitates the exams to be conducted at one or more first locations and the monitoring by the set of second entities being performed at one or more second locations.
[0082] The present disclosure provides for a remote exam invigilation system that includes one or more processing units and one or more servers to be communicatively coupled to the one or more sensors and the one or more input and output units through one or more communication networks.
[0083] The present disclosure provides for a remote exam invigilation system that enables the one or more processing units to determine a second set of attributes from the first set of attributes received from the one or more sensors and transmit the first and second set of attributes to the one or more input and output units.
[0084] The present disclosure provides for a remote exam invigilation system that facilitates the set of second entities to provide inputs to the one or more input and output units in response to the displayed first and second set of attributes.
[0085] The present disclosure provides for a remote exam invigilation system that enables the one or more processing units to receive a set of decision signals from the one or more input and output units in response to the transmitted first and second set of attributes.
[0086] The present disclosure provides for a remote exam invigilation system that enables the one or more processing units to perform a set of operations based on the set of decision signals.
[0087] The present disclosure provides for a remote exam invigilation system that facilitates transmission of information among the one or more sensors, the one or more input and output units and the one or more processing units through the one or more communication networks.
[0088] The present disclosure provides for a remote exam invigilation system that enables the one or more processing units to transmit the information received and generated to the one or more servers for storage and secure retrieval in future.

We Claims:

1. An automatic exam invigilation system (100), the system comprising:
one or more sensors (108) installed in one or more predetermined first locations, wherein the one or more sensors (108) are configured to detect a first set of attributes pertaining to a set of first entities (110), wherein the set of first entities pertain to examinees facilitated to write examinations at the first predetermined locations;
one or more input and output units (114) communicatively coupled to the one or more sensors (108) and installed in one or more predetermined second locations, wherein the one or more input and output units (114) are configured to be used by a set of second entities (112), wherein the one or more input and output units (114) are enabled to display the first and a second set of attributes pertaining to the set of first entities (110) and wherein the one or more input and output units (114) are enabled to receive user inputs from the set of second entities (112);
one or more servers (106) communicatively coupled to the one or more sensors (108) and the one or more input and output units (114), wherein the one or more servers (106) are configured to store information related to the first and the second set of attributes pertaining to the set of first entities (110) and a set of decision signals generated based on the user inputs received from the set of second entities (112);
one or more communication networks (104) enabled to communicatively couple the one or more sensors (108), the one or more input and output units (114) and the one or more servers (106), wherein the one or more communication networks (104) are configured to bidirectionally transmit information pertaining to the first and the second set of attributes and the set of decision signals;
one or more processing units (102) communicatively coupled to the one or more sensors (108), the one or more input and output units (114) and the one or more servers (106) through the one or more communication networks (104), wherein the one or more processing units (102) comprise of one or more processors (202) associated with one or more memory (204), the one or more memory storing instructions executable by the one or more processors (202) and configured to:
extract a first set of data packets from the input signals received from the one or more sensors (108), wherein the first set of data packets pertain to the first set of attributes associated with the set of first entities (110) located in the one or more predetermined first locations;
compare the first set of data packets with a second set of data packets and correspondingly generate a third set of data packets, the third set of data packets pertaining to the second set of attributes wherein the second set of data packets pertain to a set of threshold values of the first set of attributes, wherein the second set of data packets are stored in a database (222), operatively coupled to the one or more processors (202);
transmit the first and third set of data packets to the one or more input and output units (114) located in the one or more predetermined second locations, wherein the third set of data packets are monitored and analyzed by the set of second entities (112);
extract a fourth set of data packets from the user inputs received from the set of second entities (112) in response to the transmitted first and the third set of data packets, wherein the fourth set of data packets pertain to the set of decision signals;
perform a set of predetermined operations related to the invigilated examinations, and correspondingly generate a fifth set of data packets, wherein the set of predetermined operations correspond to actions and remarks determined pertaining to any or a combination of the set of first entities (110), the one or more first predetermined locations and the one or more sensors (108);
transmit the fifth set of data packets to the one or more servers (106) through the one or more communication network (104), wherein the fifth set of data packets are enabled to be retrieved securely by authorized users.

2. The system (100) as claimed in claim 1, wherein the set of second entities (112) pertain to invigilators located at the predetermined second locations, wherein the set of second entities (112) are facilitated to monitor examinations conducted at the first predetermined locations through the one or more input and output units (114), wherein the examinations are written by the set of first entities (110).

3. The system (100) as claimed in claim 2, wherein the one or more input and output units (114) pertain to any or a combination of computing devices, one or more display units, alphanumeric and selection units, sound input and output units.

4. The system (100) as claimed in claim 1, wherein the one or more sensors (108) pertain to any or a combination of image capturing units, positioning units, sound recording units and timing units, wherein the first set of attributes pertaining to the set of first entities (110) include any or a combination of identity, location, position motion, voice, activities, unauthorized object in possession, exam code, exam date, exam venue and exam time.
5. The system (100) as claimed in claim 1, wherein the second set of attributes pertaining to the set of first entities (110) include any or a combination of gesture analysis, motion analysis, intent analysis, voice analysis, distress analysis and suspicious activity markers.

6. The system (100) as claimed in claim 1, wherein the fifth set of data packets based on the set of decision signals include any or a combination of actions and remarks pertaining to approving and disapproving conducted examination, validating and invalidating conducted examination, suspicious activity marking corresponding to the set of first entities, debarring selected elements of the set of first entities , scheduling re-exams, changing orientations and positioning of the one or more sensors and relocating the examination to alternate predetermined first locations.

7. The system (100) as claimed in claim 1, wherein the one or more processors (202) are configured to perform one or more functionalities, execution of the one or more functionalities corresponding to any or a combination of internet-of-things engine, machine learning engine, artificial intelligence engine and supervised and unsupervised learning based engine.

8. The system (100) as claimed in claim 1, wherein the one or more communication networks (106) include any or a combination of wired and wireless communication links and interfaces, wherein coverage of the communication links and interfaces pertain to any or a combination of one or more rooms in a building, one or more buildings in an institute, one or more institutes in a city, one or more cities and one or more countries, wherein the one or more communication networks (106) include any or a combination of intranet, internet, world wide web, cloud network, local area network, wide area network, Bluetooth network, wireless fidelity, global system for mobile communication and global positioning system network.