The present disclosure relates to task management. More
particularly, the present disclosure relates to a system and method for detecting location of an employee and correspondingly rescheduling task of the day.
BACKGROUND
[0002] Background description includes information that may be useful in
understanding the present invention. It is not an admission that any of the
information provided herein is prior art or relevant to the presently claimed
invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In many industries it is important to keep accurate time logs of
employee arrivals, departures, lunch times, break times and the like. In a factory environment with a single location and a small number of accesses, this information has traditionally been collected by means of a mechanical time clock and paper punch cards for each employee.
[0004] Traditional management workplace discipline is often connected
with a rigid 9:00 am to 5:00 pm work cycle. These rigid workplace rules and regulations often found to be harsh for employee's mental and emotional well-being.
[0005] Other possible solution for this system can be creating a system
which is able to calculate the employee late coming timing, and in the end of
month or week all the calculated time will be added and make a shift in the
weekend. But the main problem with these system will be that employee will be
occupied in the weekends too and his routine will be disturbed.
[0006] Work from home is the best possible solution for this problem. An
employee will never be late he has to start his form the home, and according to some studies employees productivity is increased during the work from home. But the problem is work from home cannot be implement in every department of the organization. There are some department they need to come to organization on regular basis.

[0007] Another possible solution for this problem is not to judging the
employee only the basis of his presence time in the organization. The organization
should consider the employee productivity not the time he spent in the
organization. But practically this solution cannot be implement in real-life time.
[0008] There is, therefore, a need of a system to obviate above-mentioned
problem, by detecting the location of the employees and automatically rescheduling the tasks assigned for the day to reduce hassle.
OBJECTS OF THE PRESENT DISCLOSURE
[0009] Some of the objects of the present disclosure, which at least one
embodiment herein satisfies are as listed herein below.
[0010] It is an object of the present disclosure to provide a system that is a
reliable and comprehensive tool for an organization to effectively manage large
volume of employees.
[0011] It is another object of the present disclosure to provide a system
that is used to pacify moral dilemmas faced by HR/Admin departments.
[0012] It is another object of the present disclosure to provide a system for
improving working capabilities of HR/Admin departments and employees both by
reducing regular face-time encounters to discuss late- punching reasons and
project completion deadlines.
[0013] It is another object of the present disclosure to provide a system to
analyze the travel disruptions automatically like poor climate conditions, heavy
traffic, road blockage etc., faced by employees while their way to office.
[0014] It is another object of the present disclosure to provide a system to
detect location where the employee is stuck due to various factors and can
automatically re-schedule project meetings and other works to be completed
during the day.
[0015] Other object, features, and advantages will become apparent from
detail description and appended claims to those skilled in the art.

SUMMARY
[0016] Various aspects of the present disclosure relates to task
management. In particular the present disclosure relates to a system and method for detecting location of an employee and correspondingly rescheduling task of the day.
[0017] According to an aspect of the present disclosure a system to
reschedule one or more tasks of an employee based on location of the employee is disclosed, the system may include a location identifier coupled to a mobile computing device of the employee to receive location information of the employee, a communication unit may be configured to receive a ticket generated by the employee by the associated mobile computing device, and the ticket may be generated when travel time of a day is more than the daily travel time as a consequence of traffic condition, a processing unit may be operatively coupled to the communication unit.
[0018] In an aspect, the processing unit may comprising one or more
processors coupled with a memory, the memory storing instructions executable by the one or more processors configured to receive location information of the employee and the ticket may be generated by the employee, analyse the location information of the employee to acquire the traffic condition, extract cause of being delayed from the received ticket, match the acquired traffic condition with the extracted cause of being delayed, and reschedule the one or more tasks of the day, in response to the cause of being delayed factual.
[0019] In an aspect, the communication unit may include any or
combination of GSM module, Wireless Fidelity (Wi-Fi) Module, Bluetooth
Module, Li-Fi Module, Wireless Local Area Network (WLAN), and ZigBee.
[0020] In an aspect, the ticket may be a request transmitted from the
mobile computing device, and the ticket may be transmitted in the form of a signal.
[0021] In an aspect, the traffic condition may include heavy traffic, rain,
heavy wind, blocked route, storm, or combination thereof.

