virtual mouse presentation

1. V.V.P. Institute of Engineering And Technology Solapur
Academic Year 2022-2023
Department of Computer Science And Engineering
Class: B.Tech CSE
Project Topic : “Gesture Controlled Virtual Mouse”
Prof. A.G. Mote
1. Mahesh Uttam Godage
2. Vaishnavi Amar Khatri
3. Kiran Prakash Kadam
4. Prashant Vaman chavan
Group Members
Guide

2. Introduction
Objective
Methodology
Technologies Used
literature review
future Enhancement
Reference
Conclusion
Content

10. Objective
Manage
Computers and
other Devices
with Gesture
Reduce Cost
Of
Hardware
Easier to Create
Tricker Tasks
Such as Creating
3-D Models

11. Technologies Used
All the operations can be virtually controlled by using static and dynamic hand
gestures.
The technologies used are –
• Python 3.11.0
It is a High level ,General purpose programming language .
• OpenCV – 4.5.5
OpenCV is a Python open-source library, which is used for computer vision in Artificial
intelligence, Machine Learning, face recognition.

12. Methodology
Operations on cursor
• Hand Landmark Detection (fingers up(1) and down(0))
• Move
• Left click
• Double click
• Right click
• Scroll Up
• Scroll Down
• Volume control
• Brightness control
Steps-
• It will detect the camera, video interface will be start.
• The camera can extract and recognize human hand gestures from video interface
• Hand tracking functionality is done by media pipe.
• After the recognition the cursor move accordingly, to perform various operation.

13. Serial
no.
Name of the research paper and author Advantages
1
Virtual Mouse using object tracking 2020 by
Cristina Daniel, Monali Shetty
Accuracy of the system in
plain background Is 90%
2
Virtual mouse implementation using open cv 2019
by Dr.Prern Jacob
Used python for hand
gesture recognition
3
Hand gesture virtual mouse for human computer
interaction 2018 by Sherin Mohammad
Get 90% correct detection
for both views, under the
enough light conditions.
Literature Review

14. Existing Proposed
V/S
Existing Consist of simple mouse
application using coloured tips for
detection which are captured by
Web-Cam, difficulty in finding the
hand gestures due to background
noise
The System works by Identifying
the colour of hands and decides
the position of cursor, System can
work for skin tone of any colour
Angle Between Fingers
Background Noise
Skin tone can bother
Limited features
Recognize Patterns
Overcome Background Noise
Works for any skin tone
Number of features

15. FutureEnhancement
• It depends on the needs and intrests of the user.
• We are going to more feature such as
-Face regonition
-object detection
-video editing
-speech recognition
• Improved performance

16. References
• Abhilash S.S.,Lisho Thomas,Naveen Wilson,Chaitnya C “virtual Mouse Using
Virtual Mouse”, International Research Journal of Engineering and Technology
(IRJET) Volume:05 Issue :04|Apr_2018
• Anandi Mishra,Sultan Faiji,Pragati Verma ,Shyam Dwiwedi,Rita Pal “Virtual
Mouse Using Hand Gesture”,Journal of Emerging Techonologies and
Research(JETIR) 2022 JETIR April 2022,Volume 9.
• Viral Doshi,Nishiket Bidawat,Ankit sharma,Parth Sakariya “Gesture Controlled
Virtual Mouse”.

17. • We are developing a system to control the mouse cursor using a real
time Camera.
• This system is based on a computer vision algorithms and can do all
Mouse tasks.
• However it enables to get stable results cause by the variety of lighting
and skin colours of human races.
• This system could be useful in presentations and to reduce work.
• Features such as enlarging and shrinking windows, closing window etc.
By using palm and multiple fingers.
Conclusion

18. THANK
YOU!