Automated payroll with GPS tracking and Image capture

We are introducing automated payroll using GPS location tracking and image capture which uses to view an employee by using the employee?s geographical location and locate the longitude and latitude positions and we can view the path the way he travelled throughout the day and calculates

Project Title

Automated payroll with GPS tracking and Image capture

Project Area of Specialization

Artificial Intelligence

Project Summary

We are introducing automated payroll using GPS location tracking and image
capture which uses to view an employee by using the employee’s geographical
location and locate the longitude and latitude positions and we can view the path
the way he travelled throughout the day and calculates the employee salary, it
eradicates the proxy attendances and fake salary calculations.

Sebastian Thrun He splits the task undertaken by the software in six different
areas.
1. Sensor data processing
2. Localization
3. Obstacle tracking
4. Behavioral module
5. Lane changing
6. Path planning’s
Widyotriatmo, a School of Mechanical Engineering, Pusan National University,
Busan. Widyotriatmo states that a key feature of an Automated payrolltracking is
the ability to switch multiple operations when they need, such as scheduling.

Project Objectives

The main Objectives of this paper is tracking the employee using an android
device and calculating payroll for the working hours he worked. From olden days
there are many methods for evaluating the attendance, for example, paper and
pen method in this method either the supervisor will take the attendance or under
his control, the workers used to sing with their names, but this process had many
backlogs and many proxies can be generated. Later on the technology developed
to great extent in the similar way the way of taking attendance.

The Automated Employee Payroll System will focus on maintaining the
attendance of employees, managing the employee’s expenses, track the
employee’s activities, and then calculate the payroll for that employee based on
the information gathered. After reviewing various papers regarding similar
systems, our proposed system has an integrated attendance system and payroll
generation application based on the attendance in one system. With the help of
regular GPS tracking of the employee, we can oversee the status of the employee
when he is outside the company premises. This information is linked to the
employee’s database and it is used for the computation of the employee’s salary.
Deductions like leaves, withholding tax are also automated.

Project Implementation Method

PHASE-I: We will set up all the Computer Vision and Deep Learning software
needed. The main software tools we are using are Python (the de-facto
programming language for Machine Learning/AI tasks), OpenCV (a powerful
computer vision package) and Tensor flow (Google’s popular deep learning
framework).
3.1.2 PHASE-II: Employee security and authentication are one among the factors in
the current system. Every employee is secured based on their unique user
employee identification number. This unique employee identification number is
the number which is given in the office to secure their account. The employee
identification number along with other information such as location coordinates;
images are also saved in the employee’s Android device.
3.1.3 PHASE-III: Firstly the employee has to install the required APK files on their
Android mobile. Login by his/her login credentials and takes an image for
security purpose. The GPS mobile location service has to be turned turn on when
the system was running for tracking the location. If mobile location service is off
then the process won’t go to further process and a SMS is sent to turn on the
GPS location. The GPS mobile location service helps to track the employee
longitude and latitude positions.
3.1.4 PHASE-IV: When the employee enters the working area, the Android device
of the employee it should be referred to through the internet access or any WIFI
and a SMS is sent to the server which is present in the office, with the employee
identification number and local time of the android device which is referred as
login time of that employee. When an employee leaves the working place, a SMS
is sent to the office computer with employee id and local time which is referred
as logout time and for security purpose, an image is taken to secure the account.

Benefits of the Project

The Automated Employee Payroll System will focus on maintaining the attendance of
employees, managing the employee’s expenses, track the employee’s activities, and
then calculate the payroll for that employee based on the information gathered. After
reviewing various papers regarding similar systems, our proposed system has an
integrated attendance system and payroll generation application based on the
attendance in one system. With the help of regular GPS tracking of the employee, we
can oversee the status of the employee when he is outside the company premises.

It has taken decades, payroll technology has finally perfected the process of entry,
calculations and printing of data. What''s next? Helping payroll professionals to be
more productive, both in the office and at home.
Whether you use in-house software or a service bureau, a revolution is underway to
ensure your payroll solution is available over the Web. Advances in technology must
address accessibility to your payroll solution.

Technical Details of Final Deliverable

System Level Architecture
The automated payroll using GPS location tracking and image capture is client-server based
software and follows unique hardware and software architecture. Combining both the hardware
and software is the main and important part and the hardware and software work together. The
whole software is divided into two parts.
1) Application for android mobile
2) Application for personal computer..

Software Architecture
The software architecture contains the centralized SQL database, the application program, and
the server.
1) Database: The database contains a large number of data tables which store data of the worker
such as employee id, employee name, geographical coordinates, images, working hours and
salary details. We use the SQL database which is easy, fast and efficient and can the store
records and requires a little configuration.
2) Android Application: The android application program is developed with Android language
using the Eclipse framework. The application program provides the UI (User Interface) to both
the employees, hr and admin office server. Programming using Android language is simple, user-
friendly and Android offers a good data connectivity.
3)Web phase application: The web phase application is developed and deployed on the
personalized computer using Apache-Tomcat 7. Tomcat 7 is free, easily deployable and robust.

Hardware Architecture:
The basic requirement of the automated payroll using GPS location tracking and image capture
system is an Android device, which will run the Android application, with which the employees
will log in using their credentials and sends the data for every 5 minutes, mark their attendance
and take their login, logout time automatically without any inconvenience. The other basic
requirement is computed on the database, which will store the data in the data tables. Using this
web phase, the hr and admin able to monitor the employee presents the given location and tells
the payroll details of the employee

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Security

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com