| Idea Name: |
Gesture recognition |
| Slogan: |
Facilitating the vocally impaired person |
| Supervisor Name: |
Abdul Wakeel |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
MCS |
| Supervisor Department: |
Electrical engineering(Telecom) |
| Contact number: |
03401932554 |
| Email ID: |
[email protected] |
| Abstract: |
| This work proposes a real time human hand gesture recognition system . The proposed system can recognize 5 different hand gestures |
| What is the unmet need in society that your idea will fulfill ? |
| We aim to facilitate the vocally impaired person and make a mechanism in which real time a disable person can easily communicate. |
| Who needs it ? How many would benefit ? |
| The project aims to facilitate vocally impaired person. Community of vocally impaired person would benefit from this project. |
| How will the solution works |
| Using the advanced technology of FPGA, we aim to do this project in real time. An image will be captured by the camera sensor and we will apply the differential signal into MATLAB machine to get it convert into hex form then we will apply image pre-processing techniques to resize it and filtering and to do other required processing, then we will use the deep learning algorithm integrated with database to get the comparison and achieved our desired result in real time. |
| Who are your competitors ? How is your solution different |
| Our main competitors are those who had and are working it using other techniques including raspberry pi. We are working on FPGA which is considered the most advance technology to meet real time requirements. |
| Status: |
new |
| Entry Date & Time: |
2021-12-13 (1710) |
