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Group-3 (3).pptx
- 1. V.V.P. Institute ofEngineering 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 futureEnhancement Reference Conclusion Content
- 10. Objective Manage Computers and other Devices withGesture Reduce Cost Of Hardware Easier to Create Tricker Tasks Such as Creating 3-D Models
- 11. Technologies Used All theoperations 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 theresearch 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 Consistof 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 dependson 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.,LishoThomas,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 aredeveloping 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
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