[0022] In an aspect, one or more techniques may be used to analyse the
traffic condition, the techniques are selected from a group consisting of support
vector machines, decision trees, artificial neural networks, and convolutional
neural networks.
[0023] In an aspect, the system may include a task scheduling unit that can
be configured to allocate one or more tasks to the employee on regular basis, and
reschedule the task if not finalized on the scheduled day.
[0024] In an aspect, the processing unit may be configured to actuate the
location identifier daily on a pre-defined time to acquire the location information
of the employee.
[0025] Another aspect of the present disclosure pertains to a method to
reschedule tasks of an employee based on location of the employee, the method
may include receiving location information of an employee from a location
identifier coupled to a mobile computing device of the employee, receiving a
ticket may be generated by the employee, matching traffic condition extracted
from the received location information with the cause of being delayed extracted
from the ticket, activating a task scheduling unit for rescheduling the one or more
tasks of that day, in response to the cause of being delayed factual.
[0026] Various objects, features, aspects and advantages of the inventive
subject matter will become more apparent from the following detailed description
of preferred embodiments, along with the accompanying drawing figures in which
like numerals represent like components.
BRIEF DESCRIPTION OF DRAWINGS
[0027] The following is a detailed description of embodiments of the
disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered 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 spirit and scope of the present disclosure as defined by the appended claims.

[0028] 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.
[0029] FIG. 1 illustrates an exemplary block diagram of a system for
rescheduling task of an employee based on location, in accordance with an
embodiment of the present disclosure.
[0030] FIG. 2 illustrates exemplary functional components of a system for
rescheduling task of an employee based on location, in accordance with an
embodiment of the present disclosure.
[0031] FIG. 3 illustrates an exemplary representation of the proposed
system, in accordance with an embodiment of the present disclosure.
[0032] FIG. 4 illustrates an exemplary mobile application of the proposed
system, in accordance with an embodiment of the present disclosure.
[0033] FIG. 5 illustrates an exemplary method for rescheduling task of an
employee based on location, in accordance with an embodiment of the present
disclosure.
DETAILED DESCRIPTION
[0034] The following is a detailed description of embodiments of the
disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered 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.
[0035] 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.

[0036] Embodiments explained herein relate to the field of task
management. In particular, the present disclosure relates to a system and method
for detecting location of an employee and correspondingly rescheduling task of
the day.
[0037] FIG. 1 illustrates an exemplary block diagram of a system for
rescheduling task of an employee based on location, in accordance with an
embodiment of the present disclosure.
[0038] According to an embodiment of the present disclosure, a system
(100) for detecting location of an employee and correspondingly rescheduling
tasks of the day of the employee is disclosed. The system (100) can include a
location identifier (102), a communication unit (104), a processing unit (106), and
a task scheduling unit (108). The location identifier (102) can be coupled to a
mobile computing device of the employee to acquire location information of the
employee. The location identifier (102) can be a global positioning system (GPS)
that can be installed already in the mobile computing device to acquire current
location.
[0039] In an embodiment, the system (100) can include the
communication unit (104) that can be configured to receive a ticket generated by
the employee by the associated mobile computing device, where the ticket can be
a request transmitted from the mobile computing device, and the ticket can be
transmitted in the form of a signal. The ticket can be generated by the employee
when travel time of a day is more than the daily travel time as a consequence of
traffic condition.
[0040] In an embodiment, the traffic condition can be any or a
combination of heavy traffic, rain, heavy wind, blocked route, storm, but not
limited to likes.
[0041] In an embodiment, one or more techniques can be used/applied to
analyse the traffic condition, the techniques can be selected from a group
consisting of but not limited to support vector machines, decision trees, artificial
neural networks, and convolutional neural networks.

