1. A Gesture Based System Humanize Technology

2.  Communication is the way we learn.  What about learners with communication difficulties?  Make technology adapt to these learners! Technology should adapt to human behaviour and not vice versa icreate

3.  High Quality Stereoscopic Camera & complicated vision algorithms Traditional Models Shortcomings  Depend on some input device to measure distance data  Limited tracking icreate

4.  Hand Gesture Recognition System using Microsoft Kinect for Windows v2 Sensor Approach icreate

5.  Deploy Gesture as well as Voice based applications.  IR Capability - Light Independent View  6 skeletons, 25 joints/person  Directional Microphone (4 mic) Features & Benefits icreate

6. Multipurpose Device  People with disabilities  Fun for children  Medical Sector  Home Automation  Corporate Sector for Business Conferences Applications icreate

7. Stages ConceiveDevelopTest*ImplementAnalyze Completed Designing the Prototype Manufacture Devices in compact design Feedback for Improvements *In Progress Stage A Funding for Prototype Stage B Funding for Manufacturing & Marketing icreate

8.  Kinect – Rs 15000  Licensed Software – Rs 5000  Electronics – Rs 5000  Hardware– Rs 5000 Funding Breakup Stage A - PrototypeStage B - Marketing  International Conference on Automatic Face & Gesture Recognition IEEE – Rs 10000  Microsoft Partners for Kinect apps – Rs 10000 icreate

9. Roadmap icreate

10. Team Pratik Kalshetti B Tech II Year Computer Science & Engineering IIT Jodhpur Piyush Dugar B Tech II Year Electrical Engineering IIT Jodhpur  Software Implementation  Public Relations  Hardware Implementation  Marketing icreate

11.  Serve the society through technological innovations in the field of Computer Vision & Machine Learning.  Explore & extend the human computer interaction via interactive products for customers. Aspirations icreate

12. icreate