Wi-fi Positioning System for Attendance

1. WiPAt
Wi-Fi Positioning System for Attendance
Project Guide: Dr. A.S.Hiwale B120388669:- Rishi Sridhar
B120388641:- Omkar Khalipe
B120388684:- Saurabh Shanbhag
B120388560:- Komal Ganjale

2. Introduction
 An accurate and transparent attendance marking system is of
utmost importance in educational institutions as well as businesses.
 In today’s fast-moving world, the main drawback in traditional
attendance systems is its tediousness, and manual effort that the
user has to put in.
 The primary motivation for this project is the need for automation
that would reduce the time and efforts required for this
monotonous job.
 This project will enable us to automate the process of marking
attendance of students in a college, using Wi-Fi Positioning
Systems.

3. Problem Statement
 To create a system that can automate the process of
marking attendance by using the technology of Wi-Fi
Positioning System.
 To reduce human effort and increase efficiency of
attendance marking process and reduce chances of
fraudulent activities.

4. Existing Systems
 Traditional Roll Call & Manual Marking
 Mechanical Punch Clocks
 Time Cards
 Proximity Card
 Biometrics

5. Proposed System
 WiPAt removes all discrepancies of existing systems.
 This system is highly cost effective as compared to
magnetic card and biometric systems.
 The tedious manual effort in roll call system and
mechanical punch clock is reduced by full automation.

6. Key Concepts
1. Location
Fingerprint:
Received Signal Strength
(RSS) values from multiple
routers act as a fingerprint
for a location. Different
locations are most likely to
have unique fingerprints. We
used these unique position
IDs to compare and find
device location.

7. 2. RSSI (dBm) :
 Received Signal Strength
Indicator is the measurement of
the power present in a received
radio signal. This strength is
represented in percentage or
dBm. The corresponding db
values can be easily converted
into distance.
 db >= 0 db = 100% quality
db <= -100 db = 0% quality
(approximately)

8. 3. Weighted k Nearest Neighbour Algorithm:
• The position estimator algorithm used is the Weighted
k Nearest Neighbour (WkNN).
• Finds the k nearest chosen locations from unknown
location based on Euclidean Distance.
• Calculates coordinates of unknown location as the
weighted average of the nearest k points.

9. System Architecture

10. System Requirement
Specification
SRS Developer User
Software Operating System : Windows 7/ 8/ 10
Programming Language : JAVA (Android)
Java Version : JDK 1.6 &amp; above.
IDE : Android Studio
Database : MySQL 5.5.
Web Server : Apache
Operating System :
Android
Hardware Wireless Routers : Quantity: 3, Signal
Strength: 150m
Mobile phone :
Android Smartphone

11. System
Flowchart

12. Data Flow Diagrams
DFD 0

13. DFD 1:

14. UML Diagrams
• 1. Use-Case Diagram

15. 2. Activity Diagram:

16. 3. Sequence Diagram

17. 4. Class Diagram

18. Application Screenshots:
1 2

19. 3 4

20. 5 6

21. 7 8

22. 9 10

23. 11 12

24. 13 14

25. 17

26. Applications of WiPAt
 Efficient attendance system in educational
institutions to analyze student attendance statistics.
 Fraud-proof attendance system in business offices
which will ensure higher employee productivity.

27. Benefits
 Reduced time and efforts
 Reduced errors
 Reduced costs
 Eliminates paperwork
 Increased productivity.
 Central database (easy
access)
 Decreased burden on one
person
 Increased security

28. Challenges
• Fraudulent practices may
still persist in minute
loopholes.
• Power supply for system
and routers needs to be
optimized.
• Device battery usage
optimization required.
• Feasibility issues on large
scale.

29. Future Scope
Wi-Fi Positioning System is a technology with tremendous scope
for the future. Some applications are:
• Device/Person/Vehicle Tracking
• Improved GPS accuracy (3D)
• Crowd Handling
• Augmented Reality
• Security and Theft Detection
The concepts, approach, tools and algorithms used by us enable
efficient positioning with minimum error. The attendance system
can be put to use in various educational institutions and offices
with some more optimization. Basic optimizations include
techniques like face recognition/fingerprint to increase security.

30. Conclusion
• WiPAt is a very human friendly attendance system with
highly efficient technology and algorithms.
• This system, after a few feasibility tests, can be officially
used in colleges where traditional unproductive systems
are still in practice.

31. References
1. Peerapong Torteeka, Xiu Chundi: “Hybrid technique
for indoor positioning system based on Wi-Fi
received signal strength indication”- DOI-
10.1109/IPIN.2014.7275467
2. Xingbin Ge; Zhiyi Qu : “Optimization
WIFI indoor positioning KNN algorithm location-
based fingerprint”- 2016 7th IEEE International
Conference on 26-28 Aug. 2016
DOI: 10.1109/ICSESS.2016.7883033
3. Beom-Ju Shin, Kwang-Won Lee, Sun-Ho Choi, Joo-
Yeon Kim, Woo Jin Lee, Hyung Seok Kim: “Indoor
WiFi positioning system for Android-based
smartphone”, DOI: 10.1109/ICTC.2010.5674691