[0042] In an embodiment, the communication unit (104) can include but
not limited to GSM module, Wireless Fidelity (Wi-Fi) Module, Bluetooth
Module, Li-Fi Module, Wireless Local Area Network (WLAN), and ZigBee.
[0043] In an embodiment, the system (100) can include the processing
unit (106) that can be operatively coupled to the location identifier (102) and the communication unit (104). The processing unit (106) can comprise one or more processors coupled with a memory, the memory can store instructions executable by the one or more processors, and can be further configured to receive location information of the employee and the ticket generated by the employee. Upon receiving location information of the employee and the ticket, the processing unit (106) can further configured to the analyse the location information of the employee to acquire the traffic condition, extract cause of being delayed from the received ticket, match the acquired traffic condition with the extracted cause of being delayed, and reschedule the one or more tasks of the day of the employee, in response to the cause of being delayed factual.
[0044] In another embodiment, the processing unit (106) can be further
configured to actuate the location identifier (102) daily on a pre-defined time to acquire the location information of the employee. For example, office hours start in xyz private limited at 9:00AM, the location of the employee can be detected from the location identifier (102) daily around 9:00AM.
[0045] In an exemplary embodiment, a meeting of an employee of XYZ
private limited is scheduled at 10:00AM, the employee sent a ticket pertaining
that he is getting late due to rain, further the system (100) can receive location
information of the employee and can check weather condition of the location of
the employee. Upon detection of rain at that location, the system (100) can
automatically reschedule the meeting later based on rain. Similarly, the projects
allocated for the day can be rescheduled based on traffic condition.
[0046] In an embodiment, the system (100) can include a task scheduling
unit (108) that can be configured to allocate one or more tasks to the employee on regular basis, and reschedule the task if not finalized on the scheduled day. For

example, the task scheduling unit (108) can allocate tasks such as scheduling
meeting, projects, and the likes automatically on daily basis.
[0047] In an exemplary embodiment, the task scheduling unit (108) can
allocate projects daily to an employee, for example, an employee needs to finalized two projects daily, and then the task scheduling unit (108) can allocate two projects to the associated employee. In some cases, such as due to traffic conditions, illness, and the likes, the employee is unable to finalize the projects on the same day, then the projects can be rescheduled for the following day. Similarly, when due to rain or traffic jam the employee will reach late to the office, then the task scheduling unit (108) can automatically reschedule the allocated tasks such as meetings and projects.
[0048] FIG 2 illustrates exemplary functional components of a system for
rescheduling task of an employee based on location, in accordance with an embodiment of the present disclosure.
[0049] According to an embodiment of the present disclosure, as
illustrated in FIG. 2, a processing unit (106) can include one or more processor(s) (202). The one or more processor(s) (202) can 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 processor(s) (202) can be configured to fetch and execute computer readable instructions stored in a memory (204) of the processing unit (106). The memory (204) can store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory (204) can 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 likes.
[0050] In an embodiment, the processing unit (106) can also include an
interface(s) (206). The interface(s) (206) can comprise a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) may facilitate communication

of system (100). The interface(s) (206) may also provide a communication pathway for one or more components of the system (100). Examples of such components include, but are not limited to, processing engine(s) (208) and database (210).
[0051] In an embodiment, a processing engine(s) (208) can be
implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the 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 processing engine(s) (208) may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may include 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 processing engine(s) (208). In such examples, the processing unit (106) can include 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 processing unit (106) and the processing resource. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry. A database (210) can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0052] In an embodiment, the processing engine(s) (208) can include an
extraction unit (212), a time prediction unit (214), a matching unit (216), a signal generation unit (218), and other unit(s) (220). The other unit(s) (220) can implement functionalities that supplement applications or functions performed by the system (100) or the processing engine(s) (208).
[0053] In an embodiment, the database (210) can include data that is either
stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).

[0054] It would be appreciated that units being described are only
exemplary units and any other unit or sub-unit may be included as part of the system (100). These units too may be merged or divided into super- units or sub-units as may be configured.
[0055] In an embodiment, the processing unit (106) can be configured to
receive a first set of signal pertaining location information in electric form, where the location information can be associated to an employee and can be collected from a location identifier (102) such as GPS. In addition, a ticket generated by the employee from a mobile computing device can be transmitted in form of a second set of signal and can be transmitted to the processing unit (106) through the wireless connectivity (104). The extraction unit (212) can be configured to acquire traffic condition such as rain, excess traffic, accident and the likes from the received location information, also extract cause of being delayed from the received second set of signal. Further, the extracted information can be transmitted to the time prediction unit (214).
[0056] In an embodiment, the time prediction unit (214) can be configured
to apply one or more techniques to analyse the traffic condition, the techniques can be selected from a group consisting of but not limited to support vector machines, decision trees, artificial neural networks, and convolutional neural networks. These techniques can be configured to simulate impact of accidents what if scenarios, if accident is found on route, forecast the traffic conditions, that traffic will be open after 30 minutes or 1 hour, also can identify bottleneck congested roads.
[0057] In an embodiment, the matching unit (216) can be configured to
match the information provided in the ticket with the extracted information, such as excess traffic on the route of employee is detected from the location identifier, and the ticket is also disclosing same, then with the help of the signal generation unit (218) a third set of signal can be generated. The third set of signals can be configured to instruct a task scheduling unit (108) to reschedule the tasks based on traffic condition.

[0058] In an embodiment, the processing engine (208) can be trained and
updated based on the received traffic conditions and the tickets. A leaning model can be trained based on the received traffic conditions and analysed information where the deep leaning model can be stored in the database (210). In yet another embodiment, once the dataset is trained correctly, one or more learning techniques can be configured to perform repetitive, and routine tasks within a shorter period of time.
[0059] FIG. 3 illustrates an exemplary representation of the proposed
system, in accordance with an embodiment of the present disclosure.
[0060] According to an embodiment of the present disclosure, a ticket can
be raised from the employee by a mobile computing device, simultaneously real
time data of location (i.e. location information) of an employee is acquired from a
location identifier (102). The real time data can include climate conditions,
excess traffic conditions, road diversion, and abnormal road conditions. Upon
receiving the ticket from the employee, a processing unit (106) can execute time
prediction unit to analyse the received location information and the ticket
generated by the employee. Analysis can be done using statistical models,
prediction model based on SVM, neural networks, GPS data based techniques,
pattern recognition, and spatiotemporal correlation. Simulation can be done to
discover impact of accidents what-if scenarios, forecasting can be done for traffic
conditions after x minutes, x hours, and the likes, and the identification can be
done for bottlenecks congested roads. For example, when the employee send a
ticket having information that stuck in the traffic, the system (100) can be
configured to analyse the traffic condition in the area and accordingly check for
how long to traffic will be there i.e. for 10 minutes, or for 1 hour.
[0061] In an embodiment, based on analysis, for better employee
management decisions can be taken by the processing unit (106), and the task scheduling unit (108) can reschedule the tasks of the employee for that day. A task scheduler application/ software can be installed on a mobile computing device such as computer, and smart phone. The application can display employee dashboard, where schedule task and task monitoring options can be provided, the

HR/admin or the system (100) automatically can reschedule the task of the day
based on traffic condition. In an embodiment, manager of the employee, or the
HR can easily check the allocated tasks to the employee by using the mobile
computing device, and can schedule or reschedule the tasks.
[0062] FIG. 4 illustrates an exemplary mobile application of the proposed
system, in accordance with an embodiment of the present disclosure.
[0063] According to an embodiment of the present disclosure, an
exemplary user interface installed on a mobile computing device of the employee
is disclosed. The mobile computing device can include applications (also referred
as app, hereinafter), or web interface which may be downloadable from an app
store and installable such as Andriod, iOS, Window Phone, BlackBerry etc. The
app can include a user interface and protocols to communicate. The user interface
can include various options such as but not limited to Wi-Fi, sms, profile,
wallpaper, email, and setting. In addition, a button is also provided to start
scheduling of the tasks. The user interface can be configured to facilitate in
displaying profile of the employee upon selection of the profile option. When the
employee is found stuck in the traffic due to bad weather, he can select "start
scheduling" button and correspondingly a request for rescheduling the projects
allocated for the day or meetings can be done.
[0064] FIG. 5 illustrates an exemplary method for rescheduling task of an
employee based on location, in accordance with an embodiment of the present
disclosure.
[0065] According to an embodiment of the present disclosure, a method
(500) for reschedule tasks of an employee based on location of the employee is
disclosed. At step (502) the method (500) can include receiving location
information of an employee from a location identifier coupled to a mobile
computing device of the employee.
[0066] At step (504), the method (600) can include receiving, a ticket
generated by the employee, when getting late due to traffic condition. The ticket
can be generated the associated mobile computing device by the employee.

[0067] At step (506), the method (600) can include matching traffic
condition extracted from the received location information with the cause of being
delayed extracted from the ticket using one or more techniques. The techniques
can be selected from a group but not limited to support vector machines, decision
trees, artificial neural networks, and convolutional neural networks.
[0068] At step (508), the method (500) may activating a task scheduling
unit for rescheduling the one or more tasks such as meetings, projects submission
on that day, in response to the cause of being delayed factual.
[0069] Moreover, in interpreting the specification, all terms should be
interpreted in the broadest possible manner consistent with the context. In particular, the terms "comprises" and "comprising" should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced.
[0070] 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
[0071] The proposed invention provides a system that is a reliable and
comprehensive tool for an organization to effectively manage large volume of
employees.
[0072] The proposed invention provides a system that is used to pacify
moral dilemmas faced by HR/Admin departments.
[0073] The proposed invention provides a system for improving working
capabilities of HR/Admin departments and employees both by reducing regular

face-time encounters to discuss late- punching reasons and project completion
deadlines.
[0074] The proposed invention providesa system to analyze the travel
disruptions automatically like poor climate conditions, heavy traffic, road
blockage etc., faced by employees while their way to office.
[0075] The proposed invention provides a system to detect location where
the employee is stuck due to various factors and can automatically re-schedule
project meetings and other works to be completed during the day.

We Claim:

1. A system (100) to reschedule one or more tasks of an employee based on
location of the employee, the system comprising:
a location identifier (102) coupled to a mobile computing device of the employee to receive location information of the employee;
a communication unit (104) configured to receive a ticket generated by the employee by the associated mobile computing device, wherein the ticket is generated when travel time of a day is more than the daily travel time as a consequence of traffic condition;
a processing unit (106) operatively coupled to the communication unit, the processing unit comprising one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors configured to:
receive location information of the employee and the ticket generated by the employee,
analyse the location information of the employee to acquire the traffic condition;
extract cause of being delayed from the received ticket; match the acquired traffic condition with the extracted cause of being delayed; and
reschedule the one or more tasks of the day, in response to the cause of being delayed factual.
2. The system as claimed in claim 1, wherein the communication unit (104) comprises any or combination of GSM module, Wireless Fidelity (Wi-Fi) Module, Bluetooth Module, Li-Fi Module, Wireless Local Area Network (WLAN), and ZigBee.
3. The system as claimed in claim 1, wherein the ticket is a request transmitted from the mobile computing device, wherein the ticket is transmitted in the form of a signal.

4. The system as claimed in claim 1, wherein the traffic condition comprises heavy traffic, rain, heavy wind, blocked route, storm, or combination thereof.
5. The apparatus as claimed in claim 1, wherein one or more techniques are used to analyse the traffic condition, the techniques are selected from a group consisting of support vector machines, decision trees, artificial neural networks, and convolutional neural networks.
6. The system as claimed in claim 1, wherein the system comprises a task scheduling unit (108), wherein the task scheduling unit is configured to allocate one or more tasks to the employee on regular basis, and reschedule the task if not finalized on the scheduled day.
7. The system as claimed in claim 1, wherein the processing unit (106) is configured to actuate the location identifier daily on a pre-defined time to acquire the location information of the employee.
8. A method (500) to reschedule tasks of an employee based on location of the employee, the method comprising:
receiving (502), location information of an employee from a location identifier coupled to a mobile computing device of the employee;
receiving (504), a ticket generated by the employee;
matching (506), traffic condition extracted from the received location information with the cause of being delayed extracted from the ticket;
activating (508), a task scheduling unit for rescheduling the one or more tasks of that day, in response to the cause of being delayed factual.